Machine Learning Engineer

Production engineering · Evidence for this classification:

but actively jumps in to fix them. Experience: You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems Language/Skills: You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset. Approach: 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. The core work will include: 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