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About the role
Responsibilities
Training and deploying new state of the art models for parsing and interpreting unstructured data
Experimenting with novel techniques to improve LLM accuracy
Build data pipelines, evaluate model performance, and integrate models into the product
Working directly with the founders and customers to shape the product direction and engineering strategy
Requirements
2+ years of experience with training, fine tuning, and evaluating ML models used in production systems
Exceptional at Python or similar
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
Comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users
Nice-to-haves
Prior experience founding a company or building products at early stages
Ambitious and driven, and care a lot about doing great work with great people
Keep up with the latest developments in ML/AI
Skills
PythonComputer VisionVision Language ModelsStreamlitMachine LearningLLMsData Pipelines
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