Research Engineer 4 - Member

Netflix
United States
Workplace: RemoteFull timeUSD 300,000 - 537,000 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Problem-solving","Cross-functional collaboration","Adaptability","Driving impact"]

Build and iterate on LLM/ML evaluation and simulation systems to improve how Netflix understands its members. Own a research roadmap, turning deep learning and NLP expertise into scalable model development, insights, and member-facing investment guidance. Partner with Data Scientists, ML Scientists, and Engineers to ship end-to-end solutions, stay current on LLM advancements, and apply best-practice methodologies across rapidly evolving, ambiguous work.

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FursaFursa
Netflix
Netflix
3 months ago

Research Engineer 4 - Member

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and iterate on LLM/ML evaluation and simulation systems to improve how Netflix understands its members. Own a research roadmap, turning deep learning and NLP expertise into scalable model development, insights, and member-facing investment guidance. Partner with Data Scientists, ML Scientists, and Engineers to ship end-to-end solutions, stay current on LLM advancements, and apply best-practice methodologies across rapidly evolving, ambiguous work.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Research, develop, and iterate on LLM/ML evaluation and simulation systems to improve understanding of members.
  • •Own a research roadmap, deciding which areas need rapid iteration versus deeper development.
  • •Create insights that influence the direction of future member-facing investments in partnership with the Product team.
  • •Collaborate with Data Scientists, ML Scientists, and Engineers across projects to maximize member understanding.
  • •Monitor LLM research progress and identify where to adopt new best practices and methodologies.

Pay and Benefits

Salary: USD 300,000 - 537,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability ProgramsLife InsurancePaid LeaveFlexible Time

Key Requirements

  • •Strong foundation in deep learning and LLMs, with hands-on experience improving large generative models and model evaluation.
  • •Industry experience building scalable ML models, especially for natural language processing and translating results into business impact.
  • •Advanced degree (PhD) in Computer Science, Electrical Engineering, or related field focused on machine learning, AI, or computer vision, or equivalent industry experience.
  • •Strong software engineering skills in Python and proficiency with PyTorch or TensorFlow.
  • •Ability to communicate complex technical details and pivot between research goals and end-to-end implementation.
Experience:Deep learningLLMsMachine learningNatural language processingGenerative modelsModel evaluation
Education:PhD / Doctorate
Skills:CommunicationProblem-solvingCross-functional collaborationAdaptabilityDriving impact
Tech Stack:PythonPyTorchTensorFlowLLMMLNatural language processing

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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