Machine Learning Engineer at Pelica Health, a Y Combinator backed AI company building the operating system for value-based care. You will build and own production ML systems end to end: data modeling, feature engineering, training, evaluation, deployment, and monitoring. You will turn messy real-world healthcare data into reliable features for ranking, prioritization, and prediction problems, then deploy as reliable services or batch jobs with clear versioning, monitoring, and rollback. Looking for 3+ years building and deploying ML in production. Strong foundation in tabular ML, feature engineering, and ranking. Solid backend engineering skills. Bonus: healthcare data, LLMs in production (RAG, fine-tuning, structured prompting), or model monitoring tooling.
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Sourced 2026-09-28