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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.
Netflix is the world's leading streaming entertainment service, with over 300 million paid members in over 190 countries, enjoying TV series, feature films, and games across numerous genres and languages. Members can watch or play as much as they want, anytime, anywhere, on any internet-connected screen. Machine Learning/Artificial Intelligence powers all of our consumer experience, including content discovery and personalization, identifying and attracting new members to our product, optimizing our payment processing, and much more. More recently, fast-paced innovation in large language models (LLMs) has greatly helped advance state-of-the-art technology in many areas of personalization, including search and recommendation experiences.
The Consumer ML Serving team provides the computational platform on which we build nearly all our consumer-facing ML/AI applications. If you've seen it, we probably served it! We provide all the building blocks to serve ML at scale, including a real-time model serving platform, an event-driven model and feature compute framework, a distributed compute orchestration engine, and more. Additionally, as we expand to enable LLM innovation in numerous areas of personalization, we're building model serving infrastructure for LLMs and other large foundation models. We are looking for a strong senior engineer to own and develop our long-term vision. Our systems power some of Netflix's most business-critical models, and we need you to take our ML/AI initiatives to the next level. You will play a highly cross-functional role, partnering with other engineers, product managers, machine learning engineers, and data/research scientists. If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applied ML algorithms, and enjoy seeing a direct line between your work and what our customers see on their screens, we want to talk to you.
You may enjoy working with us if you are:
We would especially love to work with you if have experience with:
…and if:
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