Top San Francisco California Jobs

RETHINK MANUFACTURING  

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.  

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you. 

ABOUT THE ROLE

We are looking for an experienced, highly motivated, results-driven FP&A lead to join our team in our San Francisco office. In this role you lead our global FP&A activities, managing monthly and quarterly reporting for both OPEX and headcount, working with business leaders, and supporting decision making related to all financial aspects of our business.

Working in a small team in a fast-paced, dynamic environment, the FP&A Lead will have constant interaction with the senior members of our organization.

You will be responsible to identify and implement opportunities to resolve finance issues, improve, scale, or simplify finance tools, technology, and processes across teams and organizations

WHAT YOU WILL BE DOING

• Manage monthly and quarterly reporting for both OPEX and headcount.
• Identify and implement opportunities to resolve finance issues, improve, scale, or simplify finance tools, technology, and processes across teams and organizations
• Use solid financial knowledge and business acumen to build and maintain financial models and analyses with little guidance and draw conclusions and make recommendations that deliver results, drive improvements, and may have global impact
• Manage annual budget inputs and drivers, consolidate, and analyze data, ensure deadlines are met and assist with board, investor and management presentation and reporting.
• Ensure reporting accuracy and compliance with internal and external policies (e.g., financial, and tax-related regulations), including monitor forecast accuracy, understand drivers of variances, and provide insightful commentary & analysis for both current period and future period.
• Identify and solve complex data integrity issues and collaborate with stakeholders to manage, costs, cash burn and headcount.
• Perform ad-hoc business analyses, and financial modelling. Present recommendations to senior management on strategic decisions, and planned future initiatives
• Demonstrate appropriate understanding / working knowledge of accounting principles and internal controls

• Finance Degree or related field with 6 or more years of experience
• Strong communication and exceptional business writing with proven experience managing executive level communications
• Superior financial analysis and financial modelling skills
• Detail-oriented, well-organized
• Proven ability to develop strategic relationships with business partners
• Fluency in Microsoft Excel and PowerPoint
• Ability to work independently, readily adapt to and lead through changing environment
• Proven expertise managing, evaluating, analyzing data quickly and creating meaningful business reporting
• Tech startup or manufacturing industry experience 
• Experience using Netsuite ERP or other similar systems
• Proven ability to develop new ideas, process improvement and creative solutions
• Advanced problem solving and root cause analysis combined with proven ability to communicate those analysis
• Proven ability to meet tight deadlines and prioritize workload and work in a fast-paced environment
• Ability to work in cross-functional teams; strong customer focus - both Internal / External

BE EMPOWERED TO CHANGE AN INDUSTRY 

We’re looking for people who believe they can personally help modernize a global industry and want to work alongside passionate teammates who share their vision. As a global company working toward a common goal, we have a highly collaborative and inclusive approach to work, striking a balance between celebrating team success and focusing on individual growth.  

We exist to transform the way things are made. Join us on the journey.  

Bright Machines was named a “Technology Pioneer” by the World Economic Forum, one of “America’s Most Promising Artificial Intelligence Companies” by Forbes, and an Inc. “Best in Business” winner.  

THE CHALLENGE

Eventbrite is building the global platform for live experience and helping to build new connections between creators and their audience every day. The Eventbrite platform generates a huge amount of data about what creators should do to succeed, about how consumers really make decisions, and about what’s cool in your neighborhood. The Data Science team is charged with converting the massive potential of our data about events and customer preferences into product features that delight our customers and build a foundation of trust in our marketplace.

THE TEAM

The Data Science team partners directly with product development teams to deliver machine learning solutions directly into critical product experiences through offline and real time solutions. Our team members work hand in hand with product development teams such as Personalization, Search and Discovery, and Fraud & Risk Prevention to solve customer problems like finding their next great live experience. The six members of the data science team and their current embedded development teams are all US-based and fully remote with partnership opportunities developing with teams in Spain and India.   

