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

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!

6+ years of experience deploying ML/AI solutions in production environments


Ability to write high-quality code in Python


Experience building RESTful APIs


Experience defining and using Protobuf messages


Experience working with Docker and deploying applications to Kubernetes


Experience with relational and low-latency databases


Experience working with Celery


A strong desire to work on ML/AI based products


A desire to learn new technologies quickly


A love of building systems from scratch


A thoughtful approach to balancing quality and deadlines in fast-paced settings


Excellent communication skills with a talent for building consensus and alignment


Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward
Experience building RAG (retrieval-augmented generation) based solutions


Experience setting up and maintaining vector databases


Experience writing production code in Java/Kotlin


Experience building solutions on cloud infrastructure, particularly AWS


Experience working with highly sensitive data in a healthcare environment