Job Description
Cohere Health is a company focused on delivering AI-powered solutions to improve healthcare processes. They are seeking a Machine Learning Engineer I to design, deploy, and monitor machine learning models that enhance clinical practices. Responsibilities Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models Build reliable and scalable production machine learning systems Work on feature engineering, statistical analysis, developing novel ML techniques, understanding performance, and improving model run time Work cross-functionally across diverse stakeholders, including product managers, statisticians, clinicians, and clinical analysts Skills 1-3 years full time professional experience in ML MS in computer science, machine learning, computational linguistics, statistics, mathematics or similar field Hands on experience building with modern language models, including context-engineering LLMs or fine-tuning SLMs Understanding of scientific best practice in experimental design and can independently perform data collection, measurement, and interpretation of results Experience configuring, training, evaluating, deploying, and maintaining models in a production setting
Advanced proficiency in Python and familiarity with ML frameworks such as PyTorch Benefits Medical, dental, vision, life, disability insurance, and Employee Assistance Program 401K retirement plan with company match; flexible spending and health savings account Up to 184 hours (23 days) of PTO per year + company holidays Up to 14 weeks of paid parental leave Pet insurance Company Overview Cohere Health is a SaaS company that focuses on improving the efficiency and effectiveness of healthcare delivery.
It was founded in 2019, and is headquartered in Boston, Massachusetts, USA, with a workforce of 501-1000 employees. Its website is Company H1B Sponsorship Cohere Health has a track record of offering H1B sponsorships, with 27 in 2025, 21 in 2024, 18 in 2023, 10 in 2022, 7 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.