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Senior Machine Learning Engineer (MLOps)

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Onsite

Senior Machine Learning Engineer (MLOps)

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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