The Sr. Machine Learning Engineer will build tooling and services for ML and generative AI solutions, focusing on deployment, evaluation metrics, and cross-functional collaboration.
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 is fully remote. 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
"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 [email protected]. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
Top Skills
AWS
Celery
Docker
Java
Kotlin
Kubernetes
Protobuf
Python
Restful Apis
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design, development, deployment, and operationalization of AI/ML solutions (including LLMs and Generative AI) for healthcare. Provide technical leadership on chatbots, conversational AI, and NLP, ensure responsible AI and production reliability, and mentor engineering teams.
Top Skills:
Llms,Generative Ai,Machine Learning,Cloud Hosting,Chatbots,Conversational Ai,Nlp,Logging,Monitoring,Performance Tuning,Disaster Recovery,Production Operations
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design, build, and productionize AI/GenAI and ML voice-bot solutions across cloud platforms. Own end-to-end delivery including data pipelines, models, deployment, monitoring, and mentoring a small team while partnering with cross-functional stakeholders.
Top Skills:
Python,Microsoft Azure,Aws,Google Cloud Platform (Gcp),Terraform,Github,Github Actions,Ci/Cd,Llms,Genai,Agentic Frameworks
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design, training, and deployment of ML and generative AI/LLM solutions for clinical decision support. Translate business needs into production models, work with large-scale healthcare data and distributed computing, implement scalable MLOps pipelines, and collaborate with engineering and stakeholders to integrate AI into products.
Top Skills:
Python,Java,C#,Aws,Azure,Gcp,Tensorflow,Pytorch,Langchain,Langgraph,Semantic Kernel,Nlp,Nlu,Computer Vision,Deep Learning,Generative Ai,Llms,Mlops,Distributed Computing Frameworks
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
