Member of Technical Staff (Post Training)
Inherent, London
The role
We’re looking for Members of Technical Staff to lead work on post-training state-of-the-art foundation models for open-ended agentic capabilities in scientific research. You’ll be involved at every level of the post-training pipeline: sourcing and creating data, building autocurricula, devising and implementing SFT and RL algorithms, constructing tools and harnesses for foundation model self-improvement, analysing research results, and using information gained to devise future hypotheses. You will work closely with an experienced technical team of humans, and increasingly alongside the AI scientist collaborators we dogfood.
What you will do
- Design, implement, and tune SFT and RL algorithms to post-train models that autonomously perform state-of-the-art research.
- Build the autocurricula, judges, harnesses and eval pipelines that turn open-ended research tasks into reliable reward signal.
- Run large-scale experiments on state-of-the-art hardware and analyse experiments to determine the next hypotheses to test, in collaboration with our AI agents.