✌️About the job

We are looking for an experienced engineering leader to lead our applied ML research on estimating long-term member satisfaction. As Netflix continues to grow, we are venturing into exciting new frontiers of personalization to help our members find the content they’ll most enjoy. To do this, we have to understand which titles, and what experiences in the product, produce the most joy for each member.

Your team will be at the forefront of research on causal inference, machine learning, reinforcement learning, and econometrics. You will lead a team of experts in these techniques to understand how members experience titles, and how that changes their long-term assessment of their satisfaction with the Netflix service. In this role you will be responsible for building and leading the team. Your team will be responsible for operating, as well as innovating on these algorithms. You will help select and guide projects from end-to-end: idea to production. You will partner with people from many disciplines, including behavioral scientists, machine learning researchers, and application engineers.

To be successful in this role, you need a strong machine learning, engineering, and econometrics background, to be data-driven, and have the proven ability to lead multi-disciplinary, cross-functional, teams. You also need to be great at giving and receiving feedback, championing new ideas, empowering others, and balancing the needs of both research and engineering.

Minimum Job Qualifications

  • Experience building and leading a team of ML researchers and engineers
  • A track record of leading applications of ML to solve real-world problems
  • Broad knowledge of causal inference, econometrics, and machine learning
  • Great interpersonal skills
  • MS or PhD in Computer Science, Statistics, or a related field

Preferred Qualifications

  • 10+ years of total experience including 5+ years of engineering management
  • Experience working on high-scale consumer problems.
  • At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right.
  • These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $449,000 – $842,000.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Tagged as: AI/ML, LLAMA, LLM, machine learning, ML training

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