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Currently hiring for 12 jobs
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Senior Machine Learning Scientist - Search & Recommendations
System1
Los Angeles, CA
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

What You Will Bring:

    • 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

What We Have to Offer:

    • 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.
Full-time
Senior
Logo
Principal Machine Learning Scientist - AI Automation & Optimization
System1
Seattle, WA
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 

What You Will Bring:

    • 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

What We Have to Offer:

    • 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.
Full-time
Senior
Reinforcement Learning
Logo
Principal Machine Learning Scientist - Search & Recommendations
System1
Los Angeles, CA
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

What You Will Bring:

    • 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

What We Have to Offer

    • 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.

Full-time
Senior
Deep Learning
Logo
Senior Machine Learning Scientist - Search & Recommendations
System1
Seattle, WA
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

What You Will Bring:

    • 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

What We Have to Offer:

    • 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.
Full-time
Senior
Logo
Principal Machine Learning Scientist - Search & Recommendations
System1
Seattle, WA
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

What You Will Bring:

    • 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

What We Have to Offer:

    • 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.



Full-time
Senior
Logo
Principal Machine Learning Scientist - AI Automation & Optimization
System1
Los Angeles, CA
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 

What You Will Bring:

    • 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

What We Have to Offer:

    • 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 US 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.


Full-time
Senior
Reinforcement Learning
Logo
Director of Machine Learning Science - AI Automation & Optimization
System1
Los Angeles, CA
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

What You Will Bring:

    • 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

What We Have to Offer:

    • 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
    • #BI-Hybrid
    • #LI-Remote
    • #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.

Full-time
Senior
Reinforcement Learning
Logo
Director of Machine Learning Science - AI Automation & Optimization
System1
Seattle, WA
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

What You Will Bring:

    • 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

What We Have to Offer:

    • 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.

Full-time
Senior
Reinforcement Learning
Logo
Lead Data Scientist
System1
Remote
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

What You Bring to the Team

    • 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.)

What We Have to Offer

    • 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
Full-time
Senior
Logo
Lead Data Scientist
System1
Seattle, WA
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

What You Bring to the Team

    • 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.)

What We Have to Offer

    • 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
Full-time
Senior
Logo
Lead Data Scientist
System1
Guelph, CAN
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

What You Bring to the Team

    • 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.)

What We Have to Offer

    • Competitive salary + bonus + equity
    • Generous PTO + 11 company holidays
    • Open sick time
    • Medical, Dental & Vision 
    • RRSP w/matching
    • Paid professional development
    • Leadership & growth opportunities
    • Virtual company and team building events 
    • #BI-Hybrid
    • #BI-Remote
    • #LI-Remote
    • #LI-Hybrid
Full-time
Senior
Logo
Lead Data Scientist
System1
Los Angeles, CA
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

What You Bring to the Team

    • 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.)

What We Have to Offer

    • 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
Full-time
Senior