Netflix

AI/ML Scientist Intern, AIMS AI Foundations (PhD) – Fall 2026

Los Gatos, CA, US$83,200-$176,800Posted 18 days ago

Job Description

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. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The AIMS AI Foundations team sits within the AI for Member Systems (AIMS) organization and focuses on the research and engineering foundations that underpin next-generation member experiences. Our work spans agentic AI systems, LLM evaluation frameworks, multimodal modeling and training data curation. We work at the intersection of applied research and product impact, translating novel ideas into measurable improvements for Netflix members worldwide.

We are seeking a PhD intern to join us for a Fall 2026 engagement (targeting a September 2026 start, with flexibility). This is a hands-on applied research role: you will be expected to design and run experiments, build prototypes, and contribute meaningfully to ongoing team projects in one or more of our core domain areas.

Domain Areas

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Interns will be matched to projects within one or more of the following focus areas

  • Agentic AI – Developing and evaluating systems that reason, plan, and act autonomously, including tool use, retrieval-augmented reasoning, memory and goal management, and feedback-driven learning.
  • LLM Evaluations – Designing rigorous evaluation frameworks, benchmarks, and quality metrics to assess language model behavior, reliability, and alignment.
  • Multimodal Data...

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