THE ROLE

You will shape how Eventbrite delivers machine learning solutions that are effective, efficient, and durable. You will identify reusable patterns and technology investments that help us move faster and build for scale by setting a high bar for efficient project planning, thoughtful peer feedback, and constructive collaboration. You will be a technical mentor to the Data Science team and a primary contact on machine learning development across all of engineering. In high leverage situations, you will drive individual projects especially in our focus areas: consumer personalization and abuse detection. As part of the Data organization, you will work closely with analysts and data engineers to find the right data and stage it for action. And as a member of the Principal Engineering community, you will have a voice in the technical future of Eventbrite and ensure data science can reach its full potential. 

The Skill set:

•  8+ years of practical machine learning experience including excellent foundational knowledge and depth in at least one specialization like Natural Language Processing, Computer Vision, or similar
• Expertise operationalizing, monitoring, and scaling data processes and models in spanning realtime and offline environments 
• Comfort collaborating with both product and data engineers to deliver solutions with complex requirements
• Demonstrated ability to be a technical lead with strong communication skills and an ability to drive the company’s vision for machine learning

• Advanced knowledge of Spark, Snowpark, Python or the Sagemaker ecosystem 
• Domain expertise in recommender systems or fraud detection
• Active Eventbrite user with a passion for live events

WHAT WE OFFER

We are committed to providing competitive, valuable and meaningful benefits for our Britelings. 

We work hard to cultivate a diverse, equitable and inclusive culture where Britelings feel like they belong. 

Employees can participate in resource groups and we offer programming throughout the year to support a diverse and inclusive workplace.  Read more about our Diversity and Inclusion work for our team, culture, and community.

We offer comprehensive benefits and a wellness package above and beyond standard medical benefits to support our Britelings’ lifestyle.

Eventbrite's global benefit programs are designed to meet you where you are by offering resources and support for your health, well-being, finances, and family. This includes support in a remote/hybrid environment, wellness allowance, Carrot family planning benefit, Origin Financial Planning service, and other offerings to ease the mind and body like Modern Health and BriteBreaks (generally the first Friday of every month off).

ABOUT EVENTBRITE

Eventbrite is a global self-service ticketing, marketing, and experience technology platform that serves a consumers and event creators in nearly 180 countries. Since inception, Eventbrite has been at the center of the experience economy, transforming the way people organize and attend events. With over 280 million tickets distributed for over 5 million total events in 2022, Eventbrite is where people all over the world discover new things to do or new ways to do more of what they love. Learn more at www.eventbrite.com.

IS THIS ROLE NOT AN EXACT FIT?

Sign up to keep in touch and we’ll let you know when we have new positions on our team.

Eventbrite is committed to equality of opportunity for all staff, and applications from all suitably qualified individuals are encouraged, regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. 

#LI-REMOTE

Applicant Privacy Notice

About Augmedix:

Augmedix (Nasdaq: AUGX) delivers industry-leading, ambient medical documentation and data solutions to healthcare systems, physician practices, hospitals, and telemedicine practitioners.

Augmedix is on a mission to help clinicians and patients form a human connection at the point of care with unobtrusive technology. Augmedix’s proprietary Notebuilder Platform extracts relevant data from natural clinician-patient conversations and converts that data into medical notes in real time, which are seamlessly transferred to the EHR. The company’s platform uses automatic speech recognition, natural language processing, including large language models, and medical documentation specialists to generate accurate and timely medical notes.

Leveraging this platform, Augmedix’s products relieve clinicians of administrative burden, in turn, reducing burnout and increasing both clinician and patient satisfaction. Augmedix is also leading the revolution in transforming point-of-care information into valuable structured data that can drive lower revenue cycle management costs, higher reimbursement levels and deliver important clinical feedback to the point of care.

About the Role:

As our Channel Partnership Manager you will align with Augmedix’s core values to accelerate growth from new and existing channel partners. Reporting to the Chief Revenue Officer, you will own the company's existing partnerships with Google and others. This role is focused on identifying new channel partners where there is shared value for both parties and continuing to expand our engagement with existing partners. You'll work closely with the Chief Strategy Officer, Chief Revenue Officer, and Head of Revenue Strategy to execute on key partnership initiatives important to the next phase of our growth and evolution of our business. We are looking for someone who will ensure robust pipeline development and drive measurable channel partner growth. Being data-driven and collaborating well with external partners is important to success in this role.

