At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.
Come be a part of what’s next. Netflix is on the journey to rebuild the AI/ML model serving platform and infrastructure that turns trained models into served predictions across real-time, async, and agentic workloads, at a scale few companies operate at. Supporting many production clusters, from classical to foundation models, spanning latencies from milliseconds rankers to LLM calls, and powering everything members see from homepage ranking to search, messaging, and internal AI productivity tools.
We are re-building a new model serving platform from the ground up, designed from first principles to meet industry standards. It unifies our in-house inference infrastructure, third-party model hosting, and external LLM providers under a single serving, routing, and experimentation layer. Teams get one consistent way to deploy, route, and A/B test any model, regardless of where it runs.
Re-engineering how GPU capacity is provisioned and used. During off-peak periods, the same fleet that serves latency-critical production traffic is repurposed to run open-weight models for internal coding and developer productivity use cases. This role sits at