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Upsilon Holdings is offering an internship focused on ML evaluation, data prep, prompt/retrieval experiments, and dashboards to understand model behavior in real usage. You’ll run evaluation harnesses, support experiments, and translate ML results into product decisions, while improving pipeline reliability with logging and documentation.
The role welcomes curiosity and detail-oriented learners. Required: Python basics, data handling, curiosity about model evaluation, and strong attention to
Role overview
You’ll work on data preparation, prompt/retrieval experiments, benchmark runs, and dashboards that help us understand model behavior in real usage. This is practical ML: measurable, iterative, and tied to product outcomes.
Responsibilities