The Model Serving Systems team at Netflix is seeking strong engineers to develop and expand their compute infrastructure to support growing AI needs. This role focuses on building scalable AI/ML applications and infrastructure, particularly for large language models and other foundational models. Engineers will collaborate with various teams to drive AI/ML innovation across the company. The position offers an opportunity to work in a multidisciplinary environment and influence customer experiences significantly.

• Experience building high-traffic distributed services and infrastructure for online ML model inference.
• Familiarity with scalable model-serving solutions for generative models and LLMs.
• Proficiency in object-oriented programming, preferably in Java.
• Experience with deploying ML models using tools like Triton Inference Server, TensorRT, and Docker.
• Experience working with public cloud platforms such as AWS, Azure, or GCP.
• A BS/MS in Computer Science, Applied Math, Engineering, or a related field.

• Develop and expand compute infrastructure to support AI needs.
• Build model serving infrastructure for large language models and other foundational models.
• Collaborate with engineers, product managers, machine learning engineers, and data scientists.
• Ensure high availability and performance of ML models in production.
• Promote best practices in observability and logging.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.