UnitedHealth Group
Senior AI ML Engineer - Remote
San Francisco, California, USA · Senior · Full-time
Sponsorship not specified$120k-$215kDetected 47 days ago
PythonFull-Stack DevelopmentCode ReviewGitAWSGCPAzureCloud PlatformsDockerTerraformCI/CDGitHub ActionsMachine LearningLLMsAgentic AIA/B TestingResearchCommunication
About the role
- Come make an impact on the communities we serve as you help us advance health optimization on a global scale.
- We have the data and resources to make an impact on a scale.
- When our solutions are deployed, they benefit millions of people.
Responsibilities
- Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives.
- As a lead AI/ML Engineer at Optum AI, you'll be designing and developing AI systems to improve patient care.
- Our current projects involve both leveraging and building cutting edge Generative AI and Agentic AI technologies from scratch.
Nice to have
- We comply with all minimum wage laws as applicable.
- Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected.
- Job posting may come down early due to volume of applicants.
- UnitedHealth Group is a drug - free workplace.
- Candidates are required to pass a drug test before beginning employment. #OptumTechPJ
Compensation
- $120k-$215k
Benefits
- The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.
- Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.
- The work you do with our team will directly improve health outcomes by connecting people with the care, benefits, data and resources they need to feel their best.
Equal opportunity
- Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.
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This listing is sourced directly from UnitedHealth Group's careers page and normalized into a canonical job model.