Lyra Health Logo

Lyra Health

Sr. AI/ML Engineer (Platform)

Posted 23 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The Sr. AI/ML Engineer will build scalable machine learning infrastructure, manage data systems, deploy applications, and collaborate across teams to support AI/ML product development.
The summary above was generated by AI

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

Protect yourself from recruitment fraud

Lyra 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 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

AWS
Aws Sagemaker
Docker
Java
Jenkins
Kubeflow
Kubernetes
Mlflow
Python
PyTorch
Restful Apis
Scala
Scikit-Learn
Xgboost

Similar Jobs

3 Days Ago
Remote
US
170K-200K
Mid level
170K-200K
Mid level
Healthtech • Other • Telehealth
As a Senior ML/AI Platform Engineer, you'll design and productionize AI/ML models, develop deployment frameworks, optimize ML pipelines, and mentor junior engineers.
Top Skills: AWSBash ScriptingCi/CdCloud ComputingDistributed ComputingDockerMachine LearningPlatform EngineeringSoftware EngineeringTerraform
16 Days Ago
Remote
12 Locations
107K-156K Annually
Senior level
107K-156K Annually
Senior level
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
As a Senior MLOps Engineer, you'll optimize MLOps practices, automate model deployment, ensure scalable infrastructure, and collaborate across teams to enhance Autodesk's AI/ML platform.
Top Skills: AnsibleAWSAzureBashCi/CdDockerElk StackGrafanaKubernetesMlopsNoSQLPrometheusPythonPyTorchSQLTensorFlowTerraform
An Hour Ago
Remote
Hybrid
8 Locations
95K-168K Annually
Mid level
95K-168K Annually
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Marketing Technology Solution Architect will manage and execute automated, data-driven marketing programs, translating business requirements into technical solutions. Responsibilities include designing marketing technology solutions, developing new campaigns, maintaining workflows, and providing QA testing support.

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account