Netflix
Skills: Python, Java, Rust, SQL, Docker, CI/CD
At Netflix(https://himalayas.app/companies/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.
Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose through personalization, to making payment processing easier. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.
The Opportunity
Agents are one of the ways work gets done at Netflix(https://himalayas.app/companies/netflix) — and the AI Platform is building the foundation they run on. The Agent Platform team owns the durable, horizontal substrate every agent at Netflix(https://himalayas.app/companies/netflix) is built on, no matter which team ships it or which business it serves: the runtime agents execute in, the SDK developers build them with, the memory that lets them carry context across runs, the identity and permissioning that lets them act safely, and the tool and service interfaces they reach the rest of Netflix(https://himalayas.app/companies/netflix) through.
We are a small team with outsized leverage — what we ship becomes the foundation for agents across all of Netflix(https://himalayas.app/companies/netflix). The hardest problems we work on have no vendor answer and no textbook: how a non-deterministic system earns trust at member scale and how memory and evaluation become a loop that makes agents measurably better, not just bigger.
This is a senior individual-contributor role for an engineer who wants to build that foundation hands-on — to own a core primitive end-to-end and set its technical direction, in a domain that is still being invented and where the frameworks turn over in mon…
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