Staff Machine Learning Engineer

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. 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. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you.

Responsibilities

• Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact
• Lead ambiguous, high-impact initiatives from start to finish, shaping how ML and AI systems improve clinical outcomes across the product 
• Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams
• Establish best practices for ML and generative AI model evaluation, retraining, and experimentation to create clinically responsible systems  
• Utilize ML infrastructure to serve model inferences in real time using live data streams
• Provide technical mentorship and help raise the quality bar across the organization
• Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing

Requirements

• A bachelor’s degree in a technical field, plus 8+ years of professional experience developing and delivering production software, including machine learning models; OR
• A master’s degree in a technical field, plus 6+ years of professional experience developing and delivering production software, including machine learning models
• A doctoral degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models
• Experience designing and operating production ML systems at scale, including experimentation, deployment, and monitoring
• 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
• This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $185,000-$247,500 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.