Lead the 0-1 development of the User Identity Knowledge Graph
Identify and articulate the key challenges and opportunities in modeling user knowledge at scale
Design, prototype, and deploy novel machine learning and knowledge representation models
Prioritize and sequence research efforts, balancing long-term vision with near-term impact
Collaborate 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
Experience with modern ML/DL frameworks (e.g., PyTorch, TensorFlow)
Experience with large-scale data processing (e.g., Spark, PySpark, Scala)
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

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 learningPyTorchTensorFlowlarge-scale data processingSparkPySparkScala

Soft Skills

technical leadershipcommunication skillsownership mindsetcomfort with ambiguitycollaborationprioritizationresearch articulationproblem-solvingstrategic thinkingimpact-driven

Certifications

PhD in Computer Science