Staff Machine Learning Engineer

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but often face barriers to care. Charlie Health exists to change that. Our mission is to connect the world to life‑saving behavioral health treatment, delivering personalized, virtual care rooted in connection between clients, clinicians, care teams, loved ones, and supportive communities.

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. 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. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment.

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 plus 6+ years; OR a doctoral degree plus 4+ years.
• 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 offers comprehensive benefits to all full‑time, exempt employees. Details are available on the company’s benefits page.

Pay

The total target base compensation for this role is between $175,000 – $255,000 per year at the commencement of employment. Pay is individualized based on location, experience, expertise, internal pay equity, and other relevant business considerations. Total compensation may also include stock options and other Charlie Health‑sponsored benefits.

Schedule

This position requires four days per week in the New York City office (Flatiron District).

Values

• Connection: Care deeply & inspire hope.
• Congruence: Stay curious & heed the evidence.
• Commitment: Act with urgency & don’t give up.