Sr. Machine Learning Engineer (ML/AI) - Lyra Health

Job Title: Sr. Machine Learning Engineer (ML/AI)
Job Location: United States
Job Listing URL: https://jobs.lever.co/lyrahealth/c48f394e-a09f-4d75-aeed-16e538c368b5
Job Description: About Lyra Health

Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 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

This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Remote candidates must be physically located within the United States.
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!
Qualifications
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
Preferred Qualifications
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