Top San Francisco Ca Jobs

We’re building a team that will research and mitigate extreme risks from future models.

This team will intensively red team models to test the most significant risks they might be capable of in areas such as biosecurity, cybersecurity risks, or deception. We believe that clear demonstrations can significantly advance technical research and mitigations, as well as identify effective policy interventions to promote and incentivize safety.

As part of this team, you will lead research to baseline current models and test whether future frontier capabilities could cause significant harm. Day-to-day, you may decide you need to finetune a model to see whether it becomes superhuman in an eval you’ve designed; whiteboard a threat model with a national security expert; test a new training procedure or how a model uses a tool; brief government, labs, and research teams. Our goal is to see the frontier before we get there.

This team is a technical research team within the Policy team with strong collaboration with the broader Anthropic Research team.

About Anthropic

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

• Leading technical research into model risks
• Developing and testing models with future capabilities
• Designing evals
• Collaborating with outside experts
• Briefing external stakeholders like labs and government.

• Have solid engineering and research skills, particularly around using and training models.
• Have led and executed technical research with a team.
• Are comfortable with messy experimental science. A lot of this is uncharted territory. We optimize for fast feedback loops. You may need to build your own tooling.
• Can clearly articulate and discuss the findings and importance of your work.
• Are mission-driven. You’re inspired to advance AI safety as fast as possible while deploying AI as positively as possible.

• A background in Cybersecurity: You’re a white hat hacker who is curious about LLMs. You’re an academic who researches RL for cybersecurity. You’ve participated in CTFs and you want to automate one.
• A background in Science: You’re a chemist who builds LLM agents to help your research. You’ve built a protein language model and you enjoyed looking through the embedding space. You’re a team lead at an ML-for-drug discovery company. You’ve built software for astronauts or materials scientists.
• A background in Alignment: You’ve written detailed, concrete scenarios of significant risk from AI in a way that can be tested. You have ideas about how evals can be better.

• The expected salary range for this position is $250k - $450k.

Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

Role-specific policy: For this role, we prefer candidates who are able to be in our office more than 25% of the time, though we encourage you to apply even if you don’t think you will be able to do that.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Hivemapper is a decentralized map built by people using their dashcam and smartphone. It represents a fundamental shift in how maps are built. Forward looking businesses use our Map API. Our broad customer base spans enterprise tech, mapping and navigation, transportation and logistics, insurance and real estate, etc.

Our work is fast-paced, collaborative, and cross-disciplinary. We focus on solving hard problems, and we invest in our rapidly growing team and tech to do so.

Leveling

We are actively looking for engineers with different levels of experience, and we will work together to find the right role for your next challenge.

Research & Development Team

The R&D team is responsible for bringing - or inventing - state of the art methods from computer vision, machine learning, 3D reconstruction, and data science to our massive imagery network. This includes developing systems for detection, localization, semantic understanding, 3D reconstruction, complex optimization, etc.

We run code on massive processing clusters, as well as at the edge on smart phones and embedded devices.

Hivemapper is currently in alpha mode and already generating billions of frames of 4k street level imagery across 3 continents. We have an internal data QA team who are available for ad-hoc data annotation and qualitative feedback, as well as large scale relationships with high quality data labeling shops.

Responsibilities

• Keeping up to date with the state-of-the-art Machine Learning developments, and working to integrate them into our solutions
• Analyzing how existing models perform on different scales of locality (global, country, region, urban, suburban, rural, etc.) and working to improve them at large scale
• Working with teams all over the company to design and develop novel solutions to hard problems
• Publishing novel research, supporting open source initiatives, and presenting at conferences
• Helping to foster excellence across R&D

• Experience using machine learning in large-scale production environments
• Experience building systems that process large volumes of data
• Experience or interest in using the following: AWS, Typescript, Python, TensorFlow, PyTorch, Rust, ECS, Kubernetes, C++, GPGPU
• Strong math and analytical skills
• You are always interested in new challenges and are comfortable learning new technologies.

• Medical, dental, and vision benefits including FSA
• Family leave
• 401(k) program
• Unlimited Flex PTO
• Paid lunch
• Commuter benefits

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note to Recruitment Agencies: Hivemapper does not accept unsolicited agency resumes. Furthermore, Hivemapper does not pay placement fees for candidates submitted by any agency other than its approved partners.

