CA
Listed on Cognition AI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves developing and refining the training methods that turn raw AI models into effective agents, focusing on post-training techniques like reinforcement learning from human feedback and evaluation design. It suits researchers and engineers with a track record in ML systems optimization who thrive in fast-moving, ambiguous environments where research and product development move together.
Our summary, not Cognition AI’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Track record advancing ML systems through post-training or alignment methods
- Strong fundamentals in probability, statistics, and ML theory
- Ability to distinguish real effects from noise and bugs in experimental data
- Experience with large-scale distributed training
- Systems-level thinking across training pipelines, data, and evaluation
Nice to have
- Publications at top venues
- Open-source impact
- PhD or equivalent advanced credential