Sr. ML Engineer (MLOps)
Lyra Health3 months ago
Base Salary
$143k - $197k/yr
Responsibilities
- Build tooling and services that power machine learning and generative AI solutions in production.
- Develop training and inference platform services.
- Define model evaluation metrics and build testing frameworks.
- Build services that expose machine learning and AI-based products.
- Deploy and manage applications supporting components of the AI/ML software development lifecycle.
- Write production code daily and provide guidance and mentorship to team members.
- Lead cross-functional projects and collaborate with clinical, technical, analytics, and product stakeholders.
Requirements
- At least 6 years of experience deploying ML/AI solutions in production environments.
- Ability to write high-quality Python code.
- Experience building RESTful APIs and defining and using Protobuf messages.
- Experience with Docker and deploying applications to Kubernetes.
- Experience with relational and low-latency databases and Celery.
- Strong interest in building ML/AI products and systems from scratch.
- Preferred experience building retrieval-augmented generation solutions and maintaining vector databases.
- Preferred experience writing production code in Java or Kotlin.
- Preferred experience building solutions on AWS or other cloud infrastructure.
- Preferred experience working with highly sensitive healthcare data.
- Strong communication, consensus-building, organizational, prioritization, and cross-functional collaboration skills.
Categories
About Lyra Health
Lyra Health provides workforce mental health benefits for employers and health plans, combining an AI-powered platform with a vetted provider network, coaching, psychotherapy, and medication management. It sells enterprise contracts that integrate digital tools, care navigation, and outcomes monitoring to deliver evidence-based care and track results. Founded in 2015 and headquartered in Burlingame, California, the company is privately held and supports populations globally through employer and health-plan partnerships.