Engineering Manager, Machine Learning and Asset Optimization
Description For Engineering Manager, Machine Learning and Asset Optimization
Netflix, a global entertainment leader with 283 million subscribers, is seeking an Engineering Manager for their Machine Learning and Asset Optimization team. This role combines technical leadership with ML innovation, focusing on personalizing content presentation through box arts, synopsis, and trailers. The position offers an opportunity to work at the intersection of applied ML research and practical implementation, leading a team of experts in developing sophisticated personalization algorithms.
The role demands a blend of technical expertise in machine learning and leadership capabilities, with responsibilities spanning from research to production implementation. The successful candidate will drive innovation in personalization technology while managing a team of ML researchers and engineers. They'll be responsible for building and operating large-scale ML systems that directly impact Netflix's user experience and member retention.
This position offers an exceptional compensation package ($190,000 - $920,000) and comprehensive benefits, including health coverage, equity options, and flexible time off. The role provides an opportunity to work with cutting-edge technology in a company known for its unique culture of freedom and responsibility. The ideal candidate will have 10+ years of experience, with at least 5 years in engineering management, and will thrive in a collaborative environment working across disciplines.
Working at Netflix means joining a team that values innovation, excellence, and inclusion. The role offers the chance to impact millions of users' entertainment experiences while working with some of the industry's best talents in machine learning and personalization technology.
Responsibilities For Engineering Manager, Machine Learning and Asset Optimization
- Lead applied ML research on Asset Optimization
- Lead a team of experts and engineers for personalized assets
- Build a consolidated continuous explore/exploit system
- Scale and lead the team
- Operate and innovate on algorithms in production
- Select and guide projects from idea to production
- Partner with behavioral scientists, machine learning researchers, and application engineers
Requirements For Engineering Manager, Machine Learning and Asset Optimization
- 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
- Excellent speaking, writing, and presentation skills
- Strong interpersonal, analytical, problem-solving, and conflict resolution skills
- Advanced degrees in Computer Science, Computer Engineering, or related quantitative field
- 10+ years of total experience including 5+ years of engineering management
- Experience working on high-scale consumer problems
Benefits For Engineering Manager, Machine Learning and Asset Optimization
- 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
- 35 days annually for paid time off (hourly employees)
- Flexible time off (salaried employees)
