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Netflix Software Engineer L4 Consumer ML Model Compute & Serving Systems United States, Oregon 692127594
23.06.2024
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 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.
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 - $464,000.
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