Responsibilities:

• Lead and ensure performance, strategy, and alignment of Channel Partnership sales vertical
• Monitor channel  pipeline and leads, adjusting as necessary to create sustainable growth
• Collaborate with strategy and marketing on channel partner strategy including  messaging, pricing, and sales models to achieve revenue goals
• Enable sales team to effectively work channel pipeline opportunities
• Stay well-connected with partners contacts to ensure their needs are being met and expand the depth of our engagement

• A minimum of 4 years experience in a similar role and/or in a sales role
• Experience in building deep customer relationships & ensuring partner needs are met
• Track record of hitting and exceeding targets
• A capable hunter, build relationships from scratch and turn them into new channel partners
• Deep experience with the healthcare industry including care delivery & revenue cycle
• Experience selling technology solutions & work with partners or clients to find creative business solutions
• Aptitude for understanding how technology products and solutions solve business problems
• Strong communication, collaboration, negotiation, and executive presentation skills and ability to provide insight and thought leadership to peers and senior leadership

Augmedix is an equal opportunity employer. We are committed to providing equal employment opportunities regardless of sex, gender identity, race, religious creed, color, ancestry, age, disability, marital status, sexual orientation including being transgender and/or any other protected bases.

Transcend believes everyone should be in control of their personal information. We’re pioneering Data Privacy Infrastructure—a powerful technology that lets individuals reclaim control of their data and ensures companies can easily comply with global data privacy laws.

Our platform enables companies like Robinhood, Brex, and Clubhouse to provide users with control over their information.

From uncovering new data systems and schema, to capturing and enforcing user opt-outs, to globally deleting and exporting a person's data across your stack, Transcend is built to scale every privacy workflow to complete automation. In fact, each month, Transcend executes millions of global user deletions and governs billions of tracking events across thousands of data systems.

We allow these users to request, identify, and delete their personal information from a growing suite of integrated companies: from Salesforce to Slack, Facebook, Zendesk, Intercom, Databases, and beyond.

Please note that we are a remote-first company, and ALL our positions are remote.

This position is for US only.

———

As an Software Engineer in the AI Team, you will be responsible for developing and improving our AI-related products. You will work on projects that interact with large language models, and machine learning models.

What You'll Do

• Collaborate with the product team to develop and implement tools that interact with Large Language Models.
• Develop and maintain a scalable and reliable infrastructure for the newly developed projects that will interact with large language models.
• Work on prototyping and updating the product based on feedback from customers and internal stakeholders.
• Proactively fix production and development issues.
• Optimize our deployment pipeline and our testing strategy.
• Work on improving the performance of existing products.

• You have around 3 or more years of experience in software development.
• You know how to ship production-ready code and develop rapid prototypes. You should know what tests to write, what to log, what metrics to capture, what alerts to set up.
• You're effective at tackling large, somewhat open-ended problems. We're a small team, and not every problem will have a fully spec-ed out solution for you to implement. Spec-gathering, writing design docs, validating potential solutions with teammates, and decomposing work are all part of the job.
• You’re able to identify trade-offs and take them into consideration when making decisions (e.g, speediness vs tech debt vs cutting scope). You can articulate which factors have higher priority depending on the context.
• You are effective at async and online methods of communication. Our team is entirely distributed, so the ability to clearly and thoughtfully communicate despite the space and time barriers is very important.
• You have experience with unit testing and integration testing. We use mocha for unit testing and a mix of Cypress and playwright for E2E testing.
• You know when to ask for help. We want you to succeed, but you have to let us know how to best do that! We don't want you to be stuck debugging something for hours, especially if it's something very particular to our codebase. If something is unclear, make sure to ask your mentor or manager for clarification!
• You have experience with client-side and backend JavaScript as well as typed languages (ideally TypeScript).

• Amazon Web Services (e.g. Lambda, DynamoDB)
• RDBMS (PostgreSQL)
• Sequelize knowledge
• GraphQL
• Experience with python
• Experience with productionizing ML models or experience working with LLMs

Why joins us?

The people at Transcend are driven, kind and know how to balance work, life and memes. We learn from each other and have a strong support system. 

You’re joining a fast growing start up, with opportunities to help define and grow the engineering team.

