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System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Principal Machine Learning Scientist supporting the AI Automation & Optimization team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience designing and building algorithms to automate and optimize planning and decisioning for complex dynamic systems with imperfect information.  You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk. 

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have:

• Provide both hands-on/individual contributor support and technical thought leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
• Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities
• Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
• Maintain expert knowledge in computer science, machine (and deep) learning, data mining, reinforcement learning, large-scale robust optimization techniques and more
• Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
• Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
• Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
• Coach and mentor data scientists to elevate the talent bar across System1 

• Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
• 5+ years of experience researching & developing algorithms for intelligent automation and optimization systems
• Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques
• Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
• Hands-on experience building ML driven products
• Experience leading technical research and production grade development efforts
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) 
• Strong functional programming development skills (preferred)
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Experience mentoring and coaching junior team members

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Hybrid
• #BI-Remote
• #LI-Remote
• #LI-AW1

The U.S. base salary range for this full-time position is $164,500  -  $292,000  + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.

A World-Changing Company

Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.

The Role

Our Machine Learning team develops novel deep learning models to address immediate customer needs and to ensure Palantir’s platforms offer unparalleled machine learning capabilities.

We are looking for someone that is passionate about natural language processing (NLP) and Large Language Models (LLM), likes to push the boundaries of what is possible, and wants to solve hard problems on top of unique datasets. As a Machine Learning Researcher, you will be responsible for implementing, customizing, and inventing NLP/LLM deep learning techniques for some of the most unique datasets. This role will implement novel deep learning architectures to enable end-to-end solutions in the areas of information retrieval (IR), question answering, document summarization, entity, event and relationship extraction and classification, as well as structured text extraction from documents.

Core Responsibilities

• Read, present, and implement research papers on NLP/LLM with an emphasis on the broader area of named entity recognition, information retrieval, structured text extraction from documents, question answering, and document summarization
• Modify and/or invent novel techniques in entity, event and relationship extraction and classification, summarization, question answering, and structured text extraction from documents
• Work closely with engineering teams to push innovative deep learning models to production
• Propose and implement new ideas/directions in NLP/LLM that can effectively solve customer problems

• Python
• PyTorch
• Hugging Face
• DeepSpeed
• Docker

• Background in NLP/LLM and Deep learning
• Proficiency with any of the major Deep Learning frameworks
• Excellent communication and collaboration skills

• MS or PhD in Computer Science or related fields
• Experience with the latest LLMs such as LLama, OPT, Alpaca, Dolly, Pythia, GPT-NeoX, FLAN, etc.
• Experience with causal/masked language modeling, prompt tuning and engineering, instruction tuning, and/or RLHF
• Experience with implementing or fine-tuning deep learning models in the area of NER, summarization, question answering, IR and structured text extraction from documents

• Employees (and their families) are eligible to enroll in: medical, dental, and vision insurance, life and disability coverage
• Paid leave for new parents and emergency back-up care for all parents
• Family planning support, including fertility, adoption, and surrogacy assistance
• Stipend to help with expenses that come with a new child
• Commuter benefits
• Relocation assistance
• Unlimited paid time off
• 2 weeks paid time off built into the end of each year
• 12 paid holidays throughout the calendar year
• Generous unlimited sick leave policy
• Employees are able to enroll in our company’s 401k plan

Salary

The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. 

Life at Palantir

We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.

In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the positing is specified as Onsite, you are required to work from an office.

Palantir is committed to promoting a culture of diversity, equity, and inclusion and is proud to be an Equal Employment Opportunity and Affirmative Action employer. We believe that all Palantirians share the responsibility of upholding our commitment to these values and encourage candidates from a wide range of backgrounds, perspectives, and lived experiences to join us in solving the world’s hardest problems. Palantir does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Palantir is committed to working with and providing reasonable accommodations to qualified individuals with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster, EEO poster supplement and Pay Transparency Notice for additional information.

Palantir is committed to making the job application process accessible to everyone. If you are living with a disability (visible or not visible) and need to request a reasonable accommodation for any part of the application or hiring process, please reach out and let us know how we can help.

A World-Changing Company

Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.

The Role

Our Machine Learning team develops state of the art deep learning models to address immediate customer needs and to ensure Palantir’s platforms offer unparalleled machine learning capabilities.

