Research Engineer – User Identity Knowledge Graph
Job Description:
• 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
Apply Now
Apply Now
• 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
Apply Now
Apply Now