We have a strong mission to protect user privacy rights everywhere. The privacy compliance landscape is growing, and we are at the forefront of building solutions that protect user privacy rights with modern infrastructure and automation.

You will have autonomy and trust to drive initiatives from the start.

We believe that turning the principles of data privacy into exercisable human rights is one of the most high-impact ways we can spend our time, and so we're building an ambitious team that’s passionate about solving important problems and having fun while doing it.

As the best-in-class solution in a new market, Transcend is a fast-paced and exciting workplace. The product evolves quickly to meet new client needs and adapts to the rapidly advancing world of privacy law. As one of Transcend’s earliest hires, you’ll get to work on a wide array of exciting projects.

Transcend is an equal opportunity employer that values diversity, inclusion and belonging. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We will consider for employment all qualified applicants with arrest and conviction records in a manner consistent with applicable law.

About Rime 

Rime is a speech technology startup based in San Francisco, CA, founded by linguists and engineers. We work on deep learning speech and language technologies that power incredibly engaging customer experiences. The next wave of ML technologies is here, and Rime is harnessing these advancements to deliver something truly unique: real-time speech synthesis that is natural, lifelike, and infinitely customizable. Rime turns previously boring conversational AI applications into the most compelling experiences possible. Join us and pioneer these changes.

Responsibilities

• Train speech synthesis networks and evaluate their quality and performance.
• Evaluate and diagnose training procedure of both autoregressive and non-autoregressive speech synthesis models. Evaluate and make architectural decisions driven by product requirements.
• Own both research-driven experiment pipelines as well as in-production model quality and capabilities.
• Be involved with ingestion, preprocess, and cleaning of speech data, ensuring its quality, relevance, and adequacy for training and testing purposes.
• Continuously research and experiment with new approaches, methodologies, and algorithms in speech data processing and analysis, staying up-to-date with the latest advancements in the field.

• Bachelor's or higher degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).
• 5+ Years Experience as a Machine Learning Engineer, Data Scientist, or a similar role with a focus on implementing and training deep neural networks.
• Strong programming skills, with proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with speech data, including audio preprocessing, feature extraction, and signal processing techniques.
• Passion for startups and the ability to thrive in a fast-paced, dynamic environment.

• On-the-ground experience with speech synthesis technologies including training of SOTA architectures (both two-stage and end-to-end/).
• Familiarity with large-scale distributed computing frameworks and cloud-based ML platforms (e.g., AWS SageMaker, Google Cloud AI Platform).
• Knowledge of speech data annotation tools and techniques for training machine learning models.
• Knowledge of general natural language processing techniques and tools.

Additional details:

Hybrid: home/from our office in San Francisco (SOMA neighborhood)

Full medical, dental, vision insurance

Competitive salary

Generous equity package

Monthly health & wellness stipend

Access to a recording studio and audiophile-grade equipment

About Us

At AptEdge, we're on a mission to revolutionize customer service through the power of natural language processing and AI. Our ChatGPT enabled "Answer Engine" is designed to assist customer care representatives in quickly and accurately answering customer questions, reducing customer escalation and churn.

Unlike traditional search engines, our "Answer Engine" uses natural language processing to provide contextually relevant and accurate answers to customer inquiries. We've seen firsthand the impact this technology can have on businesses, improving customer service and retention.

Our team is built of technology leaders with decades of experience solving the most pressing problems facing enterprises at companies like AppDynamics, Salesforce, Okta, Splunk, etc. We are backed by some of the best investors in Silicon Valley, including Unusual Ventures, National Grid Ventures, Counterpart Ventures, and various Angels and operators at top firms. We have many great customers and are growing quickly. We work with a sense of autonomy, empathy, and encourage experimentation with new ideas.

We work with a sense of autonomy, empathy, and encourage experimentation with new ideas. We prefer clear, direct communication to be respectful of everyone’s time.

About the Role

We’re looking for a Senior ML Engineer. You’ll have exciting opportunities to fundamentally impact the product and the business.

