Senior Machine Learning Engineer

Charlie Health is a rapidly growing organization that delivers personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. The Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs.

Requirements

• A bachelor’s degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models; OR A master’s or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models.
• Expertise in Python for ML (pandas, sklearn, etc.) and backend server development (FastAPI)
• Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets
• Experience developing agentic AI workflows is a plus
• Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations
• Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun

Benefits

• Comprehensive benefits
• Stock options
• Charlie Health-sponsored benefits