Senior Machine Learning Engineer

<div class="content-intro"><h3>&nbsp;</h3> <h3><strong>Why Charlie Health?</strong></h3> <p>Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.</p> <p>Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.</p> <p>As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.</p></div><p><strong>About the Role</strong></p> <p>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.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact</li> <li>Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams</li> <li>Pioneer new approaches to measure and validate outcomes impact through advanced experimentation and causal inference techniques</li> <li>Utilize ML infrastructure to serve model inferences in real time using live data streams</li> <li>Write production code within a backend Python monolith to invoke ML predictions.</li> <li>Foster a culture of collaboration and learning across engineering, product, and design through mento