Senior ML Engineer (ML/AI)
Lyra Health5 months ago
Base Salary
$143k - $197k/yr
Responsibilities
- Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational generative AI models, including LLMs and diffusion models.
- Build, scale, and maintain ML pipelines for continuous training, evaluation, and real-time or batch inference using modern MLOps frameworks.
- Integrate AI models into backend and frontend systems through scalable services with low latency, high availability, and efficient resource utilization.
- Architect data pipelines for preprocessing, vectorizing, and ingesting large structured and unstructured datasets.
- Implement evaluation frameworks for model alignment, bias mitigation, guardrailing, quantization, distillation, and cost and latency optimization.
- Provide technical leadership, conduct code reviews, and mentor junior and mid-level engineers.
Requirements
- At least 6 years of experience deploying ML/AI solutions in production environments.
- Ability to write high-quality Python code.
- Experience building retrieval-augmented generation (RAG) solutions.
- Experience setting up and maintaining vector databases.
- Strong interest in developing ML/AI-based products and learning new technologies quickly.
- Ability to balance quality and deadlines, communicate effectively, build consensus, organize work, and translate complex problems into clear priorities.
- Preferred experience defining and using Protobuf messages.
- Preferred experience with Docker, Kubernetes, relational and low-latency databases, Celery, Java or Kotlin, and AWS cloud infrastructure.
- Preferred experience working with highly sensitive data in a healthcare environment.
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.