We are looking for a talented Executive Assistant to support our CEO. This highly leveraged role will support the Chief Executive Officer with calendar management, organization, travel booking, meeting management, and more. As EA, you’ll provide logistic and organization support to the CEO to ensure his time is used to the fullest. You will work closely with and be managed by the CEO’s Chief of Staff.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Manage our CEO’s calendar and arrange meetings
• Manage our CEO’s inbox
• Make travel and accommodation arrangements
• Develop personalized organizational systems that work best for the two of you
• Support on drafting and editing information for internal and external communication – emails, messages, memos
• Managing expense claims and reimbursements, ensuring timely processing and accurate record-keeping
• Setting up and managing filing and record-keeping systems to ensure easy retrieval of information, enabling quick and efficient decision-making

• You are highly organized, detail oriented, and have excellent time management skills
• You have experience scheduling events across multiple, busy calendars
• You have strong communication skills, both written and verbal
• You are calm under pressure and prioritize masterfully
• You are able to receive feedback and adjust accordingly. 
• You are creative at coming up with operational systems that work with an individual’s preferences and adapting to the needs of a quickly growing company
• You enjoy operating in a fast-paced, startup environment
• You have high discretion and a strong commitment to confidentiality

• Experience supporting an executive in a similar role before

• The expected salary range for this position is $130K - $230

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

As a member of the sales team at Anthropic, you will use your sales and product expertise to drive adoption of Anthropic’s emerging products. You will collaborate with product and engineering teams to win strategic deals and develop new market segments.

You might embed with existing and prospective partners, ensuring these partners find success with Anthropic’s models. From your work with partners you’ll help us develop our go-to-market strategy and develop operational processes as we scale.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Win new business for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to contract signature
• Help Anthropic develop new market segments
• Become a trusted partner to our customers. Co-create and execute implementations alongside customer stakeholders and our engineering team
• Work cross-functionally with Biz Ops and Engineering to share feedback from customers
• Use your learnings to build and iterate on our sales playbook and processes

• Have 5+ years enterprise sales experience
• Are able to effectively manage across disparate stakeholder groups in customer organizations
• Are comfortable presenting to and communicating with all levels of customer teams from ICs to C-level executives
• Have experience operating in fast-paced, technology start-ups, ideally in a previous sales role
• Are comfortable in unstructured environments, and have a knack for bringing order to chaos
• Are a natural people person who is as comfortable working with customers as with internal stakeholders
• Are an excellent communicator
• Are highly organized and a self-starter
• Are a structured thinker who can think analytically about market segments and prospective partners
• Have a passion for and/or experience with advanced AI systems, and feel strongly about ensuring these systems are developed safely

• The expected salary range for this position is $200k - $380k.

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

As a Public Policy Manager (Product) on the Public Policy team, you will serve as the bridge between our Product organization and the policy community. You will explain our products to policymakers around the world, as well as lead our external engagement on policy issues that affect our commercial offerings, including data privacy, intellectual property, Trust & Safety (T&S), and other topics as they arise. In parallel, you will help shape the ongoing development of our products so that they appropriately reflect updates and changes in the broader policy community.

This role is highly cross-functional and you will collaborate closely with our Product, Legal, T&S, and Communications teams. You will work with many of these teams to spearhead due diligence efforts and implement regulatory frameworks into our product development process. You will also build and maintain relationships with civil society organizations to inform our product policies and internal design practices, in partnership with the T&S and Policy teams.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Developing proactive policy campaigns that explain our products, users, and Trust & Safety policies to policymakers in multiple geographies
• Spearheading engagement with policymakers in response to inquiries regarding our products
• Conducting gap analyses between our internal processes and recommended policy frameworks
• Designing and executing a policy campaign for regulatory proposals to govern general-purpose AI systems including large language models (LLMs) in commercial applications
• Working cross-functionally with Product, Legal, and Trust & Safety teams to conduct policy reviews and impact assessments on our products
• Working cross-functionally with Communications, Product, and Trust & Safety teams to clearly communicate product design decisions and product policies
• Building and maintaining relationships with key policymakers and national regulatory authorities
• Building and maintaining relationships with civil society and advocacy groups

• Have a strong track record working cross-functionally with Product, Legal, Trust & Safety, and Communications teams on product design and policy developments
• Demonstrated experience briefing policymakers and regulatory authorities in multiple markets including the U.S. and the E.U.
• Have experienced collaboration with Product teams to ensure products conform to policy requirements, frameworks, and toolkits
• Experience designing and advocating for concrete policy and regulatory proposals for consumer and / or enterprise technology products
• Exceptional communication skills and an ability to explain complex technical concepts to non-technical stakeholders
• 7+ years Public Policy experience, in technology companies or government (or both!)

• Have a deep familiarity with data privacy, security, T&S, or intellectual property topics
• Have experience with AI / ML
• Have experience building partnerships with civil society and advocacy groups to inform Trust & Safety policies 
• Have experience representing Public Policy on internal review committees or product review processes

• The expected salary for this position is $300k USD.

Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

As a Customer Success Manager, you will help the world’s largest companies harness the transformative potential of LLMs to improve their products and services. You’ll ensure that Anthropic delivers value to customers, finds additional opportunities within current accounts, and establishes lasting relationships with key decision makers.  