About You

• Must Have experience with applied Machine Learning / NLP
• You have at least a BS/BA in Computer Science or equivalent practical experience.
• Proficiency in backend languages and frameworks such as Python, Java / C / C++, Go
• 4+ years of experience developing highly performant and scalable code
• You have experience developing technologies and services that scale to handle millions of requests, and extract insights from massive data.
• You have experience in scalable ML/NLP models and frameworks scikit-learn, tensorflow, nltk, etc.

• Develop the AptEdge Backend with an emphasis on search components
• Build robust data and ML pipelines for various models like Recommendation Engine, Content Classification, Content Categorization and related problems
• Monitor the ML Pipelines to detect the data & model drift
• Be involved in technology research, capability building across newer technologies and tools in Machine Learning / Deep Learning/ Artificial Intelligence and Advanced Analytics ecosystem at scale.
• Cross-functional team collaboration
• Engage with customers for user interviews

• Artificial Intelligence and related technologies
• Developing scalable platforms with relational databases like Postgres, configuration/synchronization services, and advanced cache stores like Redis.
• Kubernetes. Deployment experience in K8s a big plus
• Cloud ML capable engines like Airflow or MLflow/Kubeflow is a plus
• Working with GCP
• Good understanding of how highly secure, distributed, resilient software works
• Shipping multi-tenant platforms for both SaaS and on-premise deployments

You are a great fit because you are:

● A solid problem solver

● Interested in joining an early stage startup

● Pragmatic and methodical

● A clear communicator and collaborator

● A great teammate

● Favor execution over planning

Perks

Include:

- Medical, Dental, Vision

- 401k

- Remote work

- Commuter perks

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As a Solutions Architect for our rapidly expanding AI products and services, you will guide our customers and partners to achieve tangible data-driven outcomes through our innovative products, helping customer teams to integrate our services into their ecosystem. You will work closely with our sales and product teams, acting as a technical advisor and a customer advocate.

In your role as a Solutions Architect, you will be an AI & LLM expert, leading clients through the adoption of our technologies, including hands-on building of technologies. As a Solution Architect, you'll manage all technical aspects of technical demos, POC’s and MVP’s, developing new solutions based on our AI product and services portfolio.

Qualifications

• Degree in Computer Science, Information Systems, Engineering, or equivalent experience
• 5+ years of experience working with enterprise customers, providing engineering, infrastructure, and technical guidance
• 5+ years in a technical role delivering projects in Data Science/Machine Learning, with a preference for LLM technology.
• Strong interest in Generative AI and LLM products
• Coding experience (Python, R, Java, Spark, Scala or SQL)
• Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Hadoop, Spark, on-premise, and cloud)
• Knowledge of machine learning libraries and techniques
• Experience in pre-sales or post-sales role with external clients across various industry markets
• Excellent writing and communication skills, with the ability to demonstrate technical concepts and present to a wide range of audiences
• Comfort in designing and implementing architectures within a public cloud (AWS, Azure or GCP)
• Exposure to big data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Willingness to travel

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

At Weights & Biases, our mission is to build the best developer tools for machine learning. We're hiring a Machine Learning Engineer - Customer Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. 

In this role, you'll be working with the most sophisticated ML teams in the world working on some of the toughest ML problems in computer vision, robotics, natural language processing, and more. Your responsibility will be to make their work easier with our tools. You'll have the opportunity to work with ML teams across multiple industries to uncover their ML needs, improve their ML workflow, explore how W&B fits into their environment, collaborate on projects, and educate them on the best practices of our product.

Machine Learning Engineers on our customer success teams are critical to the success of our customers at Weights & Biases. You'll partner with Customer Success, Support, Product and Engineering teams to own the technical onboarding and success of our customers, serving as the primary knowledge owner and face to our customers. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' machine learning workflows.

Weights & Biases is a series C company with over $200 million in funding. Our core users and enterprise customers are growing rapidly and we're facing exciting challenges ahead to keep up with growing demand and to create a platform that is essential to machine learning developers. Our customers range from small startups to enterprise companies including OpenAI, Insitro, Pandora, Toyota Research Institute, Lyft, Blue Cross Blue Shield and Qualcomm.

This is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world.

