# Research Engineer, Post-Training

Hiring organization: [Cognition AI](https://career.thegoodapps.co/organizations/cognition-ai)

Canonical page: https://career.thegoodapps.co/jobs/d3f0e5ea-a7cc-4d5d-8efb-2362ea722a3b

Listed on Cognition AI's own careers site. Applications go to them directly.

- Location: San Francisco, CA

## Summary

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._

## Skills named

Machine Learning, Reinforcement Learning

## 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

Apply on Cognition AI's site: https://jobs.ashbyhq.com/cognition/72d3db28-07d3-4c28-b49f-1bdf6e8e0f10/application