# Research, Post-Training Evals at Thinking Machines

- Company: Thinking Machines
- What the company does: Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
- Company website: https://thinkingmachines.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: Remote
- Pay: $350K to $475K base salary per year (USD)
- Posted: 2026-08-27
- Apply by: 2026-10-11
- Apply: https://jobs.ashbyhq.com/thinkingmachines/602f2a99-34eb-4fde-9eec-b4945ee4aab6
- Page: https://www.1752.vc/careers/jobs/thinking-machines-research-post-training-evals/

## About the role

We’re looking for a researcher to help develop reliable model evaluations for research signals. This role spans evaluation creation, usability, auditing, and efficiency. You’ll work closely with researchers and engineers across post-training and the broader research organization. Depending on your interests and experience, you may focus on one area or work across several of these problems.

## What they're looking for

- Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding
- Experience designing, building, or analyzing evaluations, benchmarks, datasets, graders, or other measurement systems
- Strong written and verbal communication skills, with the ability to collaborate effectively across research and engineering teams
- Preferred qualifications — we encourage you to apply if you meet some but not all of these:
- Experience with LLMs, post-training, reinforcement learning, or agentic systems
- Experience with evaluation auditing, human evaluations, LLM-judges, or open-ended task evaluation

Tags: Research