Staff Machine Learning Engineer

Charlie Health is a rapidly growing organization that provides virtual behavioral health treatment. As a Staff Machine Learning Engineer, you will design, train, and evaluate machine learning models and AI systems to improve clinical outcomes. The team is based out of NYC and focuses on creating personalized, virtual care for clients with complex needs.

Requirements

• 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

Benefits

• Comprehensive benefits to all full-time, exempt employees
• Total target base compensation between $185,000-$247,500 per year
• Stock options and other Charlie Health-sponsored benefits