We are looking for someone that is passionate about ML systems of natural language processing (NLP) and deep learning to lead the design and implementation of ML infrastructure to train and serve deep learning models. In this role, you will build innovative NLP products that facilitate an enhanced user experience in operational workflows. You will work with ML researchers on the latest deep learning models to build solutions in areas of information retrieval (IR), question answering, document summarization, entity, event and relationship extraction and classification, as well as structured text extraction from documents.

Core Responsibilities

• Architect performant, efficient, secure and scalable systems to tune, serve and evaluate large language models
• Drive implementation, testing, releases and monitoring for data processing pipelines and ML products
• Work closely with machine learning researchers to align model development with business needs and technical landscape, support development and deployment of models
• Partner with internal infrastructure teams to integrate deep learning models with existing tools and systems
• Stay up to date with the latest advances in ML infrastructure and MLOps to develop and maintain efficient systems

• Programming languages: Python / Java
• Deep learning frameworks: PyTorch / Hugging Face / DeepSpeed
• Inference engine: ONNX / TensorRT
• Web-service protocols: RESTful / gRPC
• Cloud-based technologies: Docker / Kubernetes

• Background in natural language processing and deep learning, experience with large language models
• Proficiency with any of the major deep learning frameworks
• Experience designing and implementing ML infrastructure to train and deploy large language models
• Experience with cloud-based platforms and tools
• Excellent communication and problem solving skills, ability to work independently and as part of a team

• At least two years of experience in backend development with an emphasis on deploying deep learning models in production
• MS in Computer Science or related fields

• Employees (and their families) are eligible to enroll in: medical, dental, and vision insurance, life and disability coverage
• Paid leave for new parents and emergency back-up care for all parents
• Family planning support, including fertility, adoption, and surrogacy assistance
• Stipend to help with expenses that come with a new child
• Commuter benefits
• Relocation assistance
• Unlimited paid time off
• 2 weeks paid time off built into the end of each year
• 12 paid holidays throughout the calendar year
• Generous unlimited sick leave policy
• Employees are able to enroll in our company’s 401k plan

Salary

The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives.

Life at Palantir

We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.

In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the positing is specified as Onsite, you are required to work from an office.

Palantir is committed to promoting a culture of diversity, equity, and inclusion and is proud to be an Equal Employment Opportunity and Affirmative Action employer. We believe that all Palantirians share the responsibility of upholding our commitment to these values and encourage candidates from a wide range of backgrounds, perspectives, and lived experiences to join us in solving the world’s hardest problems. Palantir does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Palantir is committed to working with and providing reasonable accommodations to qualified individuals with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster, EEO poster supplement and Pay Transparency Notice for additional information.

Palantir is committed to making the job application process accessible to everyone. If you are living with a disability (visible or not visible) and need to request a reasonable accommodation for any part of the application or hiring process, please reach out and let us know how we can help.

About System1:

System1 is a leading online customer acquisition marketing company that operates the largest Responsive Acquisition Marketing Platform (RAMP) allowing leading digital publishers and networks a single platform to monetize customers in an increasingly complex ecosystem. We are led by passionate entrepreneurs & industry veterans who have built and managed multiple billion-dollar companies. Our growing team of over 300 people is an incredible group of engineers, product managers, data scientists, & buy and sell-side experts.

System1 is looking for a senior product manager to join our Data Science team. You will drive product direction for a talented team focused on building models that power our large scale marketing platform. System1 products touch 100s of millions of users per month and our platform processes 5B+ data points every day.

The ideal candidate will have a background in managing technical data science & analytics projects, balancing stakeholder requests, working cross-functionally with engineering and operations teams and writing detailed functional specifications.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

What You Can Expect:

• Define detailed product specifications pertaining to our data science & analytics  efforts
• Identify, prioritize & evangelize the areas that can get the biggest impact from using data science techniques
• Create a prioritized roadmap of Data Science projects, and define measurable success criteria for them
• Be a thought partner for counterparts in Product, Engineering & Operations to recommend technical solutions, and influence the roadmap
• Productize the ML platform and ensure it’s performance & quality is measurable using business metrics
• Own the definition, tracking, and reporting on KPIs for all data science products

