# Research, Mid Training at Thinking Machines

- Company: Thinking Machines
- Status: Open
- Workplace: Hybrid
- Location: San Francisco · Remote
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Posted: 2026-09-21
- Skills: Research
- Apply: https://jobs.ashbyhq.com/thinkingmachines/f9c03f58-c968-492c-b40c-fbc46a38ce05

## Description

ABOUT THINKING MACHINES

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.




ABOUT THE ROLE

Mid-training is a step between pre-training and post-training, where we take a base model and train it into the foundation for reasoning. This role owns the late-stage training responsibility that shape what our models are fundamentally capable of, including things like synthetic data strategies, the data mix, quality uplift, context extension and capabilities across coding, math, reasoning, and so on.

This role blends fundamental research and practical engineering, as we do not distinguish between the two internally. It's an excellent fit for someone comfortable working across the boundary of pre-training and post-training, and who wants to shape what our models can do at their core.



What You’ll Do

 - Own the data. Decide what the model needs to see for each capability and each area of knowledge, then source, curate, and synthesize it. Build the pipelines that filter, deduplicate, verify, and rewrite raw material into training-grade datasets. You'll be responsible for producing data that actually moves the model, and for making sure it reflects how people really use these models, not just clean benchmark-style tasks.

 - Improve what the model knows. Design and measure interventions that i

More Thinking Machines roles: https://deviantjobs.com/companies/thinking-machines