Engineering Manager - Machine Learning Content Personalization

Job Summary

Netflix seeks a Manager to lead the Content Personalization Algorithms Engineering team. The role involves building and scaling next‑generation recommendation algorithms that cover a wider range of content—including movies, series, games, and live‑streaming events—and ensuring rapid response to trending events through techniques such as bootstrapping or transfer learning.

• Lead a team of machine learning engineers and researchers to develop and deploy recommendation algorithms.
• Architect end‑to‑end solutions, from concept through production A/B tests.
• Drive vision, strategy, and innovation projects aligned with Netflix’s personalization mission.
• Collaborate cross‑functionally with personalization, serving, product management, ML platforms, data engineering, data science, and content teams.
• Foster an inclusive team culture, mentor colleagues, and champion new ideas.

• 10+ years total experience, including 5+ years leading machine learning teams focused on personalization, search, or recommender systems.
• Track record of successful real‑world machine learning applications.
• Strong mathematical foundation and deep understanding of machine learning concepts such as deep learning, ranking, LLMs, bandits, or reinforcement learning.
• Proficient in software engineering and large‑scale distributed systems.
• Excellent interpersonal and communication skills.
• MS or PhD in Computer Science, Statistics, or a related field.

• Annual salary range: $190,000 – $920,000.
• Flexible allocation between salary and stock options.
• 401(k) retirement plan with employer match.
• Comprehensive health coverage, mental health support, and health savings/flexible spending accounts.
• Disability coverage, family‑forming benefits, life and serious injury benefits.
• Paid leave of absence and flexible time off for salaried employees.
• Additional benefits include stock option program and other company‑wide perks.

We are an equal‑opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. 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.