Note: The job is a remote job and is open to candidates in USA. 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. The Staff Machine Learning Engineer will lead technical initiatives on the Enterprise ML team, focusing on developing and scaling machine learning capabilities to enhance clinical workflows and decision-making.
Responsibilities
- 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
Skills
- Master's degree in Computer Science, 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
- Proven ability to collaborate with product, business, and clinical partners to drive data-informed decision-making
- Excellent written and verbal communication skills, with experience presenting to both technical and non-technical audiences
- PhD preferred in Computer Science, Data Science, Machine Learning, or a closely related quantitative field
- AWS preferred experience leveraging cloud platforms across the ML lifecycle
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
- Flexible Time Off + Company Holidays
- Up to 14 weeks of paid parental leave
- Pet insurance
Company Overview
Company H1B Sponsorship