Staff Machine Learning Engineer

• 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
• 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

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Life & Disability Insurance
• Flexible Time Off & Holidays
• 401(K) Retirement Plan with Employer Match Program
• Wellness Coach App
• Parental Leave
• Learning & Development Opportunities- Hands-on experience building and deploying deep learning models (e.g., transformers) for NLP tasks
• Deep expertise in Python and modern deep learning frameworks (e.g., PyTorch)
• Master’s degree (PhD preferred) in Computer Science, Data Science, Machine Learning, or a closely related quantitative field
• Experience leveraging cloud platforms (AWS preferred) across the ML lifecycle (training, deployment, monitoring)
• Excellent written and verbal communication skills, with experience presenting to both technical and non-technical audiences
• Proven ability to collaborate with product, business, and clinical partners to drive data- informed decision-making
• Strong understanding of experimental design, model evaluation, and optimization for real-world production environments
• 8+ years of professional experience in applied machine learning or data science,including ownership of production ML systems- Connect with Talent Acquisition for a Preliminary Phone Screening
• Meet your Hiring Manager!
• Behavioral Interview(s)
• Case Study