Research Intern (Summer 2026) at SID

SID trains AI that can retrieve and reason over any data source. Intelligence and skills are inconsequential without context. Today, AI is blind to information that is not on the internet. If we want AI to solve real problems, we need to change that. SID.ai is backed by Y Combinator, Canaan, Rebel, and General Catalyst – as well as a great set of angels. 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! Post-train reasoning into LLMs with GRPO and SFT. Design and iterate RL training environments for retrieval – unstructured, structured, web. Run small and large model experiments – yolo runs encouraged. Work on next-generation vision-first embedding models. 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. Not afraid of formulas – a technical major is an indicator of this (but isn't the only one). Thinks they can learn anything in 2 weeks, but isn't arrogant about it. Prefers .py to .tex Familiar with RL pipelines for language models Comfortable with torchru