Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior ML Engineer (ML/AI)
United States
Open 4 months, first seen by us 147 days ago- Pay
Multiple pay statements — pay source
Experience working with highly sensitive data in a healthcare environment As a full-time Senior ML Engineer (ML/AI), 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. 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. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
Salary 143,000 – 197,000 USD per year "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.
Read the full posting- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingWe are looking for an experienced Senior AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform.
As a senior member of the team, you will bridge the gap between data science research and production-grade software engineering, while mentoring junior engineers and influencing our AI product roadmap.
Design, train, fine-tune, and evaluate deep learning and LLM models for core product features
Build and maintain ML pipelines for continuous training and real-time or batch inference
Integrate AI models into microservices with low latency and high availability
Architect data pipelines for preprocessing and ingesting large structured and unstructured datasets
Lead code reviews and mentor junior and mid-level engineers
From the employer’s posting
We are looking for an experienced Senior AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform. In this role, you won't just train models in a sandbox—you will architect robust, scalable production systems that integrate predictive analytics, Natural Language Processing (NLP), and Generative AI to solve complex, real-world problems.
As a senior member of the team, you will bridge the gap between data science research and production-grade software engineering, while mentoring junior engineers and influencing our AI product roadmap.
Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features.
Build, scale, and maintain robust ML pipelines for continuous training, evaluation, and real-time/batch inference using modern MLOps frameworks.
Collaborate with backend and frontend teams to integrate AI models into microservices, ensuring low latency, high availability, and optimal resource utilization.
Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of massive structured and unstructured datasets.
Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering.
What you’ll bring
All qualificationsCore experience
- 6+ years of experience deploying ML/AI solutions in production environments
- Excellent communication skills with a talent for building consensus and alignment
- Ability to write high-quality code in Python
- Experience building RAG (retrieval-augmented generation) based solutions
- Experience setting up and maintaining vector databases
Preferred experience
- 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
Qualification wording
6+ years of experience deploying ML/AI solutions in production environments
Excellent communication skills with a talent for building consensus and alignment
Ability to write high-quality code in Python
Experience building RAG (retrieval-augmented generation) based solutions
Experience setting up and maintaining vector databases
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
About Lyrahealth
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.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this posting 147 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 11, 2026147 days ago
- Recorded sightings
- 154
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Jun 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 147
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,418 similar postings that came down. Coming down is not always a hire.
Lyrahealth is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Kotlin
- Python
- AWS
- Docker
- Kubernetes
Where the posting names them
- Experience setting up and maintaining vector databases - Experience writing production code in Java/Kotlin - Experience building solutions on cloud infrastructure, particularly AWS
- 6+ years of experience deploying ML/AI solutions in production environments - Ability to write high-quality code in Python - Experience building RAG (retrieval-augmented generation) based solutions
- 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
- Experience defining and using Protobuf messages - Experience working with Docker and deploying applications to Kubernetes - Experience with relational and low-latency databases
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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 AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform. In this role, you won't just train models in a sandbox—you will architect robust, scalable production systems that integrate predictive analytics, Natural Language Processing (NLP), and Generative AI to solve complex, real-world problems.
As a senior member of the team, you will bridge the gap between data science research and production-grade software engineering, while mentoring junior engineers and influencing our AI product roadmap.
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
-
Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features.
-
Build, scale, and maintain robust ML pipelines for continuous training, evaluation, and real-time/batch inference using modern MLOps frameworks.
-
Collaborate with backend and frontend teams to integrate AI models into microservices, ensuring low latency, high availability, and optimal resource utilization.
-
Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of massive structured and unstructured datasets.
-
Implement rigorous evaluation frameworks for model alignment, bias mitigation, guardrailing, and cost/latency optimization (e.g., quantization, distillation).
-
Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering.
Qualifications
-
6+ years of experience deploying ML/AI solutions in production environments
-
Ability to write high-quality code in Python
-
Experience building RAG (retrieval-augmented generation) based solutions
-
Experience setting up and maintaining vector databases
-
A strong desire to work on ML/AI based products
-
A desire to learn new technologies quickly
-
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 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
-
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 Senior ML Engineer (ML/AI), 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. 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.
Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
*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 with up to 3% matching
*Monthly tech allowance
*We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!
We can’t wait to meet you.
Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
*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 with up to 3% matching
*Monthly tech allowance
*We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!
We can’t wait to meet you.
Salary
143,000 – 197,000 USD per year
"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. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience working with highly sensitive data in a healthcare environment As a full-time Senior ML Engineer (ML/AI), 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. 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. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
More source context
Salary 143,000 – 197,000 USD per year "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.
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.