Machine Learning Engineer

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.

Skills

• Python, AWS, machine learning, data modeling, data pipelines, ranking models, LLMs, RAG

Experience requirements

• 3+ years building and deploying ML in production

Applicant location requirements

• US