Description
About the Research Engineering team
The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.
As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:
-Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or
-Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, …) and turn fresh ideas into repeatable, scalable code.
Location: Paris / London (hybrid) or remote EU/UK with one hub day per month.
-Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
-Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
-Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).
-Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
-Deliver prototypes that become production-grade components for Le Chat and our enterprise API.