The opportunity
The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models.
What you'll do
Build and scale retrieval infrastructure across indexing, serving, and query execution.
Develop low-latency, high-throughput systems for real-time model interaction.
Partner with research to productionize embedding and retrieval techniques.
Support dense, sparse, and hybrid retrieval pipelines.
Own system performance, reliability, and observability at scale.
Collaborate across Pretraining, Inference, and Product teams to integrate retrieval end-to-end.
What they're looking for
- Contribute to model: system interfaces for agentic workflows.
- Experience building and scaling distributed systems.
- Background in search, retrieval, or indexing systems.
- Familiarity with embedding-based or ML-powered systems.
