L
Lyra Health
Senior Machine Learning Engineer (MLOps)
Skills
KotlinDockerPythonJavaMachine LearningAIAWSKubernetes
2 months ago
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Important information
Contract type:
Permanent
Salary:
$143,000 – $197,000 / year
Location:
United States
Work mode:
Onsite
Published on:
13 August 2026
What they need
- 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
- 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!
Benefits
- Full access to Lyra’s mental health services for employees and their eligible dependents—at no charge
- Medical, dental, and vision benefits, and free monthly membership to One Medical
- Four weeks of vacation and paid holidays
- Monthly tech stipend
- 401k and equity options- 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
- Thrive on working with brilliant teammates to solve complex, meaningful problems
- Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers
- Are passionate about making a social impact and supporting people at their most challenging moments
- 6+ years of experience deploying ML/AI solutions in production environments
- A thoughtful approach to balancing quality and deadlines in fast-paced settings
- Ability to write high-quality code in Python
- Experience with relational and low-latency databases
- Experience building RESTful APIs
- Excellent communication skills with a talent for building consensus and alignment
- Experience working with Docker and deploying applications to Kubernetes
- Experience defining and using Protobuf messages
- Experience working with Celery
- A love of building systems from scratch
- A strong desire to work on ML/AI based products
- A desire to learn new technologies quickly
- 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
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