Responsibilities

• Be an expert in implementing effective, robust, and reproducible machine learning pipelines for engineering teams using Weights & Biases tools
• Effectively articulate best practices for instrumenting machine learning pipelines to our customers as a trusted advisor
• Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of W&B in solving their problem
• Provide customer training sessions, product demos, and workshops covering best practices & different solutions W&B offers to drive adoption
• Partner with Customer Success Managers to create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)
• Collaborate closely with Support, Product and Engineering teams to influence product roadmap based on customer feedback

• 2-3 years of relevant experience in a similar role
• Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning
• Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful
• Excellent communication and presentation skills, both written and verbal
• Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment
• Ability to break down complex problems and resolve them through customer consultation and execution.
• Experience with cloud platforms (AWS, GCP, Azure)
• Experience with Linux/Unix

• Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray
• Experience with hyperparameter optimization solutions
• Experience with data engineering, MLOps and tools such as Docker and Kubernetes
• Experience with data pipeline tools
• Experience as an ML educator and/or building and executing customer training sessions, product demos and/or workshops at a SaaS company

• Passion for machine learning: You understand how exciting the ML space is and how quickly it's growing. You're excited to speak with industry leaders at the forefront of ML research and development
• Outgoing and friendly: You'll love this role if you enjoy connecting with real users every day, helping them adopt the Weights & Biases platform, and answering all of their questions
• Technically Savvy: You enjoy instrumenting models in PyTorch, Keras, and TensorFlow and understand complicated workflows
• Autonomous and adaptable: You understand different companies have different workflows, and you're excited to solve these challenges
• Curious and Driven: You want to understand future customers' ML workflow and prove how Weights & Biases will improve their day-to-day

• 🏝️ Flexible time off
• 🩺 Medical, Dental, and Vision for employees and Family Coverage
• 🏠 Remote first culture with in-office flexibility in San Francisco
• 💵 Home office budget with a new high-powered laptop
• 🥇 Truly competitive salary and equity
• 🚼 12 weeks of Parental leave (U.S. specific)
• 📈 401(k) (U.S. specific)
• Supplemental benefits may be available depending on your location
• Explore benefits by country

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote

About us

Grid is a venture-backed technology startup democratizing financial services for hard-working Americans. We're starting by giving back the money you overpay in taxes today, not next year. Use that extra cash to save for a home upgrade, make the holidays a little brighter, or just give yourself a treat. Grid has already helped thousands of people get a little closer to their dreams. And we're just getting started.

The role

We are looking for a highly-motivated and curious Data Scientist to help solve critical business problems at Grid.  In this role, you will use analytical, statistical, and programming skills to collect and interpret large datasets and develop and deploy data-driven business solutions.  Specifically, you will be responsible for identifying and preventing fraudulent behavior across our suite of FinTech products, and working closely with Product, Engineering, and Risk to build and implement fraud prevention strategies.

What you will be doing

• Quantify, generalize and monitor risk-related business and operational metrics
• Autonomous end-to-end statistical model creation, including but not limited to identifying objectives, compiling data, sampling/prepping data, feature selection, model comparison/selection, deployment, and monitoring
• Partner with cross-functional stakeholders to enhance model implementation processes and translate requirements into integrated forecasting process/tools for effective consumption
• Build and maintain fraud features, rules, and models in response to evolving fraud behaviors
• Define risk control measurements
• Present findings to Leadership and make recommendations to strengthen business risk decisions

• BA degree in Analytics, Statistics, Mathematics, or a related quantitative field
• 3+ years of professional experience in a data science or data engineering role or a PhD in a relevant field
• Knowledge and experience in modeling techniques and advanced applied skills (e.g. logistic regression, multivariate regression, Random Forest, Boosting, Trees, text analysis, etc.) as
• Fluency in the data science tech stack, including Python (pandas, numpy, scipy, matplotlib, scikit-learn) for data science/machine learning, analytics/visualization/BI tools, and SQL
• Experience with data engineering concepts, ETL pipelines, and working with the Google Cloud Platform
• Outstanding quantitative modeling and statistical analysis skills

• Advanced degree in any field relevant to Data Science
• Previous experience in FinTech and/or fraud and risk analysis.

