Research Engineer developing agentic systems at Anthropic focused on LLMs and AI applications. Collaborating with researchers to enhance agent performance and tackle complex tasks.
About the role
- Research Engineer leading the creation of User Identity Knowledge Graph at Netflix. Shape foundational user understanding through innovative research and applied machine learning solutions.
Responsibilities
- 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
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