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Becoming an expert in Anthropic's products, methodology, and prompting techniques
• Partnering with the Anthropic Account Executives and Product Researchers team to onboard new customers, and retain and grow existing customers
• Leading customer renewal strategy and using case-specific recommendations to key contacts at customer organizations
• Working with internal teams to develop new products and services that meet customer needs
• Conducting Quarterly Business Reviews for strategic accounts, in partnership with Account Executives
• Identifying patterns across customers and representing customer needs in Anthropic's product planning processes
• Forecasting and mitigating risks related to customer renewals and retention

• Have 5+ years of experience in customer success, account management, or a related role
• Have a proven track record of quota attainment against retention and upsell objectives
• Have a self-motivated, results-oriented work style
• Have strong presentation and communication skills, especially when interacting with executives and leaders  
• Have a personal passion for ensuring the safe and ethical development of AI

• The expected salary range for this position is $240k - $280k.

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

About Attentive: 

Attentive® is the leader in conversational commerce, reinventing business to consumer communication. Our SMS-first software platform helps everyone from entrepreneurs to enterprises strengthen relationships with their consumers in a new way. Through two-way, real-time, personalized communications, we drive billions in e-commerce revenue and over 8,000 leading brands like CB2, Urban Outfitters, Crocs, Jack in the Box, and Coach rely on Attentive to deliver powerful commerce experiences.

Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!

Who we are:

We are seeking a Group Product Manager (GPM) to lead our Concierge (https://www.attentive.com/concierge)  product onsite in San Francisco (hybrid in-office Tues-Thurs).  Concierge is a conversational commerce chatbot.  It enables users to reach out directly to brands and get an immediate reply.  The generative AI capabilities are combined with Attentive’s platform that integrates data across the web, ecommerce platforms, and omni channel marketing. This provides Concierge with a complete view of the customer’s brand interaction to create magical conversations bespoke to the individual.

The leader for this role will have direct revenue responsibility and ownership over the product line.  They will be responsible for driving its success from the current nascent phases through full scale. A successful leader will be eager to jump into a fast move and data-driven environment.  They will have an eagerness to dive into the technology and customer use cases to match the evolving AI landscape. 

Why Attentive needs you:

• Lead product strategy and discovery of our Concierge products
• You will act as a player/coach wherein you will lead your own team, while also being responsible for hiring, coaching and developing 2-5 other PMs.
• Connect with customers and customer facing teams to understand user needs, develop insights, inform and drive our Automation roadmap
• Leverage critical metrics to provide actionable business recommendations   

• You have 7+ years experience as a Product Manager leading strategic vision, crafting product roadmaps, and coordinating product strategies across a group of products.
• You think deeply, quickly and analytically - driving business outcomes for our customers
• You measure your success through shipped full products and can point to specific examples where you have owned a high-impact release from discovery through scaling revenue.
• You are deeply analytical and are comfortable sorting through data & using it to make data driven decisions
• You are an excellent communicator and storyteller (written & verbal), both with technical and non-technical audiences.

You’ll get competitive perks and benefits from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

- The standard base salary range for this position is $199,200 - $249,000 annually.

- This position is eligible for equity in the form of RSUs.

#LI-BH1

Attentive Company Values

Default to Action - Speed is our best offense and defense

Never Settle - Continuously raise the bar for yourself and your teammates

Hard Work Solves Big Problems - Success requires grit and resilience

Be Attentive - Work together as a team to drive greatness for our company and our customers 

Learn more about AWAKE, Attentive’s collective of employee resource groups.

If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.

At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation.

We are looking for a software engineer to join our product team and help build interfaces and APIs to interact with large language models. You will work with a team of engineers and researchers to design and implement key components of our product and platform.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Build core components of the API to access large language models
• Write billing, email, and other integrations with third party providers
• Develop conversational interfaces that leverage the language models
• Optimize the API and interfaces for performance, robustness, and ease of use
• Implement tools and processes to monitor model behavior and performance
• Work with researchers to improve interfaces based on interactions with real users

• Have 2+ years of experience as a software engineer, preferably building APIs and/or interfaces
• Have strong coding skills in Python and TypeScript and experience with service-oriented architectures
• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use
• Enjoy working with a fast-paced team tackling cutting-edge problems in AI safety and conversational AI
• Enjoy pair programming (we love to pair!)

• Have worked with NLP and ML models before and understand their capabilities and limitations
• Have experience with REST APIs
• Have experience with react and frontend frameworks
• Have experience with containerization and DevOps
• Have experience with QA and testing automation
• Have experience with privacy and security best practices

• The expected salary range for this position is $300k - $520k USD.

Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Perplexity AI is looking for an experienced Infrastructure Engineer to join our team and help us build and maintain the infrastructure to power our products. You will be responsible for developing and maintaining our cloud infrastructure, monitoring system performance, and automating processes to ensure high availability. If you have experience working with cloud services and infrastructure, and are excited to contribute to a next generation product, this is a perfect opportunity to apply those skills.

