Job Title: Machine Learning Software Engineer (L5) - Content and Studio
Company: Netflix
Location: United States
Description:
Netflix is one of the world's leading entertainment services, with 283 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 Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are looking for an experienced Algorithm Full Stack Engineer to join our mission by bridging algorithmic solutions with creative tools. In this unique opportunity, you will apply your full stack engineering skills to bring cutting-edge algorithms to our rapidly evolving Localization products. You will collaborate with a talented cross-functional team of scientists, engineers, product managers, and domain experts to deliver business impact.

Responsibilities


Design and develop systems and solutions for developing algorithm tooling prototypes and enabling in-depth algorithm evaluation
Propose, promote and facilitate paved paths for integration and productization of algorithms, laying foundations for feedback loops and data flywheels
Identify and execute on opportunities to create leverage for scaling algorithm impact, managing algorithm dependencies and expanding algorithm distributions
Contribute to algorithm projects end-to-end across different domains
Cultivate strong relationships with cross-functional partners
Evangelize best practices on algorithm full stack engineering


About You


Proven track record of delivering high-impact algorithm-driven software systems and solutions
High proficiency in full stack engineering, including frontend, backend, distributed systems, and cloud infrastructure
Familiarity with algorithms and pipelines for processing large-scale media assets. Bonus: familiarity with common ML and DL frameworks such as PyTorch
Excellent communication and collaboration skills
Passion for bridging algorithms with tooling and workflows
Exceptional communication and collaboration skills
Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
Netflix culture resonates with you


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.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.
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