Jobs
Location
San Francisco, CA
Track
ML Engineer
Salary
$99K–$176K / yr
Posted
October 9, 2026
Source
Indeed

Job description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.

Optum is a global organization that delivers care, aided by technology, to help millions of people live healthier lives. 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. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.

As an AI/ML Engineer at Optum AI, you'll be designing and developing AI systems to improve patient care.

About the AI Platform Team

We often deliver the entire solution, from healthcare data ingest, generative agents and AI models deployment, data extraction, agent/model results and analytics, to the applications used for reviewing clinical data and AI results. Our current projects involve both leveraging and building cutting edge Generative AI and Agentic AI technologies from scratch.

We have the data and resources to make an impact on a scale. When our solutions are deployed, they benefit millions of people.

We are a globally distributed and diverse team with the shared passion to improve patient outcomes, improve healthcare operations, and streamline payments.

We pay attention to the details to make sure we deliver quality, the first time.

You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office for a minimum of four days per week.

Primary

Responsibilities

  • Contribute to the design and hands-on implementation of the AI/ML platform that enables Optum to derive information from patient data in a scalable, reliable, and cost-effective manner
  • Partner with product managers, data scientists, prompt designers, engineers, and business stakeholders to translate business requirements into scalable AI systems
  • Leverage AI assisted tools for design, implementation, code reviews, and testing
  • Ensure the delivery of high-quality, maintainable, and efficient code and specifications.
  • Help drive architectural decisions and contribute to our long-term technical strategy for AI/ML systems
  • Partner with cross-functional teams to define scope, success criteria, and delivery milestones, then execute with solid engineering rigor through CI/CD, environment readiness, and quality gates to deliver on schedule without compromising reliability or maintainability
  • Stay ahead of the curve on emerging AI/ML technologies, tools, and research, and evaluate their applicability to business problems. Embrace and promote a culture of innovation through rapid iteration, experimentation and data driven decision-making
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required

Qualifications

  • 3+ years of AI/ML experience
  • 3+ years of experience in Python programming
  • 2+ years of hands-on experience in modern cloud infrastructure (AWS, Azure or Google. GCP is a plus)
  • 1+ years of hands-on experience of CI/CD principles
  • 1+ years of experience leveraging Large Language Models (LLMs)

Preferred

Qualifications

  • Bachelor's degree in Computer Science or related field, or 2+ years of equivalent experience
  • Proven track record of engaging with customers to design and deliver at least one complete AI product, from ideation to product release
  • Proven solid knowledge and hands-on experience of CI/CD principles
  • Proficient with GitHub and GitHub Actions, artifact and dependency management, containerization using Docker, and infrastructure‑as‑code using Terraform to enable reliable, repeatable, and secure deployments
  • Experience with the challenges of delivering and monitoring LLM based cloud systems into production
  • Experience in Healthcare
  • Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences
  • Demonstrated bias for action
  • Demonstrated passion for innovation and staying current with emerging AI/ML trends
  • All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $98,500 to $176,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We be

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