AI Research Scientist 4/5 – Generative Models, Recommender Systems

Netflix

. Track advancements in LLM and generative model research and translate them into concrete opportunities .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSenior💰 $300,000 - $537,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning and Deep Learning, particularly in Natural Language Processing and Generative Models. Capable of translating complex technical concepts for diverse stakeholders while leading end-to-end ML development and optimizing content for user impact.

Highest-signal resume keywords

Machine LearningDeep LearningNatural Language ProcessingLLM Post-Training ApproachesRecommendation Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM ResearchGenerative Model TechniquesModel TrainingModel EvaluationSummarization TechniquesText Evaluation MethodsDiffusion ModelsPersonalization SystemsOptimization Systems

Soft Skills

Stakeholder CommunicationCollaborationSubject Matter Expertise

Industry Keywords

LLMGenerative ModelsMember ImpactRecommendation SystemsResearch Experience

About the role

Key responsibilities & impact

Track advancements in LLM and generative model research and translate them into concrete opportunities
Apply state-of-the-art techniques to summarization quality and LLM-based evaluators
Lead end-to-end ML development, including research, model training, and evaluation
Optimize generated content for member impact using recommendation systems thinking
Partner with ML scientists and engineers to integrate models into business applications and platforms
Translate complex technical concepts for technical and non-technical stakeholders
Act as a subject matter expert to identify high-impact opportunities and define and execute roadmaps
Engage with the internal and external ML community

Requirements

What you’ll need

Demonstrated habit of tracking the LLM/generative model literature and identifying relevant advances for real business problems
Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation
Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus
Background in vision models such as diffusion models is a plus
Expertise in one or more LLM post-training approaches
Experience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus

Benefits

Comp & perks

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
Full-time salaried employees are immediately entitled to flexible time off