• 5+ years of product management experience in integrating and managing data science products, and data analytics
• Proficient in scripting languages (Python/R)Advanced SQL skills
• Experience with NLP pipelines
• Experience with experimentation (A/B testing, RDD, diff-in-diff experiments)
• Knowledge of with data visualization techniques
• Engineering or computer science education and/or relevant technical background
• Excellent written, verbal, and leadership skills
• ETL experience is a plus

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events
• #LI-MD1
• #BI-Remote
• #LI-Remote
• #BI-Hybrid
• #LI-Remote

The US base salary range for this full-time position is $150,900 - $209,500 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.

We are seeking a highly skilled and experienced Lead Data Scientist to join our growing Data Analytics team. This person must have a strong background in data analysis and be able to effectively communicate complex analytical findings to both technical and non-technical audiences, focusing on our highly profitable Search Engine Monetization business. This role requires a strong background in exploratory data analytics, statistics, data modeling as well as excellent communication and leadership skills.

The Role You Will Have

• Serve as a subject matter expert to both the Analytics team and business leaders, providing sound & data-driven strategies that help meet or exceed business goals 
• Develop and create  models in production (classification, clustering, learning models, multivariate  regression, time series, k-means, etc.)  to identify the best business solution
• Use Python and packages like Pandas, NumPy, etc., to perform complex statistical analysis on results, and utilize APIs for data ingestion 
• Use SQL to self-serve data from disparate sources & manipulate multiple large data sets simultaneously for analysis 
• Perform complex exploratory analysis on historical search engine marketing campaign data  -  including keyword performance, ad spend, and conversions - and identify opportunities for new expansion  & data acquisition
• Collaborate with teams in Taxonomy & Performance Marketing to proactively identify keyword trends & develop data-driven optimization strategies
• Use tools like Tableau, Looker, or PowerBI to visualize results and present directly to business leaders
• Provide mentorship & training to junior analysts and new hires, and evangelize ways to implement better data-driven practices throughout the organization
• Stay up-to-date with industry trends and best practices in search engine marketing and data analysis

• Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics,  Data Science)
• 7+ years of progressive experience in data analysis/data science and handling of large data sets 
• Strong experience with mathematical optimization methods, exploratory data analysis,  predictive modeling and machine learning techniques
• Advanced proficiency in SQL 
• Strong proficiency in Python & its data science packages (Pandas, NumPy, MatPlotLib, Seaborn, etc.)
• Familiarity with digital marketing KPIs including CPA, CPC, CPM and ROAS

• Experience with big data technologies (e.g. AWS, Snowflake, Hadoop, Spark, BigQuery)
• Experience with data visualization tools (e.g. Tableau, Power BI), as well as surfacing insights with interactive notebooks (e.g Jupyter, Google Colab)
• Familiarity with pulling data from third party API’s and basic ETL processing
• Excellent communication, and experience in providing leadership within your team (code-review or pair-programming, interviewing & onboarding new hires, etc.)

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Hybrid
• #BI-Remote
• #LI-Remote
• #LI-Hybrid

Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

About the Team  

The mission of the Data Science team is to enable continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. On the Process Intelligence squad, our key goal is to transform how sales reps operate by enabling a personalized guided selling process. One example is predicting the likelihood of a deal to win, so sales reps can shift their focus strategically toward deals that need attention. In addition to just producing a score as our prediction, we put emphasis on analyzing which factors during the sales process contributed more to the prediction. This allows us to give recommendations to the sales rep on what to do next. 

The Role

As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering on this mission. You would be responsible for Designing, implementing, and improving machine learning algorithms. You would work closely with product managers, designers, and customers to define the vision and strategy for a given product. Also, you would be expected to contribute to machine learning applications end to end, i.e from research to prototype to production!

What we are looking for:

• A hybrid data scientist/engineer who can navigate both sides with little help from others

• You have experience working with distributed data processing frameworks such as Spark.

• Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plusYou have strong programming skills in at least one object-oriented programming language (Java, Scala, C++, Python, Golang, etc.)

• You understand the typical lifecycle of machine learning product development, from inception to production.

• You have experience with deploying and running ML models in real products

• You are pragmatic, not stubborn with your solutions, and have the mindset of “get the job done”.

