Lead the 0-1 development of the User Identity Knowledge Graph
Shape the problem space: Identify and articulate the key challenges and opportunities
Drive applied research: Design, prototype, and deploy novel machine learning and knowledge representation models
Set the research roadmap: Prioritize and sequence research efforts
Collaborate cross-functionally: Partner with data scientists, engineers, product managers, and stakeholders across Netflix

Requirements

Proven technical leadership in 0-1 or highly ambiguous problem spaces
Deep expertise in knowledge graphs and/or graph neural nets
Modern ML/DL frameworks (e.g., PyTorch, TensorFlow)
Large-scale data processing (e.g., Spark, PySpark, Scala etc)
Exceptional communication skills
Strong ownership mindset and comfort with ambiguity
PhD in Computer Science or a related field (or equivalent research experience) is strongly preferred
Passion for impact: Demonstrated ability to connect research outcomes to business value and product strategy

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

knowledge graphsgraph neural networksmachine learningdeep learningdata processingSparkPySparkScalaPyTorchTensorFlow

Soft Skills

technical leadershipcommunication skillsownership mindsetcomfort with ambiguitycollaborationproblem-solvingresearch prioritizationarticulation of challengescross-functional partnershipimpact-driven

Certifications

PhD in Computer Science