Lyra Health

Sr. AI/ML Engineer (Platform)

Job Description

About the Role
We are looking for an experienced Sr. AI/ML Engineer who is eager to build the platform needed to train, deploy and monitor our machine learning products and who cares about impact, ownership, cross-functional projects, and mentorship. 

This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Remote candidates must be physically located within the United States.



Lyra is for you if you:
  • Want to work with brilliant people solving hard problems
  • Have a passion for social impact and helping people when they are most vulnerable
  • Like to collaborate across teams with engineers, data scientists, and product managers

    • Responsibilities
  • Be part of a team working on building out scalable infrastructure to train, evaluate, deploy, perform inference and monitor our ML models
  • Create data systems to collect, clean, label and store data used for model features
  • Deploy and manage various applications in our Kubernetes clusters
  • Work with stakeholders on requirements and solutions for ML infrastructure
  • And of course, you will be coding every day!

    • Qualifications
  • 4+ years of industry experience building a production level ML platform
  • Ability to write high-quality code in Python, Java or Scala
  • Experience building RESTful APIs
  • Experience working with Docker and deploying applications to Kubernetes
  • Experience with CI/CD pipelines, ideally in Jenkins
  • Experience with relational and low-latency databases
  • Experience with transforming data in both batch and streaming contexts
  • A desire to learn new technologies quickly
  • A love of building systems from scratch
  • A track record of making quality vs. deadline tradeoffs in fast-paced environments
  • Strong communication skills and ability to generate consensus and buy-in within the team
  • Organizational skills and the ability to simplify complex problems and prioritize what matters most for the sake of the team and the business

    • Preferred Qualifications
  • Experience working with ML frameworks such as Pytorch, SciKit-learn, XGboost
  • Experience working with ML Ops tools such as MLFlow, Kubeflow, AWS Sagemaker
  • Experience building solutions on cloud infrastructure, particularly AWS
  • Experience building generative AI based products
  • Experience working with highly sensitive data in a healthcare environment

    • Apply Now
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