Research Scientist 5/6 – AI for Member Systems

Netflix
Panama
Workplace: RemoteFull timeUSD 466,000 - 750,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: phdSkills: ["Communication","Leadership","Collaboration","Prioritization","Execution focus"]

Drive applied AI/ML research for Netflix’s AI for Member Systems, developing and validating innovative algorithmic solutions at global scale. Work on state-of-the-art techniques such as LLM pretraining and post-training (fine-tuning, distillation) with robust offline experimentation, and build production-ready systems. Collaborate with multidisciplinary teams across personalization, recommendations, search, and related member-facing experiences, translating research into measurable impact.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Netflix
Netflix
1 year ago

Research Scientist 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: 2 hours agoStatus: Live

Job Summary

Drive applied AI/ML research for Netflix’s AI for Member Systems, developing and validating innovative algorithmic solutions at global scale. Work on state-of-the-art techniques such as LLM pretraining and post-training (fine-tuning, distillation) with robust offline experimentation, and build production-ready systems. Collaborate with multidisciplinary teams across personalization, recommendations, search, and related member-facing experiences, translating research into measurable impact.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Conceptualize, design, implement, and validate innovative applied algorithmic research.
  • •Explore and apply state-of-the-art AI/ML techniques such as LLM pretraining and fine-tuning.
  • •Run robust offline experimentation and develop production-ready AI systems.
  • •Collaborate with multi-disciplinary teams to improve member-facing personalization, recommendations, search, and related experiences.
  • •Set priorities and maintain strong execution focus in a fast-paced environment.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityFlexible SpendingPaid LeaveLife InsuranceFlexible Time

Key Requirements

  • •Ph.D. or Master’s in Computer Science or a related field.
  • •6+ years of research experience delivering quality results.
  • •Deep expertise in machine learning, including supervised and unsupervised learning, with practical LLM development experience.
  • •Proven experience applying LLMs and other foundation models to real-world problems, including post-training (fine-tuning and distillation).
  • •Strong software engineering skills; required: Python, TensorFlow, PyTorch.
Experience:6+ yearsAI/ML researchLarge-scale personalizationLLMsFoundation modelsReinforcement learning
Education:PhD / Doctorate
Skills:CommunicationLeadershipCollaborationPrioritizationExecution focus
Tech Stack:PythonTensorFlowPyTorchJavaScalaSparkHiveJaxFlinkHadoopLLMsFoundation modelsDeep learningReinforcement learningBanditsCausal inferenceNatural language processingComputer visionComputer graphicsSearch

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
WebsiteLinkedInGlassdoor