United States onlyNetflix is the world's leading streaming entertainment service, with over 230 million paid memberships in over 190 countries, enjoying TV series, documentaries, and feature films across various 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 numerous aspects of the Consumer Experience, including innovation in content discovery and personalization for members, identifying and attracting new members to our product, optimizing our payment processing, and many more.
The Opportunity
The Consumer ML Model Compute Serving Systems team provides the foundation for model computation, inference, and serving for all ML/AI innovation across the various Consumer ML domains. The team is responsible for developing all the building blocks required to run ML models at scale. These building blocks include a model serving platform, an event-driven model compute framework, a compute orchestration engine, and many more.
We are looking for strong software engineers for this team, which is a central focus of our business. You will play a highly cross-functional role, partnering with other engineers, product management, machine learning, and data teams to take Netflix’s ML/AI initiatives to the next level.
If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying ML algorithms, and operate in a critical part of the stack that strongly influences what our customers see on their screens, then we want to talk to you.
You may enjoy working with us if:
- You strive to embrace best practices and are curious about discovering new and better ways to solve problems.
- You are self-driven and highly motivated to deliver top-tier solutions while learning from and collaborating with Stunning Colleagues.
- You are strongly motivated to pick up new domains and ship high-quality, well-tested code.
- You are excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, product experimentation).
- You are comfortable working in a majority-remote team with partners distributed across (US) geographies time zones.
We would love to work with you if:
- You have experience building high-traffic distributed systems and ML infrastructure. You have experience supporting large-scale ML models with a direct impact on the customer experience with high availability, throughput, and performance.
- You are adept at building applications in an object-oriented programming language. We work with Java primarily, so an interest in learning and coding in Java is required.
- You have strong DevOps experience including performance tuning and optimizations, managing deployments, and capacity planning for large applications.
- You are experienced working with the public cloud like AWS, Azure, or GCP.
- You are a proactive, effective communicator and have a strong bias towards action.
- You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.
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.
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.
Australia
Japan
France
Mexico
Germany
Netherlands
Philippines
Singapore
Spain
Taiwan
India
United Kingdom
