Lyra Health

Sr. Machine Learning Engineer

Job Description

We are looking for an experienced Machine Learning Engineer 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. Please note - remote candidates must be physically located within the United States.




Responsibilities
  • Be part of a team of innovative ML engineers working on core pieces of our ML and AI models
  • Train and evaluate machine learning models for search, recommendation, and clinical decision support
  • Write production code to integrate ML models into our serving infrastructure
  • Create data systems to collect, clean, label, and store data used for features
  • Work with product and clinical on requirements and solutions for ML and AI solutions
  • Work alongside data scientists to analyze online experiments and incorporate actionable insights into Lyra’s modeling approaches.  

    • Qualifications
  • 4+ years of industry experience
  • Expertise in machine learning
  • Ability to write high-quality production code in Python
  • Experience delivering production-level machine learning models in an online setting
  • Strong communication skills and ability to generate consensus and buy-in within the team
  • A track record of making high return-on-investment decisions in fast-paced environments


    • Preferred Qualifications
  • Experience using Kubernetes
  • Experience with a JVM coding language (especially Kotlin)
  • Knowledge of Bayesian statistics or causal inference
  • Experience delivering production LLM-based applications a plus
  • Experience working with highly sensitive data in a healthcare environment

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