Sr. AI/ML Infrastructure Engineer

Lyra transforms mental health care through technology, helping employees of Fortune 500 companies feel emotionally healthy at work and home.
$159,000 - $219,000
Machine Learning
Senior Software Engineer
Remote
5+ years of experience
Healthcare · AI

Description For Sr. AI/ML Infrastructure Engineer

Lyra Health, a transformative mental health care company that has raised over $900M in funding, is seeking a Senior AI/ML Infrastructure Engineer to join their team. The role focuses on building and maintaining the crucial infrastructure that powers their AI/ML capabilities, directly impacting the mental health care delivery to millions of users. The position offers the flexibility of remote work within the United States or hybrid options at their Burlingame, CA headquarters.

The ideal candidate will be instrumental in developing scalable ML infrastructure, working with cutting-edge technologies including LLMs, and building robust data systems. This role combines technical expertise in ML operations with the opportunity to make a meaningful social impact in mental health care. The position offers competitive compensation ranging from $159,000 to $219,000, along with comprehensive benefits including healthcare, equity, and 401(k).

Working at Lyra means joining a mission-driven company that serves industry leaders like Morgan Stanley, Uber, and Amgen. The role requires collaboration across teams, strong technical skills in Python/Java/Scala, and experience with modern ML infrastructure. This is an opportunity to work with brilliant colleagues while solving complex challenges in provider quality and accessibility, ultimately helping people feel better, faster.

Last updated 2 days ago

Responsibilities For Sr. AI/ML Infrastructure Engineer

  • Build scalable infrastructure to train, evaluate, deploy, perform inference and monitor ML models
  • Build, deploy and maintain generative AI services & applications
  • Create data systems to collect, clean, label and store data for model features
  • Deploy and manage applications in Kubernetes clusters
  • Collaborate with Machine Learning engineers on experimentation platforms and training frameworks
  • Work with stakeholders on ML infrastructure requirements and solutions
  • Daily coding tasks

Requirements For Sr. AI/ML Infrastructure Engineer

Python
Java
Scala
Kubernetes
  • 5+ years of industry experience building production level ML platforms and infrastructure
  • Ability to write high-quality code in Python, Java or Scala
  • Experience building production ready RESTful APIs
  • Strong understanding of ML models & principles
  • Experience working with containers and Kubernetes
  • Experience with LLMs and supporting infrastructure
  • Experience with relational and low-latency databases
  • Experience with batch and streaming data transformation
  • Strong communication skills
  • Project management and organizational skills

Benefits For Sr. AI/ML Infrastructure Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Equity
  • Comprehensive healthcare coverage (medical, dental, vision)
  • FSA/HSA
  • Life and disability insurances
  • Lyra coaching and therapy services
  • Equity (RSUs)
  • Competitive time off policies
  • Paid parental leave
  • 401K retirement benefits
  • Monthly tech allowance

Interested in this job?

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