Software Engineer L4/L5, Model Serving Systems, Machine Learning Platform

4 Months ago • All levels • Artificial Intelligence • Research & Development • $100,000 PA - $464,000 PA

Job Summary

Job Description

Netflix's Consumer ML Model Compute & Serving Systems team seeks Software Engineers (L4/L5) to build and maintain the infrastructure for their machine learning models. This involves developing a model serving platform, an event-driven compute framework, and a compute orchestration engine. The role requires collaboration with engineers, product managers, and data scientists to ensure high availability, throughput, and performance of ML models directly impacting customer experience. Responsibilities include building high-traffic distributed systems, optimizing performance, managing deployments, and capacity planning, primarily using Java. Experience with cloud platforms (AWS, Azure, GCP) is essential.
Must have:
  • Experience with high-traffic distributed systems and ML infrastructure
  • Supporting large-scale ML models impacting customer experience
  • Proficient in object-oriented programming (Java preferred)
  • Strong DevOps experience (performance tuning, deployments, capacity planning)
  • Experience with public cloud (AWS, Azure, or GCP)
Perks:
  • Comprehensive health plans
  • Mental health support
  • 401(k) retirement plan with employer match
  • Stock option program
  • Disability programs
  • Health savings and flexible spending accounts
  • Family-forming benefits
  • Life and serious injury benefits
  • Paid time off

Job Details

Netflix is one of the world's leading entertainment services, with 283 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.

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 - $464,000.

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.

Netflix is a unique culture and environment.  Learn more here.

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.

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