Staff Machine Learning Engineer

Opportunity Overview: As a Staff Machine Learning Engineer, you will play a critical technical leadership role on Cohere Health’s Enterprise ML team, with a primary focus on powering and scaling machine learning capabilities within our Intake product. You will apply state-of-the-art machine learning, large language models, and agentic architectures to complex clinical and operational intake workflows, helping automate decision-making, improve data quality, and reduce administrative burden for clinical teams. In this role, you will partner closely with clinical operations, product, and engineering teams to uncover hidden drivers, inform strategic decisions, and deploy production-grade ML systems that directly impact how members and providers experience Cohere Health at the front door of care. This role blends deep hands-on technical work with strategic influence, mentorship, and ownership across multiple work streams, while contributing to broader Enterprise ML initiatives. What you’ll do: Design, build, and deploy advanced machine learning systems for retrieval, classification, prediction, and generative use cases. Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets. Lead model development across the ML lifecycle, including experimentation, training, evaluation, deployment, monitoring, and iter [... source excerpt omitted ...] , Data Science, Machine Learning, or a closely related quantitative field. 8+ years of professional experience in applied machine learning or data science,,including ownership of production ML systems. Deep expertise in Python and modern deep learning frameworks (e.g., PyTorch). Hands-on experience building and deploying deep learning models (e.g., transformers) for NLP tasks. Strong understanding of experimental design, model evaluation, and optimization for real-world production environments. Experience leveraging cloud platforms (AWS preferred) across the ML lifecycle (training, deployment, monitoring). Proven ability to collaborate with product, business, and clinical par [... source excerpt omitted ...] quired to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: Connect with Talent Acquisition for a Preliminary Phone Screening Meet your Hiring Manager! Case Study Behavioral Interview(s) *Subject to change About Cohere Health: Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutio