Sr. AI/ML Engineer (Platform)

About Lyra HealthLyra 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 RoleWe 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

Protect yourself from recruitment fraudLyra Health does not use text or chat applications to conduct interviews or make job offers. We have a thoughtful and interactive interview process that primarily includes video-based interviews with our hiring teams. Communications will always be conducted from lyrahealth(dot)com or lyraclinical(dot)com domain names. Please disregard any other communications that do not include these domain names but appear to be from Lyra Recruiting.
"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and i