Sr. AI/ML Engineer (Backend)

Posted Yesterday
Hiring Remotely in United States
Remote
142K-196K Annually
Mid level
Healthtech • HR Tech
We are revolutionizing how people find and receive mental health care.
The Role
The Sr. AI/ML Engineer will build backend infrastructure for generative AI products, manage applications in Kubernetes, work with databases for AI solutions, and collaborate with various stakeholders on requirements for AI/ML infrastructure.
Summary Generated by Built In

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, 17 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

At Lyra we believe that data-driven technology and decision making is a critical part of solving the thorny, complex challenges of provider quality and accessibility in a broken system. We are looking for an experienced Sr. AI/ML Engineer who is eager to build the backend infrastructure necessary to deliver generative AI based 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 generative AI powered solutions
  • Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions
  • Deploy and manage various applications in our Kubernetes clusters
  • Deploy and manage various databases and document stores for AI enabled solutions
  • Work with stakeholders on requirements and solutions for AI/ML backend infrastructure
  • And of course, you will be coding every day!

Qualifications

  • 4+ years of experience delivering production ready AI/ML products
  • Ability to write high-quality code in Python
  • Experience building RESTful APIs
  • Experience working with Docker and deploying applications to Kubernetes
  • Experience with relational and low-latency databases
  • Experience working with Celery
  • Experience with CI/CD pipelines, ideally in Github Actions
  • 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 building RAG (retrieval-augmented generation) based solutions
  • Experience setting up and maintaining vector databases
  • Experience evaluating context specific LLM responses
  • Experience working with tools such as Haystack or Langchain
  • Experience building solutions on cloud infrastructure, particularly AWS
  • Experience working with highly sensitive data in a healthcare environment

"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 inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact [email protected]. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

Top Skills

Python
The Company
HQ: Burlingame, CA
590 Employees
On-site Workplace
Year Founded: 2015

What We Do

Lyra Health’s mission is to transform mental health care through technology with a human touch — to get more patients the care they need when they need it. If you are an engineer or data scientist who would like to join in this effort, please reach out.

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