Engineering Manager, Machine Learning and Asset Optimization

$190,000 - $920,000/Yr

Netflix - Los Gatos, CA

Full-time - Manager

Los Gatos, CA

10,001+ employees

Broadcasting and Content Providers

About the position

The Engineering Manager for Machine Learning and Asset Optimization at Netflix will lead a team focused on applied machine learning research to enhance asset optimization. This role involves personalizing content assets to improve member engagement and retention, utilizing advanced machine learning techniques. The manager will oversee the development and operationalization of algorithms, ensuring high-quality engineering and collaboration across various disciplines.

Responsibilities

• Lead a team of machine learning researchers and engineers in applied ML research for asset optimization.
• Develop and implement personalized content assets to enhance member engagement.
• Build and maintain a continuous explore/exploit system applicable across various domains.
• Oversee the operationalization of algorithms in production environments.
• Collaborate with behavioral scientists, machine learning researchers, and application engineers on projects.
• Guide projects from conception to production, ensuring alignment with business goals.

Requirements

• Experience building and leading a team of ML researchers and engineers.
• Proven track record of applying ML to solve real-world problems.
• Broad knowledge of practical machine learning with a strong mathematical foundation.
• Experience driving cross-functional projects with diverse stakeholders.
• Strong focus on engineering quality and operational excellence.
• Excellent communication skills for 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.

Nice-to-haves

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

Benefits

• 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 for full-time hourly employees
• Flexible time off for full-time salaried employees