Responsibilities:

• Design, implement, and monitor scalable infrastructure
• Troubleshoot performance and scaling bottlenecks and ensure high availability
• Collaborate with development teams to support new applications
• Optimize infrastructure for performance and cost efficiency
• Maintain best practices for code quality, security, and testing

• Strong programming skills (Python, C++)
• Versatility across the infrastructure stack (docker, SQL, caching, networking, load balancing)
• Experience working with common cloud providers (AWS, GCP, Azure)
• Track record of working with large scale infrastructure
• Enthusiasm and independence, with a willingness to take ownership of tasks
• A passion for solving challenging problems
• 4+ years industry experience
• BS in Computer Science

About Perplexity AI

Perplexity recently raised a $25.6M Series A led by New Enterprise Associates (NEA) with participation from Databricks Ventures and amazing individual investors like former GitHub CEO, Nat Friedman, Color Health Founder, Elad Gil, Google AI SVP, Jeff Dean and Former President of Microsoft, Bob Muglia. More about the announcement can be found HERE.

Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.

We're looking for a Physical Security Officer to provide daily physical security access control to protect our people, spaces and assets. You will provide physical and occasional administrative security support while interfacing with both internal stakeholders and external visitors and contractors. You will also provide a variety of security related services to support physical security, including personnel and visitor clearance administration and conduct security escorts as needed.

About Anthropic

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

• Controlling access to spaces, ensuring authorized personnel, visitors and vendors only
• Conduct regular patrols and deter suspicious activity while inspecting for vulnerabilities and suggest security enhancements
• Respond promptly to security incidents and emergencies and collaborate/assist with law enforcement and emergency services
• Assist with development and implementation of security policies and procedures
• Conduct security briefings and training with employees as needed
• Assist the Physical Security Director and overall security team with ongoing security projects, which may include gathering metrics, conducting research and providing support in the implementation of new security initiatives
• Collaborate with facilities, HR, and IT teams to integrate security into their workflows and processes
• Oversee security education and awareness training programs for all employees
• Review and approve personnel security clearance requests
• Provide support for onsite and offsite events, including access control, crowd management and asset protection, to maintain a safe and secure environment

• Have 10 years of physical security experience
• Have proven experience as a Physical Security Officer or a similar role, preferably in a corporate or technology environment
• Demonstrate strong Knowledge of security best practices, procedures and technologies; including access control systems, CCTV surveillance, and alarm systems. 
• Are familiar with relevant laws, regulations and industry standards pertaining to physical security
• Have exceptional observation and situational awareness skills to detect and respond to security incidents and threats both proactively and reactively
• Possess excellent communication and interpersonal skills, with the ability to interact professionally with employees, visitors, vendors and law enforcement personnel and write effective reports.
• Have the ability to perform regular security patrols and respond during emergencies
• Have experience supporting and providing physical security for events.

• Have experience supporting medium or large tech companies in security other related roles such as facilities and operations support, or project management roles.
• Care about AI safety risk scenarios

• 100% of the skills needed to perform the job
• Formal certifications or education credentials

• The expected salary range for this position is $130-270k.

Logistics

Location-based hybrid policy: Currently, we expect this role to be in our SF office 100% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

We are looking for an enthusiastic Front Office Coordinator to join our team. If you love creating spaces where your colleagues can focus, collaborate and do their best work, you might be a great fit for this role!

About Anthropic

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

• Greeting and managing our visitors and contractors. You’ll be the first impression for our guests and work with security to help track and greet visitors, and make them feel welcome. You’ll also be escorting and directing vendor contractors who are here to do one-off and recurring tasks to ensure compliance with our policies
• Delivery and mail management, including Amazon deliveries, larger office deliveries, staff and priority mail, shipping requests, and tracking delivery requests and returns
• Calendar management. Making sure to notify when there are service needs or planned visiting personnel that overlap with office holidays or highly-sensitive events

• Enjoy making people feel welcome and hosting visitors
• Have a service and solution-based mindset/internal customer orientation, and are excited to take on essential but behind-the-scenes tasks so others can do impactful work
• Enjoy rolling up your sleeves and handling day-to-day tasks as they arise – no task is too big or too small
• Desire to learn more about the ways our team contributes to the overall mission at the company

• Have 1-2 years of experience as an office assistant, coordinator, or similar
• Have previous experience working with vendors or security systems
• Have previous hospitality experience
• Exhibit an interest in or passion for AI
• Speak more than one language

• Previous experience working with AI directly 
• Proficiency in computer science

• The expected salary range for this position is $115k-$160k.

Logistics

Location-based hybrid policy: Currently, we expect this role to be in our office 4-5 days per week.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Perplexity AI is looking for an experienced Backend Engineer to join our team and help us develop and deploy efficient and powerful search and ranking systems. You will be responsible for developing performant backend retrieval systems while working with machine learning and language models. If you have experience working on search and ranking problems and looking to push the limits, this is a perfect opportunity to apply those skills to a next generation product.

