Machine Learning/AI Infrastructure Engineering Intern (AI Platform) PhD, Winter 2027

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 one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.

The AI Platform team builds the infrastructure that Netflix's ML and AI systems run on, from large-scale training platforms and post-training/offline infrastructure to GPU-optimized inference and serving.

You'll work on infrastructure that's closely co-designed with modeling teams (model–system codesign), so this role suits PhD researchers who enjoy working at the intersection of systems and ML rather than pure modeling.

We are looking for individuals with the following qualifications

• Currently enrolled student pursuing a PhD in Computer Science, Distributed Systems, Systems, Networking, Machine Learning, Computer Engineering, or a related field
• Research or applied experience in one or more of the following:

+ Distributed systems, distributed training/serving infrastructure + ML training platforms, post-training or offline infrastructure + Inference and serving optimization, GPU-optimized inference + Model–system codesign * Proficiency in Python; experience with systems languages (Go, C++, or Rust) is a strong plus * Familiarity with distributed compute frameworks (e.g., Ray, Kubernetes, Spark) and ML training/serving stacks * Curious, self-motivated, and excited about solving open-ended infrastructure challenges at Netflix scale * Strong written and verbal communication skills

Nice to have

* Publications or strong research alignment with systems