Staff Machine Learning Engineer, Cohere Health
$225-245k
+ Bonus
Clinical intelligence company
Open for applications
Clinical intelligence company
501-1000 employees
Open for applications
$225-245k
+ Bonus
501-1000 employees
Company mission
To make the healthcare journey better for everyone.
Role
Who you are
- 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
What the job involves
- 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
Application process
- Connect with Talent Acquisition for a Preliminary Phone Screening
- Meet your Hiring Manager!
- Behavioral Interview(s)
- Case Study
Our take
Every year, billions of dollars are wasted in healthcare through overtreatment, failure of care coordination and administrative complexity. Cohere Health blames this on outdated processes, time-consuming manual systems and slow decision-making - which the company aims to combat with its clinical intelligence platform.
The platform automates processes to avoid care delays and friction between parties. It also provides analytics to help identify the most suitable physicians and care paths for the patient much faster and more easily. While there are other automation solutions for healthcare, Cohere stand outs by improving the whole patient journey, rather than just automating an administrative transaction.
Through partnerships with organizations like Humana and the American Academy of Orthopaedic Surgeons, Cohere Health serves millions of members and thousands of physicians. It has grown to be recognized as a top player in the space, as it continues to expand its offering and stands to benefit from the rising interest in clinical intelligence.
Steph
Company Specialist at Welcome to the Jungle
Insights
35% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2025
$90m
SERIES C
Feb 2024
$50m
LATE VC
Total funding: $196m
Company 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
Company HQ
West End, Boston, MA
Leadership
Siva Namasivayam
(CEO)Worked as a Software Engineer for Intel before working at Fidelity and spending 4 years as a Gartner Director of Consulting. They were CEO of SCIO Health Analytics before co-founding Cohere Health.
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