Responsibilities:

• Implement and optimize search and retrieval systems
• Scale architectures while optimizing performance and accuracy
• Improve performance over time while working closely with data and machine learning models

• Strong programming skills, with versatility across the backend stack
• Track record of working with search and ranking problems
• Enthusiasm and independence, with a willingness to take ownership of tasks
• A passion for solving challenging problems
• 4+ years industry experience

About Perplexity AI

Perplexity recently raised a $25.6M Series A led by New Enterprise Associates (NEA) with participation from Databricks Ventures and amazing individual investors like former GitHub CEO, Nat Friedman, Color Health Founder, Elad Gil, Google AI SVP, Jeff Dean and Former President of Microsoft, Bob Muglia. More about the announcement can be found HERE.

Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.

When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"

The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. 

People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. If you're unfamiliar with this type of research, you might be interested in this introductory essay, or Zoom In: An Introduction to Circuits. (For a broader overview of work in this space, one of our team's alumni maintains a helpful reading list.)

Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer".

Some of our team's notable publications include A Mathematical Framework for Transformer Circuits, In-context Learning and Induction Heads, and Toy Models of Superposition. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread, Multimodal Neurons, Activation Atlases, and Building Blocks.

We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our recent vision post). In the short term, this means a we focus a lot of our attention on the issue of "superposition" (see Toy Models of Superposition, Superposition, Memorization, and Double Descent, and our May 2023 update). But this is just a stepping stone towards our goal of mechanistically understanding neural networks.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
• Design and run robust experiments, both quickly in toy scenarios and at scale in large models
• Build infrastructure for running experiments and visualizing results
• Work with colleagues to communicate results internally and publicly

• Have a strong track record of scientific research (in any field), and have done some work on Interpretability
• Enjoy team science – working collaboratively to make big discoveries
• Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away
• You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results
• You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null

• The expected salary range for this position is $250k - $520k

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: We expect to be hiring for this role intermittently, but our plan is to hire a few people in the next 2-3 months, and then will likely slow hiring while the team settles.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

LinkedIn tracking: #LI-DNI

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Perplexity AI is looking for an experienced Front End Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for building UI for the latest advances in AI.

Our front-end stack includes TypeScript, React, and Tailwind. The ideal candidate should have strong programming skills, an interest in search and large language models, and a passion for delivering a great UX backed by a quality UI.

Responsibilities:

• You will develop new UIs for Perplexity's evolving technologies
• You will maintain and iterate on the existing UIs for Perplexity's current products
• You will develop the reusable component libraries that powers Perplexity's front end
• You will drive decisions around what tools we use and how we can write good code together

• Strong JavaScript fundamentals and a proven track record of working with React, Tailwind, and TypeScript
• Enjoys the craft of building nice UI, creating a good UX, and writing code that can be reused by others
• Understands how to manage performance and speed on the front end
• Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership
• A passion for shipping
• 4+ years industry experience

About Perplexity AI

Perplexity recently raised a $25.6M Series A led by New Enterprise Associates (NEA) with participation from Databricks Ventures and amazing individual investors like former GitHub CEO, Nat Friedman, Color Health Founder, Elad Gil, Google AI SVP, Jeff Dean and Former President of Microsoft, Bob Muglia. More about the announcement can be found HERE.

Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.

Summary

This role is about investigating the fundamental questions of intelligence, knowledge and understanding in order to develop software with human level intelligence. You will collaborate internally and externally with other researchers, and be supported by a team of research engineers.

Research areas of interest

• Unsupervised RL

• Self-supervised learning

• Multi-task RL

• Meta-learning

• Continual learning

• Deep learning theory

• Generalization

• Human-like learning

• Network architecture search

• etc.

You are

• A highly accomplished machine learning researcher (e.g., a track record of high quality papers at top conferences like NeurIPS, ICML, ICLR, etc., or equivalent accomplishments in industry).

• Able to create research questions that clarify the nature of the problem being solved, and coordinate a research program to successfully answer those questions.

• Extremely comfortable running ML experiments.

• Able to clearly communicate about your ideas and intuitions.

• Excited to mentor a small team of great research engineers.

Benefits

• Work directly on answering the fundamental questions of intelligence, learning, and knowledge, free from politics and pressures to publish or commercialize your research.

• Generous compensation, equity, and benefits.

• Actively co-create and participate in a positive, intentional team culture.

• Frequent team events, dinners, off-sites, and hanging out.

• $20K+ yearly budget for self-improvement: coaching, courses, conferences, etc.

How to apply

All submissions are reviewed by a person, so we encourage you to include a cover letter. If you have any other work that you can showcase (open source code, side projects, etc), you should certainly include it!

We try to reply either way within a week or two at most (usually much sooner).

We know that talent comes from many backgrounds, and with many different skills and preferences. That’s why we have a hiring process that gives you the ability to showcase yourself in a variety of different ways, depending on what feels best for you.

Learn more about our full interview process here.

About us

We started Generally Intelligent because we believe that software with human-level intelligence will have a transformative impact on the world. We’re dedicated to ensuring that that impact is a positive one.

