Staff Machine Learning Engineer at Charlie Health

This is an ideal role for an experienced machine learning leader who wants to apply AI to real-world clinical outcomes. While titled as "Mid-level" in the metadata, the requirements are senior-level: you’ll need 4–8+ years of experience (depending on your degree) building and scaling production software and ML systems. This role demands a mix of technical rigor and the ability to navigate "messy" datasets to build provider-matching systems and clinical decision tools. The compensation is highly competitive ($185k – $247.5k plus equity) for those looking to work in the heart of NYC. You’ll be joining a Mission-driven team in the Flatiron District with a heavy focus on the latest tech, including agentic AI workflows and real-time model inference. Note the strict on-site requirement: you must be in the office four days a week. **You might be a good fit if you...** * Have extensive experience deploying and monitoring ML models in production at scale. * Are proficient in SQL and comfortable navigating complex transactional and analytical databases. * Enjoy transforming ambiguous healthcare problems into structured, data-driven solutions. * Prefer a collaborative, in-person team culture over a remote-first environment.