Machine Learning Engineer

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’re looking for a Software Engineer to drive innovations in the member experience space by delivering delightful experiences to Netflix subscribers on the iOS app. Our responsibilities include working on to core infrastructure that enables existing and future innovations. We care deeply about UI performance, quality, and accessibility of the Netflix iOS app. To bring new kinds of engaging and cinematic experiences to life, we partner closely with many cross-functional teams including product management, experience design, and creative production.

You will excel if you are product-minded, detail-oriented, and can drive scalable technical solutions that align with our business goals. We have a unique that allows you to do your best work and grow.

About the Role:

• Collaborate with developers and product teams to build delightful, performant, and accessible consumer-facing experiences.

• Contribute to product features, core infrastructure and A/B tests using UIKit, Core Animation, and Foundation APIs in Swift.

• Develop highly maintainable iOS client code with effective documentation that can be leveraged by other developers on the team.

• Write automated tests with XCTest and XCUITest frameworks to deliver high quality code.

• Partner closely with product management to scope projects, with designers to refine UI specifications or collaborate with partner engineering teams on shared infrastructure. 

What Sets You Apart:

• Self-starter comfortable with identifying opportunities, seeking feedback and context to drive forward-looking technical solutions

• Take a thoughtful, practical approach to problem solving that considers tradeoffs and avoids over-engineering.

• Effective at developing strong relationships with cross-functional teams through clear communication, curiosity, and selflessness

• Curious about a broad range of new or unfamiliar technologies, organizational structures, and product vision. Comfortable asking questions and seeking knowledge in unfamiliar or ambiguous situations.

• Aim to elevate the knowledge, skills, abilities of yourself and others that is conducive to fostering an inclusive, collaborative environment.

• Deeply cares about the quality & performance of the product shipped

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 $100,000 - $720,000. 

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 .

 

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.