Software Engineer (L4), Consumer ML Model Compute & Serving Systems
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
Netflix 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.
- 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.
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 20 days and will be removed when the position is filled.