Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more. Backed by IVP and Redpoint.
About the role
AI for Member Systems (AIMS) runs the AI systems behind every recommendation, search result, and personalized experience for 300M+ members. The stack powering it is large and battle tested, built to meet the demands of its time, and remarkably effective at doing so. But AI/ML is moving fast, and the infrastructure that got us here needs to evolve to meet what's next: new model paradigms, tighter cost and efficiency expectations, and the operational maturity that comes with running AI at this scale. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Significant experience designing, building, and operating production AI/ML systems at scale, including training pipelines and familiarity with model serving and online inference under high traffic
- Strong software engineering fundamentals with deep Python expertise and working proficiency in at least one JVM language (Scala or Java)
- Proven track record of improving AI/ML system reliability, reducing infrastructure costs, and improving operational scalability
- Experience building observability and monitoring systems for AI/ML workloads, you understand what good visibility looks like across training, serving, and data pipelines
- Strong distributed systems background, including batch processing at scale and real time serving infrastructure
- Collaboration with partner teams to drive technical programs across functions, setting direction, managing dependencies, and building consensus without formal authority
More about this role
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.
AI for Member Systems (AIMS) runs the AI systems behind every recommendation, search result, and personalized experience for 300M+ members. The stack powering it is large and battle tested, built to meet the demands of its time, and remarkably effective at doing so. But AI/ML is moving fast, and the infrastructure that got us here needs to evolve to meet what's next: new model paradigms, tighter cost and efficiency expectations, and the operational maturity that comes with running AI at this scale.
Platform Systems is the engineering foundation of AIMS, owning reliability, scalability, cost efficiency, and developer experience across the org. We are looking for a Staff ML Software Engineer to own the observability, cost, and platform subsystems that support next generation AI workflows and keep the AIMS AI/ML...
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