Deep learning transformed text and images but mostly skipped tables - the data behind most clinical trials, financial models, and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets…

Prior Labs is building a foundation-model approach for tabular data. They started with TabPFN; v2 was published in Nature and set a new state of the art on tabular benchmarks, and since release they have scaled capabilities ~20x and crossed 3M+ downloads and …

Tables power financial models, clinical trials, and scientific experiments, but deep learning has mostly ignored tabular structure. Prior Labs built TabPFN, a foundation model that understands tabular data (published in Nature, 3M+ downloads). The company pro…

F-1 STEM OPT through Feb 2028 (no sponsorship needed). 4 yrs production GenAI experience: AWS Bedrock, RAG (92% recall, HIPAA), LangGraph multi-agent copilots shipped to production, QLoRA/LLaMA 2 fine-tuning, LangChain/LlamaIndex, Python, Docker/K8s. Co-autho…

Prior Labs is building TabPFN, a foundation model for tabular data (published in Nature) and hiring across research and engineering to turn the model into production systems. Roles include ML Engineer (Training Infrastructure), Full Stack Engineer (ML Platfor…

Prior Labs (team of ~20) builds TabPFN, a foundation model for tabular data (published in Nature, 3M+ downloads, new SOTA). Hiring across engineering and research to build training infrastructure, real-time serving, developer platform, and production systems.…