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Netflix Software Engineer L5 LLM Compute & Serving Systems United States, Oregon 690751003
12.07.2024
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.
You may enjoy working with us if you are:
- Self-driven and highly motivated to deliver top-tier ML infrastructure while navigating highly ambiguous environments and can execute 0-to-1 projects.
- Eager to learn about new domains and ship high-quality, well-tested code.
- Able to produce generic and optimal solutions while balancing near-term needs.
- Excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, and product experimentation).
- Comfortable working in a hybrid team with partners distributed across (US) geographies & time zones.
- Willing to take broad ownership of team responsibilities (building roadmaps, scoping, task breakdowns, etc.)
We would especially love to work with you if have experience with:
- Building and operating high-traffic, real-time distributed systems and ML serving infrastructure for LLMs and other large foundation models.
- Supporting large-scale ML models with a direct impact on what customers see.
- Translating the requirements of research scientists into generic platform offerings.
- Delivering systems requiring high availability, throughput, and performance.
- Navigating highly ambiguous environments.
- Taking on and executing zero-to-one projects.
- Leading projects with 3-4 other engineers.
- Building applications in an object-oriented programming language. (We work primarily with Java, and while prior Java experience is not required to interview, you will be expected to become proficient on the job.)
- DevOps for large applications, including performance tuning, optimization, deployment management, and capacity planning.
- Public cloud like AWS, Azure, or GCP.
…and if:
- 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.
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