Netflix is one of the world's leading entertainment services, with over 300 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 personalization data team is responsible for curating high quality, high fidelity data to power our world-class ML and GenAI based systems. The data forms the inputs to close the feedback loop for our algorithms that enable the exceptional experiences our members enjoy.

About the role

In this role you will work on a highly impactful and complex challenge of providing the new generation data foundation for LLM foundation models. We are looking for experienced engineers with an unmistakable passion for data and expertise in building large-scale distributed systems with a focus on scalability, reliability, and a deep commitment to data quality.

Skills required for this role

Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets.
Experience in building highly available and reliable web applications that enable online serving on distributed systems (like Cassandra etc)
Proficiency in at least one major programming language (e.g. Java, Scala) and ability to pick up new tech skills independently.
Hands on experience with schema design and data modeling, with an unmistakable passion for elegant and intuitive dataset design.

Qualities we value

You have a passion for engineering excellence and tolerance for ambiguity in a fast-paced setting.
You are independent and can allocate your time judiciously. You employ organizational context to resolve competing priorities.
You are able to strategically partner with diverse stakeholders to drive innovation.
You seek to drive change and influence others through clear and effective communication.
You are both a leader and a learner and can smoothly inter-operate between the two personas with humility and maturity

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 detail about our Benefits here.

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.

Senior Software Engineer (L5) - LLM Data Foundations

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