AI Research Scientist

1. Do you have hands-on experience in reinforcement learning, post-training or frontier model training?
2. Have you worked as an Applied Researcher, Research Scientist or Research Lead within a strong AI research environment?
3. Have you trained models using approaches such as RL, preference optimisation or SFT and analysed the signals that actually improve capability?
4. Have you published notable research, released models, or delivered work that performed strongly on recognised benchmarks?
5. Can you operate across research and execution, turning unclear research problems into experiments, datasets, environments and measurable outcomes?
6. Are you looking to deepen your research ownership, or a senior researcher ready to lead and build a team?

If you answer yes to all of the above, then this confidential opportunity could be the one for you. In addition, while not essential, experience working at a frontier lab and / or a PhD with an RL focus are highly desirable.

This is a rare opportunity to join an early-stage AI company working directly on reinforcement learning, post-training and training data for frontier models. There are opportunities for both experienced Applied Researchers and senior research leaders, with scope ranging from hands-on experimentation through to owning the research roadmap and building a team.

The roles are hybrid (3 days per week in-office) and the salary ranges from $300,000 to $750,000 depending on level and experience