Machine Learning Engineer l

🇺🇸 United States
$119K - $140K Annual
Posted 10 months ago
Expires June 9, 2026

As a Machine Learning Engineer I at Cohere Health, you will join a dynamic team dedicated to enhancing healthcare delivery through advanced machine learning solutions. Cohere Health is a rapidly growing clinical intelligence company committed to improving patient care by leveraging cutting-edge AI technologies and deep clinical expertise.

In this role, you will be responsible for designing, developing, and deploying machine learning algorithms that extract and predict relevant clinical findings from both structured and unstructured healthcare data. Your day-to-day activities will include building reliable and scalable production machine learning systems, performing feature engineering, conducting statistical analyses, and collaborating with cross-functional teams to align machine learning solutions with Cohere Health's core objectives.

The ideal candidate will have 2-4 years of professional experience in machine learning, a Master's degree in computer science, machine learning, computational linguistics, statistics, mathematics, or a related field, and hands-on experience with modern language models, including context-engineering large language models or fine-tuning small language models. Proficiency in Python and familiarity with machine learning frameworks such as PyTorch are essential.

Cohere Health offers a fully remote opportunity with approximately 5% travel. The compensation for this position ranges from $119,000 to $140,000 annually, accompanied by a comprehensive benefits package that includes medical, dental, vision, life, and disability insurance, an Employee Assistance Program, a 401K retirement plan with company match, flexible spending and health savings accounts, flexible time off plus company holidays, up to 14 weeks of paid parental leave, and pet insurance.

Joining Cohere Health means becoming part of a team that values empathy, candor, kindness, and care. The company is deeply invested in fostering a supportive, growth-oriented environment that works for everyone, offering significant opportunities for professional development and career advancement in the rapidly evolving field of healthcare technology.

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