Cohere Health · 8 hours ago
Staff Machine Learning Engineer
Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options. As a Staff Machine Learning Engineer, you will lead technical initiatives on the Enterprise ML team, focusing on developing and deploying machine learning systems to enhance clinical workflows and decision-making processes.
Consumer SoftwareHealth CareSaaSSoftware
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
Qualification
Required
Master's degree (PhD preferred) 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
Experience leveraging cloud platforms (AWS preferred) across the ML lifecycle (training, deployment, monitoring)
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
Benefits
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
Company
Cohere Health
Cohere Health is a SaaS company that focuses on improving the efficiency and effectiveness of healthcare delivery.
H1B Sponsorship
Cohere Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (27)
2024 (21)
2023 (18)
2022 (10)
2021 (7)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$186.1MKey Investors
Temasek HoldingsDeerfield ManagementPolaris Partners
2025-05-14Series C· $90M
2024-02-01Series C· $50M
2021-04-13Series B· $36.1M
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