Machine Learning Manager - Promotional Media

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

At Netflix, we seek to entertain the world. We are revolutionizing international storytelling by connecting 280+ million members in over 190 countries, across 30+ languages, to the movies and TV shows they love. We launch thousands of new TV shows and movies every year for our members across the globe. Each title is promoted with a custom set of artworks and video assets in support of helping each title find their audience of fans. Our goal is to empower creators with innovative tools that support them in effectively and efficiently creating the best media possible. With media-focused ML algorithms, we’ve brought science and art together to . 

Given this data rich landscape, we are looking for a seasoned technical leader to manage the team of Machine Learning engineers who work closely with our creative, engineering, and product management teams to help build intelligent creative tools that help Netflix bring more joy to our members. The team uses a range of cutting edge technologies like machine learning & computer vision and this leader would help guide their roadmap and charter.

What you will do in this role:

• Oversee end-to-end quality and operational excellence in promotional strategies.

• Hire, inspire, and grow high-performing team members

• Learn from and innovate closely with world renowned creative teams

• Partner with product management and engineering to define and execute on high impact x-functional roadmaps

• Lead innovation at Netflix by leveraging the right state-of-the-art methods in statistical analyses, machine learning, and computer vision to solve business problems

This role is for you if:

• You have a proven track record of applying machine learning with industrial-scale data 

• You excel at thinking through a business problem and solving it by leveraging analytics, and data science. 

• You excel at partnering with business & creative teams as much as you do with technical teams

• You have deep technical expertise in Machine Learning & Computer Vision

• You have a PhD/MS degree in Computer Science or related quantitative field and have 10 years of industry experience.

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 $360,000 - $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's is an integral part of what makes us successful, 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.

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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.

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.