Staff Machine Learning Engineer
Posted May 17, 2026
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 iteration. - Develop and oversee scalable, reusable codebases and ML infrastructure to support production use cases. - Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions. - Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business outcomes. - Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership. - Serve as a technical mentor and advisor to junior engineers, providing guidance on ML best practices, experimentation, and system design. - Contribute as an expert advisor across multiple initiatives, helping shape ML strategy and performance tracking across the organization.