We have enough funding to freely pursue our research goals over the next decade, and our backers include Y Combinator, researchers from OpenAI, Astera Institute, and a number of private individuals who care about effective altruism and scientific research.

Our research is focused on agents for digital environments (ex: browser, desktop, documents), using RL, large language models, and self supervised learning. We’re excited about opportunities to use simulated data, network architecture search, and good theoretical understanding of deep learning to make progress on these problems. We take a focused, engineering-driven approach to research.

Summary

In this role you’ll work with our researchers to do cutting-edge deep learning research—conducting experiments, creating infrastructure, and developing tooling & visualizations—with the goal of developing more human-like machine intelligence.

Note: This research role requires being onsite in San Francisco. If you're remote, please take a look at our Machine Learning Engineer (Remote) role, which is more engineering-heavy.

Example projects

• Implement a self-supervised network using contrastive and reconstruction losses.

• Create a library on top of PyTorch to enable efficient network architecture search.

• Implement networks from newly published papers.

• Run massively parallel experiments to understand all variants of an architecture.

• Develop more realistic simulations for training our agents.

• Create visualizations to help us deeply understand what our networks learn and why.

You are

• Passionate about understanding the fundamentals of intelligence.

• Very comfortable writing Python.

• Excited to be a world-class ML engineer.

• A fan of pair programming.

• Passionate about engineering best practices.

Benefits

• Work directly on creating software with human-like intelligence.

• Generous compensation, equity, and benefits.

• $20K+ yearly budget for self-improvement: coaching, courses, conferences, etc.

• Actively co-create and participate in a positive, intentional team culture.

• Spend time learning, reading papers, and deeply understanding prior work.

• Frequent team events, dinners, off-sites, and hanging out.

How to apply

All submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.

We try to reply either way within a week or two at most (usually much sooner).

Learn more about our full interview process here.

About us

We started Generally Intelligent because we believe that software with human-level intelligence will have a transformative impact on the world. We’re dedicated to ensuring that that impact is a positive one.

We have enough funding to freely pursue our research goals over the next decade, and our backers include Y Combinator, researchers from OpenAI, Astera Institute, and a number of private individuals who care about effective altruism and scientific research.

Our research is focused on agents for digital environments (ex: browser, desktop, documents), using RL, large language models, and self supervised learning. We’re excited about opportunities to use simulated data, network architecture search, and good theoretical understanding of deep learning to make progress on these problems. We take a focused, engineering-driven approach to research.

You care about making safe, steerable, trustworthy systems and are excited to commercialize them. You want to work at the confluence of safety research, capabilities research, and product. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that means running and designing experiments, working with major partners to improve our AI systems for their use cases, funneling AI safety and capabilities advances together into a single new system, or partnering with the API team to ensure the safety and security of new deployments. You're excited to write code when you understand the research context and more broadly why it's important.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Using Constitutional AI to improve AI safety, reliability, and performance in deployment
• Profiling and improving the compute efficiency of various RL implementations
• Design and manage untrusted execution environments
• Scaling a distributed training job to thousands of GPUs
• Creating a dashboard of evaluations for a variety of AI models and deploying it to customers

• Have extensive software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts and long-term implications of your work

• Have experience with high performance, large-scale ML systems
• Have experience with GPUs, kubernetes, pytorch, OS internals
• Have experience with language modeling with transformers
• Have experience with reinforcement learning
• Have experience with large-scale ETL

• The expected salary range for this position is $250k - $450k.

Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

Role-specific policy: For this role, we prefer candidates who are able to be in our office more than 25% of the time, though we encourage you to apply even if you don’t think you will be able to do that.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Perplexity AI is looking for an experienced Mobile Engineer with focus on Android to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for building and maintaining the Perplexity Android app.

The ideal candidate should have strong programming skills, an interest in search and large language models, and a passion for delivering a great UX backed by a quality UI.

Responsibilities:

• You will develop a native Android app for Perplexity's evolving product
• You will define the processes around mobile development, including testing, release, monitoring
• You will work with the core team to design and implement novel mobile experiences

• Strong Android fundamentals and a proven track record of working with a modern Android stack built in Kotlin
• Enjoys the craft of building nice UI, creating a good UX, and writing code that can be reused by others
• Understands how to manage performance and speed on the front end
• Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership
• A passion for shipping
• 4+ years industry experience

About Perplexity AI

Perplexity recently raised a $25.6M Series A led by New Enterprise Associates (NEA) with participation from Databricks Ventures and amazing individual investors like former GitHub CEO, Nat Friedman, Color Health Founder, Elad Gil, Google AI SVP, Jeff Dean and Former President of Microsoft, Bob Muglia. More about the announcement can be found HERE.

Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.

Perplexity AI is looking for a Senior Mobile Engineer with focus on iOS to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for an iOS app for our product.

The ideal candidate should have strong programming skills, an interest in search and large language models, and a passion for delivering a great UX backed by a quality UI.

Responsibilities:

• You will develop a native iOS app for Perplexity's evolving product
• You will define the processes around mobile development, including planning, testing, releasing, and monitoring
• You will work with the core team to design and implement novel mobile experiences

• Strong Swift fundamentals and a proven track record of working with a modern iOS stack built with SwiftUI, UIKit, and CoreData
• Enjoys the craft of building nice UI, creating a good UX, and writing reusable and testable code
• Understands low-level intricacies, and knows how to profile and measure app performance and speed
• Comfortable working with a small, fast-moving team, and must be willing to dive in and take ownership
• A passion for iOS development, and enjoys experimenting with what's new with each iteration of iOS and iPadOS
• 4+ years industry experience

About Perplexity AI

Perplexity recently raised a $25.6M Series A led by New Enterprise Associates (NEA) with participation from Databricks Ventures and amazing individual investors like former GitHub CEO, Nat Friedman, Color Health Founder, Elad Gil, Google AI SVP, Jeff Dean and Former President of Microsoft, Bob Muglia. More about the announcement can be found HERE.

Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.

Perplexity AI is looking for an experienced Full Stack Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for turning the latest advances in AI into products for our users.

Our stack includes TypeScript, React, Python, Docker, Azure, AWS, GCP. The ideal candidate should have strong programming skills, an interest in search and large language models, and an ability to work up and down the stack: from monitoring process behavior on cloud instances all the way to writing performant and reusable React components.

Responsibilities:

• Develop and scale our suite of applications as Perplexity grows
• Monitor, debug, and fix technical issues with deployed applications
• Collaborate with team members (researchers, engineers, product managers, and designers) to fill in gaps and ship product
• Improve both the speed and quality of our code base and engineering processes

• Strong programming skills, with versatility across the whole stack and an ability to pick up new languages and tools quickly
• Track record of successfully working in similar roles
• Enthusiasm and independence, with a willingness to dive in and take ownership of tasks
• A passion for shipping
• 4+ years industry experience

About Perplexity AI

Perplexity recently raised a $25.6M Series A led by New Enterprise Associates (NEA) with participation from Databricks Ventures and amazing individual investors like former GitHub CEO, Nat Friedman, Color Health Founder, Elad Gil, Google AI SVP, Jeff Dean and Former President of Microsoft, Bob Muglia. More about the announcement can be found HERE.

Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.

You’ll lead the “tokens” team, which manages infrastructure related to data and prepares data for our training runs. We believe that there are three key ingredients to making progress in AI: compute, data, and algorithms. Data is often paid the least attention to externally, but we think it can make as much of a difference to the quality of the model as each of the other two. This team has three critical responsibilities that all must be executed well in order for Anthropic to succeed:

1. Science of Data: Once we’ve acquired data, we need to figure out the best ways to use it and make sure we’re in shape for training runs. This work primarily consists of coming up with ideas, doing ML experiments, and following up with careful analysis of the results.

2. Data Availability: Large language models need significant amounts of data to be able to train, and having the necessary number of tokens is essential for improving our language models. The data needs to be high quality and diverse for the performance of the model and also to supply research datasets.

3. Infrastructure: The team maintains data pipeline infrastructure as well as the tokenizer required to rapidly process data on the order of terabytes. This infrastructure is relied upon by other research teams to easily manipulate their data as well as the tokens team to quickly turn around training datasets and do research.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed business leaders working closely with engineers to commercialize Anthropic’s state-of-the-art models.

Responsibilities:

• Be responsible for delivering as large and high quality of a dataset as possible for our large training runs
• Prioritize the team’s work in improving our tokens and infrastructure, in collaboration with senior engineers and other stakeholders
• Steer cycles and processes of our research in support of the science of data work
• Guide the team through growth and evolving research focus in uncharted territory
• Coach and develop your reports to decide how they would like to advance in their careers and help them do so

• Believe that advanced AI systems could have a transformative effect on the world, and want to help make sure that transformation goes well
• Have an interest in understanding the role of data in language models, working on large scale systems or orchestrating one-off research tasks
• Are an experienced manager and enjoy practicing management as a discipline

• At least 1 year of prior engineering management or equivalent experience.
• You can come into our San Francisco office at least 25% of the time.

• People management: Coaching, performance evaluation, mentorship, and career development.
• Project (research) management: Prioritization, communicating across team/org boundaries, and keeping research on track.
• Technical expertise: Keeping a strong understanding of which datasets are valuable to the training, understanding how data works in language model training and being able to maintain good practices on the codebase and infrastructure. We expect this to be a skill that is developed on the job, and will be looking for related experiences such as having research experience, being well-read in LLMs, or having led work that involves rapid hacking and interpreting complex results. Skills in research management will be prioritized over engineering management. 
• Recruiting: Predicting staffing needs, designing interview loops, evaluating candidates, closing candidates.

• The expected salary range for this position is $300k - $520k.

