Lyrahealth
Staff ML Engineer (ML/AI)
United States
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- Role family
- Data & ML
- Seniority
- Lead / management
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Sept 2026
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About Lyra Health
Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.
About the Role
We are seeking a Staff ML/AI Engineer to define and drive the architectural vision for Lyra’s machine learning and generative AI technology landscape. In this role, you will serve as a technical anchor across the engineering and data organizations—architecting enterprise-scale AI platforms, setting technical strategy for high-impact AI/ML initiatives, and ensuring our AI products operate with top-tier reliability, security, and medical precision.
The ideal candidate is a seasoned technical leader who excels at translating complex healthcare challenges into scalable platform solutions, building consensus across cross-functional leadership, and elevating the technical bar for the entire engineering organization.
Lyra is for you if you
Thrive on working with brilliant teammates to solve complex, meaningful problems
Are passionate about making a social impact and supporting people at their most challenging moments
Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers
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