As a Staff Machine Learning Engineer, you will play a critical technical leadership role on Cohere Health’s Enterprise ML team, powering and scaling machine learning capabilities within our Intake product.
Requirements
- 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.
Benefits
- Fully remote opportunity with about 5% travel
- Medical, dental, vision, life, disability insurance, and Employee Assistance Program
- 401K retirement plan with company match; flexible spending and health savings account
- Up to 184 hours (23 days) of PTO per year + company holidays
- Up to 14 weeks of paid parental leave
- Pet insurance