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time. For this role, we prefer candidates who are able to be in our office more than 25% of the time. We have a preference for candidates who are based in the Bay Area, as most of the team is in San Francisco, though we believe that candidates with skills managing a remote team can be just as effective. 

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

About Quizlet:

Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.  

Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.  

Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.  

To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.

About the Team:

You will be a part of the AI Exploration team at Quizlet. This team is focused on helping students practice and master whatever they are trying to learn by leveraging generative AI to better serve their learning needs. This team is focused on exploring new areas of product opportunity made possible by generative AI.  

About the Role:

We’re looking for a Principal Product Manager who can help shape the product vision and roadmap for advanced AI-powered products that help students learn. You will partner closely with other teams at Quizlet and will operate in a fast-learning, iterative, exploratory environment to identify new areas of opportunity.

This is a hybrid role based in our San Francisco, CA office. While you are currently permitted to work remotely in the San Francisco Bay Area, you must remain able to work in the San Francisco office as business needs dictate and as identified by your manager.

In this role, you will:

• Develop and articulate a bold product strategy for the AI Exploration team that ensures Quizlet can take advantage of the fast-changing AI advancements to better serve our students
• Conduct comprehensive research on generative AI technologies and stay up-to-date with the latest advancements, trends, and applications
• Analyze the potential impact of generative AI on students and teachers, identifying opportunities to enhance their educational experience
• Work closely with cross-functional teams, including Machine Learning, Design, and Engineering, to define product requirements, prioritize features, and deliver high-quality products that meet user needs and drive business objectives
• Be a thought leader and advocate for the role of generative AI in the overall Quizlet product roadmap

• 6+ years of PM experience in large-scale consumer products
• Experience with generative AI technologies such as GPT, VAE, TensorFlow (talk to ML about particular technologies)
• Experience identifying new-to-world features and delivering quantifiable results
• Comfortable working on a cross-functional team in a fast-paced startup environment with imperfect information and limited resources
• Excited about bringing the magic of Quizlet to 1.4 billion students across the world, improving learning through low-cost online study tools
• A desire to be involved in every step of the product development process, from deeply understanding students & teachers, analyzing metrics, and building a roadmap, to working with engineers, designers, and other product managers to revolutionize the learning experience for our users around the world
• Ability to deliver projects end-to-end, from concept to production and beyond

• Background in artificial intelligence/machine learning
• Experience with generative AI technologies such as GPT

• Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $210,000 - $270,000, depending on location and experience, as well as company stock options
• Collaborate with your manager and team to create a healthy work-life balance
• 20 vacation days (and we expect you to take them!)
• Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
• Employer-sponsored 401k plan with company match
• Access to LinkedIn Learning and other resources to support professional growth
• Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
• 40 hours of annual paid time off to participate in volunteer programs of choice

We strive to make everyone feel comfortable and welcome! 

We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.

We provide a transparent setting, that gives a comprehensive view of who we are!  

In Closing:

We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.

We have a bias for action, take initiative, and take pride in delivering results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.

Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

To All Recruiters and Placement Agencies:

At this time Quizlet does not accept unsolicited agency resumes and/or profiles. 

Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by $250+ million from top-tier investors like Andreessen Horowitz, NEA, and Addition.

Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.

As a Lead Product Manager focused on machine learning, you will play a pivotal role in shaping and driving the development of products that power the biggest and most complex AI applications. You will lead a talented team of product managers, engineers, and data scientists to deliver innovative solutions that meet our customers' needs. This is an exciting opportunity to work at the intersection of AI and real-world applications, transforming industries and driving impact.

Responsibilities:

• Define and execute the product vision and strategy for our machine learning products, aligning with the company's overall goals and objectives
• Lead a team of product managers, guiding them in the development of product roadmaps, feature prioritization, and delivery timelines
• Collaborate closely with cross-functional teams, including engineering, data science, design, and marketing, to ensure successful product development and launch
• Conduct market research, competitive analysis, and user feedback analysis to identify market trends and customer needs
• Work closely with customers and stakeholders to gather requirements, understand pain points, and validate product concepts
• Drive the agile development process, including sprint planning, backlog grooming, and release management
• Monitor product performance, analyze user metrics, and iterate on product features to optimize user experience and drive customer satisfaction
• Stay up-to-date with the latest advancements in machine learning and AI technologies, identifying opportunities for innovation and growth
• Foster a culture of collaboration, inclusion, and continuous learning within the product management team and across the organization

• Bachelor's or advanced degree in Computer Science, Engineering, or a related technical field
• MBA or equivalent business experience is a plus
• Proven 5+ years experience as a Product Manager in a technology-driven company, with a focus on machine learning or AI products
• Strong understanding of machine learning concepts, algorithms, and applications
• Track record of successfully delivering complex software products or platforms from concept to launch
• Exceptional leadership and people management skills, with the ability to inspire and motivate cross-functional teams
• Excellent communication skills, both written and verbal, with the ability to effectively present complex technical concepts to diverse stakeholders

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish