Engineering Manager, Machine Learning and Asset Optimization

Job Description

The Role

We are looking for a seasoned engineering leader to lead our applied ML research on Asset Optimization. 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 tailor assets like box arts, synopsis and trailers to help members decide if they will enjoy a title and understand the connection between recommendations and their tastes.

Your team will be at the forefront of research and industry application on machine learning, bandits and LLM. You will lead a team of experts and engineers to personalized assets to help members decide if they will enjoy a title to maximize member joy and retention. You will lead efforts to build a consolidated continuous explore/exploit system with generalizability across other application areas. In this role you will be responsible for scaling and leading the team. Your team will be responsible for operating, as well as innovating on, these algorithms in production. 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 to have rich machine learning and engineering experience driving ML applications on a consumer scale. You are data-driven, curious with a healthy dose of skepticism, and have the proven ability to lead multi-disciplinary, cross-functional, teams. As owners of the systems, you are obsessed with engineering quality and operational excellence. 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
• Proven track record of leading applications of ML to solve real-world problems
• Broad knowledge of practical machine learning with a strong mathematical foundation
• Experience driving cross-functional projects with diverse sets of stakeholders
• Obsession with engineering and operational excellence and a relentless pursuit of great product experience
• Excellent speaking, writing, and presentation skills to communicate with technical- and non-technical audiences
• Strong interpersonal, analytical, problem-solving, and conflict resolution skills.
• Advanced degrees in Computer Science, Computer Engineering, or a related quantitative field

Preferred Qualifications
• 10+ years of total experience including 5+ years of engineering management
• Experience working on high-scale consumer problems.

Netflix's culture is an integral part of our success, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $190,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.

Netflix has 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.

Job is open for no less than 7 days and will be removed when the position is filled.

Jobcode: Reference SBJ-d2w0v5-18-219-47-239-42 in your application.