Train and deploy new state of the art models for parsing and interpreting unstructured data
Experiment with novel techniques to improve LLM accuracy
Build data pipelines, evaluate model performance, and integrate models into the product
Work directly with the founders and customers to shape the product direction and engineering strategy
You have a high bar for quality and don’t rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.
You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems
You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs
Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.
A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users
Prior experience founding a company or building products at early stages
You are ambitious and driven, and care a lot about doing great work with great people
You keep up with the latest developments in ML/AI