[Remote] Staff Machine Learning Engineer

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. As a Staff Machine Learning Engineer, you will play a critical technical leadership role on Cohere Health’s Enterprise ML team, focusing on powering and scaling machine learning capabilities within their Intake product.

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 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)

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

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