AI Research Engineer 6 - TL, Algo Core - AI for Member Systems

Netflix
Panama
Workplace: RemoteFull timeUSD 600,000 - 1,066,000 annuallyFunction: Research & Scientific (R&D)Experience: 6+ yearsEducation: mastersSkills: ["Mentorship","Code review","Cross-functional collaboration","Technical leadership","Problem-solving"]

Own the technical vision and roadmap for reward modeling, utility estimation, and multi-objective optimization within Algo Core (AI for Member Systems). Lead auction-based and constrained-optimization approaches for deciding promotional allocation across the member experience. Partner with Merchandising, Ads, MECS, Product, and Data Science & Engineering, run rigorous offline experiments and A/B tests, and mentor the team through code review and engineering best practices.

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FursaFursa
Netflix
Netflix
2 days ago

AI Research Engineer 6 - TL, Algo Core - AI for Member Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Own the technical vision and roadmap for reward modeling, utility estimation, and multi-objective optimization within Algo Core (AI for Member Systems). Lead auction-based and constrained-optimization approaches for deciding promotional allocation across the member experience. Partner with Merchandising, Ads, MECS, Product, and Data Science & Engineering, run rigorous offline experiments and A/B tests, and mentor the team through code review and engineering best practices.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Drive the team’s technical vision and roadmap for reward modeling, utility estimation, and multi-objective optimization, including auction-based and constrained-optimization approaches for promotional allocation.
  • •Partner with Merchandising, Ads, MECS, Product, and Data Science & Engineering to align AI/ML capabilities with business priorities.
  • •Integrate and leverage the utility layer, reward signals, and multi-objective optimization across member-facing AI models.
  • •Design and run rigorous offline experiments and A/B tests to validate impact on business and member-experience metrics.
  • •Contribute to team technical culture through mentorship, code review, and raising engineering standards.

Pay and Benefits

Salary: USD 600,000 - 1,066,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityHsaFsaLife InsurancePaid LeaveFlexible Time

Key Requirements

  • •6+ years of experience applying machine learning in an industry setting with a track record of delivering impactful production systems.
  • •Experience driving partnerships with both technical and nontechnical stakeholders.
  • •Master’s or PhD in a computational field such as computer science, statistics, math, operations research, or physics.
  • •Deep expertise in ML and optimization algorithms, including training, tuning, and deploying models in production.
  • •Experience with reward modeling, utility estimation, or constrained-optimization and auction-based allocation systems, plus strong Python with Scala or Java experience.
Experience:6+ years
Education:Master's
Skills:MentorshipCode reviewCross-functional collaborationTechnical leadershipProblem-solving
Tech Stack:PythonScalaJavaMachine learningA/B testingOptimization

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
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Glassdoor: 4.1
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