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Sr. ML Engineer; MLOps

Job in Philadelphia, Philadelphia County, Pennsylvania, 19117, USA
Listing for: Lyra Health, Inc.
Full Time position
Listed on 2026-09-02
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Sr. ML Engineer (MLOps)

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 looking for an experienced Senior ML Engineer who is eager to build the tooling and services necessary to deliver ML and generative AI based products that make a significant impact within the organization. The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members.

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
Responsibilities
  • Build tooling and services that power the machine learning and generative AI powered solutions in production
    • Training and inference platform services
    • The model evaluation metrics and testing framework
  • Build services that expose machine learning and AI based products
  • Deploy and manage various applications that power various components of the the AI/ML SDLC process
  • And of course, you will be coding every day!
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