System1is seeking aSenior Machine Learning Engineerto join our team!System1 is a post-IPO company that blends the agility of a startup with the reach of an industry leader. Our platform reaches hundreds of millions of users monthly, and we're committed to transforming large datasets into powerful platforms and services that revolutionize digital advertising. Backed by cutting-edge ML and GenAI, we're setting new industry benchmarks and pushing the boundaries of what's possible.The Role You Will Have:As a Senior Machine Learning Engineer at System1, you'll play a key role in driving our product strategy forward. You'll leverage our in-house code and data frameworks, such as dataiku, to architect service-oriented solutions, develop scalable algorithms, and deploy LLM and LLM-adjacent technologies within our platform. Collaborating closely with cross-functional teams, you'll engage stakeholders across multiple product priorities and focus on the scalability, measurement, and observability of ML systems.What You Will Bring:Bachelor's degree (Master's preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience5+ years of experience delivering data science solutions in production environmentsStrong understanding of LLM technology, including embedding models, vector storage/retrieval, etc.Hands-on experience with dataiku (preferred)Fluency in Python or similar scripting language in a data science contextStrong software design and implementation skills with Python or a general-purpose programming languageExperience in service-oriented environments: Microservices, SaaS, or cloud-native environments preferredProficiency in AWS and infra-as-code (terraform, pulumi, etc.)Hands-on experience with Snowflake or other cloud based analytics databasesAbility to effectively communicate technical information to a wide spectrum of cross-functional team membersWhat We Have to Offer:Competitive salary + bonus + equityGenerous PTO + 11 company holidaysOpen sick time100% covered Medical, Dental, Vision for employees401k with matchHealth & Dependent Care Flex Spending Account Paid professional developmentLeadership & growth opportunitiesVirtual company and team building events #LI-Hybrid#BI-Hybrid#LI-AW1The U.S. base salary range for this full-time position is$171,500 - $257,300+ 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's headquarters is located in Marina del Rey, CA with additional offices in Bellevue, WA and Guelph, ON, Canada. Employees near office locations are returning to the office. Location-specific policies and available accommodations will be discussed during the interview process.System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Connecticut, 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. Reasonable accommodations will be provided as applicable.Equal Employment Opportunity:System1 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
