About the role
SID.ai is a research lab for search. We train models that can retrieve and reason over any data source. Backed by YC, General Catalyst, Canaan, Rebel, as well as Jeff Dean and AI researchers from Anthropic, Deepmind, OpenAI, MIT, Cognition, Cursor, Applied Compute, Prime Intellect, Standard Intelligence.
If you don't match all of the requirements, we still encourage you to apply. We care much more about potential and the rate of improvement than achievements. We train and invest in our people!
Responsibilities
- Train models with GRPO
- Design and iterate RL training environments for retrieval – unstructured, structured, web.
- Own the entire training pipeline: from training data curation to wandb.
- Run small and large model experiments – yolo runs encouraged.
- Work on next-generation vision-first embedding models.
- Lead discussions on research – reading group.
- Work directly with the ex-research CEO.
- Future: Manage a team of research engineers.
Perks
- Non-bureaucratic compute approvals: If you want to train a model, you can. We've budgeted 100,000 H100 hours for this role. If things go well, this number will be higher.
- Work on frontier methods that scale. No weird old-school AI.
- Everyone on the team can code – this might change in the future of course.
- Competitive compensation with generous early-stage equity, full medical and vision.
