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

We are seeking an experienced Engineering Manager to lead our internal research engineering tools team. This team develops and maintains tools and infrastructure that enhances the velocity, scalability, and reliability of our applied Machine Learning (ML) innovation. These tools are an integral part of the daily workflow of our ML researchers, helping them to drive groundbreaking advancements in Netflix’s member experience. As part of a larger applied research organization, you will work closely with our research managers to identify frictions, to design and build engineering solutions, and to advance the state-of-the-art in machine learning.

To be successful in this role, you must possess strong communication, organizational, and interpersonal skills; have experience with the machine learning ecosystem; and have a passion for improving developer (or researcher) experience. Your responsibilities will include managing and mentoring a team of senior and highly experienced engineers, developing the technical vision and roadmap for the area, and balancing the needs of stakeholders with competing needs and priorities.

If you are ready to make a difference at a company that matters, and if you want to work with machine learning, and developer tools, in a company that strongly believes in both, then we would love to talk to you.

Requirements:

• 2+ years of experience as an engineering manager, and 6+ years of industry experience overall.

• Strong software design and development skills (in either Python, Scala, Java, C++, or an equivalent production language).

• Experience with parallel and distributed computing

• BS in Computer Science or related field

Preferred, but not required:

• 4+ years of experience as engineering manager, and 10+ years of industry experience overall.

• Experience leading a developer tools team.

• Experience operating and customizing Bazel, or similar distributed build systems (such as Buck, Pants, etc).

• Experience with machine learning frameworks, such as TensorFlow, PyTorch, etc

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 (https://jobs.netflix.com/work-life-philosophy) .

Netflix has a unique culture and environment. Learn more here (https://jobs.netflix.com/culture) .

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.