about 1 month ago
Base Salary
$233k - $267k/yr
Responsibilities
- Define the personalization tech strategy and set the research agenda.
- Build and maintain longitudinal user state representations.
- Design retrieval systems to surface relevant content and interventions.
- Architect a modern personalization serving interface.
- Drive evaluation rigor through measurement frameworks and lightweight testing.
- Apply causal reasoning to assess personalization effects.
- Mentor team members and shape team norms around experimentation.
- Collaborate with cross-functional teams to integrate personalization into the user experience.
Requirements
- 8+ years of experience in applied machine learning or AI research.
- Expertise in recommendation systems, personalization, or retrieval.
- Hands-on experience with retrieval, ranking, and recommendation system design.
- Comfort working with server and app engineers on model serving.
- Experience integrating recommendation signals with LLM-powered generation.
- Ability to design lightweight experiments and evaluations.
- Solid exposure to causal methods and experiment design.
- Evidence of influencing technical direction and mentoring others.
- Strong ability to explain complex systems to diverse audiences.
- Proficiency in Python and modern data tooling.
Benefits
- Competitive salary and equity packages.
- Health, dental, vision insurance, and mental health resources.
- An Oura Ring of your own plus employee discounts.
- 20 days of paid time off plus 13 paid holidays and 8 days of flexible wellness time off.
- Paid sick leave and parental leave.