• You are hands on, able to quickly pick up new tools and languages, and excited about building things and experimenting. 

• You go above and beyond to help your team

• You are honest, admit mistakes, and own fixing them

• You are a motivated and talented craftsperson: always looking to sharpen and adapt your skills

• You have a degree in Computer Science, Data Science, or a related field (preferably an MS or PhD), and 2+ years of industry or equivalent experience

Location: Seattle, WA (hybrid)

Your Daily Adventures Will Include

• Playing a key role in designing, developing, and releasing machine learning and recommendation applications.
• Working with internal and external customers to understand their pain points and brainstorm solutions.
• Ensuring the data that feed into our machine learning models are reliable, accurate and punctual.
• Working alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products.

The base salary range for this role is $150,000-$190,000. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.

Why You’ll Love It Here

• Generous medical, dental, and vision coverage for full-time employees and their dependents

• Flexible time off

• 401k to help you save for the future

• Company-organized and personal paid volunteer days to support the community that supports us

• Fun company and team outings (or virtual events these days!) because we play just as hard as we work

• Diversity and inclusion programs that promote employee resource groups like OWN (Outreach Women's Network), AAPI, Rainbow  (LGBTQIA+), Gender+,  LatinX, Black Excellence, Disability Community, and Veterans

• A parental leave program that includes not just extended time off but options for a paid night nurse, gradual return to work, and the Gottman Institute's Bringing Home Baby course for new parents

• Employee referral bonuses to encourage the addition of great new people to the team

• Plus, unlimited snacks and beverages in our kitchen

• We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status

System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the Search & Recommendations team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have:

• Hands-on development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
• Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
• Research the latest in machine learning for emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
• Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
• Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
• Contribute to the development of System1’s roadmap for core machine learning capabilities

• Bachelor's degree (Master's or PhD preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
• 2+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
• Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
• Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
• Hands-on experience building ML driven products
• Experience leading technical research and production grade development efforts/teams
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) 
• Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc) 
• Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
• Strong functional programming development skills (preferred)
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Hybrid
• #LI-Remote
• #LI-AW1

The U.S. base salary range for this full-time position is $138,000 - $222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.

System1 is looking for an experienced data science leader to join our team as the Director of Machine Learning Science for AI Automation & Optimization.  In this role, you will be responsible for leading a talented team of machine learning scientists focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning algorithms to automate and optimize planning and decisioning for extremely complex dynamic systems with imperfect information.  You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and intuitively understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have:

• Lead a team focused on developing an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
• Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions making decisions that impact millions of dollars of ad spend and revenue per day
• Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
• Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
• Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
• Coach and mentor data scientists to elevate the talent bar across System1

• Bachelor's degree (Master's or PhD preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
• 5+ years of experience researching & developing algorithms for intelligent automation and optimization systems
• Previous experience leading a highly technical machine learning / data science team
• Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning, stochastic optimization, and deep learning techniques
• Hands-on experience building ML driven products
• Experience leading technical research and production grade development efforts/teams
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) 
• Solid software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc) (preferred)
• Strong functional programming development skills (preferred)
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Experience mentoring and coaching junior team members

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Remote
• #LI-Remote
• #BI-Hybrid
• #LI-Hybrid

The U.S. base salary range for this full-time position is $213,000 - $352,900 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.

System1 is looking for an experienced machine learning researcher and practitioner to join our data science and machine learning team as a Principal Machine Learning Scientist supporting the Search & Recommendations team.  This is a senior individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have:

• Provide both hands-on/individual contributor support and technical thought leadership in the development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
• Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
• Maintain expert knowledge in the latest in machine learning with an emphasis on emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
• Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
• Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
• Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
• Coach and mentor data scientists to elevate the talent bar across System1

• Bachelor's degree (Master's or PhD preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
• 5+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
• Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
• Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
• Hands-on experience building ML driven products
• Experience leading technical research and production grade development efforts/teams
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) 
• Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc) 
• Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
• Strong functional programming development skills (preferred)
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Experience mentoring and coaching junior team members

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Hybrid
• #LI-Remote
• #LI-AW1

The U.S. base salary range for this full-time position is $164,500 - $292,200  + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.