Senior Machine Learning Engineer

Join our growing ML team as a Senior Machine Learning Engineer. In this role, you will design, build, and scale machine learning systems that improve patient care and operational performance. You will own the end-to-end development of production ML systems, integrate them into healthcare workflows, and deploy reliable, interpretable, and monitored models. You will work alongside ML scientists, clinical experts, and product engineers to translate clinical questions into systems that ship and hold up over time. This is an opportunity to make a significant impact in the field of applied AI in healthcare.

• Design, build, and deploy production ML systems for clinical decision support and operational insight, applying deep expertise from your area of specialty.
• Develop ML pipelines that integrate structured clinical or EHR data with outputs from computer vision models to power downstream applications.
• Ensure the calibration, robustness, and interpretability of deployed models, including clear clinician-facing explanations where relevant.
• Exceptional critical thinking and problem decomposition. Able to turn ambiguous clinical or business questions into measurable hypotheses, design sound experiments, and reason clearly about trade-offs between accuracy, reliability, interpretability, and operational impact
• Excellent communication skills and a collaborative, product-oriented mindset
• Strong development skills in Python with testing, CI/CD, and collaborative coding practices
• 4+ years building and deploying machine learning systems in production, ideally with real-world or clinical data
• Familiarity with production ML practices, including monitoring data drift, performance over time, and model health
• Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack
• If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!
• Background in multimodal or stacked models, especially combining CV outputs with tabular data
• Familiarity with survival analysis, time-series, or longitudinal modeling
• M.S. or Ph.D. in a relevant technical field
• Experience with healthcare data or regulated ML systems
• Open-source contributions or published work in applied ML
• Prior leadership or mentorship experience