Sr. Machine Learning Engineer; ML​/AI

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 outcomes in access, clinical effectiveness and cost efficiency. Lyra’s care model aims to help people recover faster and reduce annual healthcare claims costs.

Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining high-quality care and technology solutions.

We are looking for an experienced Senior ML Engineer who is eager to build tooling and services necessary to deliver ML and generative AI based products. The ideal candidate will take ownership of their work, lead cross-functional projects, and provide 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 is fully remote. Remote candidates must be physically located within the United States.

• 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 components of the AI/ML SDLC process
• Code daily

• 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

As a full-time Sr. Machine Learning Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to $197,000 a year. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location.

This role may also be eligible for discretionary bonuses.

• Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
• Lyra for Lyrians; coaching and therapy services
• Equity in the company through discretionary restricted stock units
• Competitive time off with pay policies including vacation, sick days, and company holidays
• Paid parental leave
• 401K retirement benefits
• Monthly tech allowance
• Well-being perks and activities, surprise swag, free food, regular community celebration

We can’t wait to meet you.

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. We may collect information including name, email address, gender identity, employment information, and phone number for recruiting purposes and to assess suitability, aptitude, skills, qualifications, and interests. We may also collect information about race, ethnicity, and sexual orientation, which is considered sensitive under CPRA and GDPR.

Providing this information is optional. To exercise data privacy rights, contact  For more information, see our Workforce Privacy Notice.

We may use AI tools to support parts of the hiring process. Final hiring decisions are made by humans. If you want more information about data processing, contact us.