Design and deploy advanced machine learning solutions to tackle real-world healthcare challenges, using state-of-the-art models to provide insights that enhance clinical operations.
Opportunity Overview:
We are seeking innovative and highly driven Senior Machine Learning Engineers to design and deploy advanced machine learning solutions across retrieval, classification, and generative AI use cases. In this role, you will apply state-of-the-art language models and agentic architectures to complex clinical data, uncovering meaningful insights that directly support our product, leadership, and clinical operations teams.
You will work cross-functionally with product managers, clinicians, and technical leadership to translate real-world healthcare challenges into scalable, production-ready machine learning systems. This opportunity offers the chance to tackle a wide range of strategic and operational problems while building reliable, high-impact AI solutions in a mission-driven clinical environment.
What you’ll do:
What you’ll need:
Pay & Perks:
💻 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
🏝️ Up to 184 hours (23 days) of PTO per year + company holidays
👶 Up to 14 weeks of paid parental leave
🐶 Pet insurance
The salary range for this position is $135,000 to $175,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.
Interview Process*:
*Subject to change
About Cohere Health:
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. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
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Health Insurance
Medical, dental, vision, life, disability insurance, and Employee Assistance Program
Pet insurance
Paid Parental Leave
Up to 14 weeks of paid parental leave
Paid Time Off
Up to 184 hours (23 days) of PTO per year + company holidays
Cohere Health builds a clinical intelligence platform that leverages AI to optimize healthcare utilization management and prior authorization. Targeting healthcare providers and payers, it enhances collaboration to improve patient outcomes while significantly reducing costs, effectively managing over 12 million prior authorization requests each year. Innovative features like Cohere Validate™ further bolster transparency and efficiency in the healthcare ecosystem.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Senior Machine Learning Engineer Q&A's