About Shasqi

Shasqi is a digital first, clinical stage, biotech company, with an office in San Francisco. Our mission is to revolutionize cancer treatment with click chemistry, a 2022 Nobel Prize winning technology. Our unique CAPAC® (Click Activated Protodrugs Against Cancer) platform uses click chemistry to target high doses of cancer drugs directly to the site of the tumor while minimizing toxicity to healthy cells, potentially improving the therapeutic index. 

Over the past decade, antibody-drug conjugates (ADCs) have transformed tumor-targeted drug delivery. CAPAC® builds on this foundation, changing what’s possible with an approach that expands on the advances achieved by ADCs. Shasqi has developed an expansive and diverse library of antigen targeting agents and cancer therapeutic payloads. These are decoupled from each other and reunited at the site of the tumor via a click chemistry reaction. We are the first company to use click chemistry in humans. 

Shasqi Core Values:

1) Resourcefulness We are a small team, accomplishing something complex. We value efficiency, being concise, accurate, specific, over-communicate.

2) Simplicity in focus We can explore a million things but it’s valuable to focus on what you want to pursue.

3) Challenge Standards Find a balance between pushing limits and respecting the process.

4) Collaboration Maintain a collaborative environment with respectful communication.

5) Humble Confidence Be humble in both your success and your failures.

This role entails being a senior lab manager and a research scientist. The ideal candidate will have an opportunity to grow as a researcher within the biotechnology environment, to develop strong organizational skills that will be transferable to many different roles in the future, and to gain exposure to different areas of expertise in drug development. 

This opportunity is based in San Francisco, CA and person must be onsite 5 days a week. 

Responsibilities

• Engage in operational tasks to ensure the laboratory is running smoothly and to work at the lab bench to support in vitro research activities.  
• Keep the lab in excellent order including being highly organized with physical supplies and data, sharing timely communications with R&D or other stakeholders, and managing lab instrument operation and maintenance. 
• Lead inventory management including shipping and receiving materials to/from multiple vendors along with real-time tracking per quality control guidelines, effectively communicate tracking information to R&D or other stakeholders. 
• Make budgetary-prudent decisions in providing the appropriate supply options to the hiring manager. 
• Write experimental protocols and standard operating procedures (SOPs), as applicable. 
• Responsible for training all new staff on lab procedures, proper instrument use and best practices. 
• Maintain aseptic practices, manage mammalian cell cultures and run multiple basic cell-based or biochemical assays.  
• Design and execute experiments independently with clear objectives that address key questions for the overall project.  
• Perform data analysis with excellent attention to detail and develop presentations/reports to share with R&D or other stakeholders  
• Maintain collegiate relationships with vendors, CROs and personnel from other companies sharing the laboratory space. 
• Stay up to date with relevant technologies and be proactive about instituting improvements in the overall process of the project and/or lab. 

• BS/MS or equivalent in cell biology, biochemistry, or related fields.  
• 4+ (BS) / 2+ (MS) years of relevant work experience, preferably in the biopharmaceutical drug development setting 
• 2+ years of experience as a lab manager with demonstrable organizational skills and attention to details. 
• Experience reaching out and working with vendors and CROs. 
• Expertise in aseptic techniques including all aspects of culturing and passaging mammalian cells.  
• Skill set in running cell-based or biochemical assays or any relevant techniques that are transferable. 
• Strong understanding of cell biology, processes and mechanisms, and experimental procedures. 
• Demonstrable skills in designing, executing, analyzing and reporting results. 
• Highly organized and independently motivated with minimal supervision.  
• Strong analytical and communication skills, especially for report writing. 
• Proficient at spreadsheet/database, data analysis, presentation, and documentation software. 
• Be a team player and possess humility, passion, resourcefulness, independence, and good disposition. 

• Experience working in cancer, tumor biology, and immunology related fields. 
• Familiarity with scientific data analysis software such as GraphPad/Prism and FlowJo   
• Experience drafting, writing, editing and preparing scientific publications, abstracts/posters, and management-level presentations/decks. 

Benefits

Compensation and title will be commensurate with experience and responsibilities of the candidate. For a full list of employee benefits, please see Shasqi's website

We do not accept solicitations by recruiters, recruiting agencies, headhunters and outsourcing organizations.