Research Engineer 5/6 – AI for Member Systems

Netflix
Panama
Workplace: RemoteFull timeUSD 600,000 - 1,066,000 annuallyFunction: Research & Scientific (R&D)Education: mastersSkills: ["Communication"]

Build and scale machine learning solutions for Netflix personalization and recommendation systems. Partner with researchers, engineers, data scientists, and product managers to develop algorithms that improve member experiences, from concept to production deployment. Optimize model performance and scalability for a global member base, and validate changes through offline experiments and A/B testing. Help advance ML infrastructure, tooling, and continuous learning while collaborating across cross-functional teams.

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FursaFursa
Netflix
Netflix
1 year ago

Research Engineer 5/6 – AI for Member Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and scale machine learning solutions for Netflix personalization and recommendation systems. Partner with researchers, engineers, data scientists, and product managers to develop algorithms that improve member experiences, from concept to production deployment. Optimize model performance and scalability for a global member base, and validate changes through offline experiments and A/B testing. Help advance ML infrastructure, tooling, and continuous learning while collaborating across cross-functional teams.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Collaborate cross-functionally to develop and implement ML algorithms improving personalization, recommendations, and member experiences.
  • •Create scalable, production-ready ML solutions from initial concept through deployment in real-time systems.
  • •Optimize ML model performance and scalability for diverse member tastes and behaviors globally.
  • •Design and conduct offline experiments and A/B tests to measure impact on key business metrics.
  • •Improve ML infrastructure and tooling while staying current with advances in ML and software engineering.

Pay and Benefits

Salary: USD 600,000 - 1,066,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityHsaFamily BenefitsLife InsurancePaid Leave

Key Requirements

  • •5+ years applying machine learning in an industrial setting with a track record of impactful results.
  • •PhD or Masters in Computer Science, Statistics, or a related field.
  • •Hands-on expertise training, tuning, and deploying ML models in production environments.
  • •Strong software design and development skills in Python plus Scala, Java, C++, or C#.
  • •Experience with applied fields such as recommendations, personalization, bandits, transformers, large language models, LLM evaluation, and/or RLHF reward modeling/alignment.
Education:Master's in Computer Science, Statistics, or a related field
Skills:Communication
Tech Stack:Machine learningPythonScalaJavaC++C#TransformersLarge Language ModelsLLM evaluationRLHFA/B testingNeural networksNatural language processingCausal inference

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
Glassdoor
Glassdoor: 4.1
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