Sr. AI/ML Engineer (Platform) - Lyra Health

Job Title: Sr. AI/ML Engineer (Platform)
Job Location: United States
Job Listing URL: https://jobs.lever.co/lyrahealth/3b4e12cb-88cc-4770-bd1e-97a1bed5b0d0
Job Description: About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, nearly 20 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

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