Lead AI ML Engineer - Remote

Optum; San Francisco (CA); Remote; USD 106,000 - 195,000; Full time

Job summary

A leading healthcare technology organization seeks a Lead AI ML Engineer to drive the development of AI/ML solutions enhancing healthcare delivery. With a focus on innovative problem-solving in AI, this role offers the chance to transform health outcomes and improve system efficiency. The position requires extensive experience in machine learning, demonstrating a commitment to responsible AI application in healthcare and collaboration with diverse teams.

Benefits

Comprehensive benefits package

Incentive and recognition programs

Equity stock purchase

401k contribution

Qualifications

• 7+ years in machine learning and AI, with strong model development experience.
• Proficiency in Python and experience with Generative AI techniques.
• Experience with cloud-based AI/ML platforms like Azure ML or AWS.

Responsibilities

• Develop and deploy AI solutions to solve complex healthcare problems.
• Lead the integration of Generative AI applications in healthcare.
• Collaborate with cross-functional teams to implement AI solutions.

Skills

Machine Learning

AI

Python

Data Visualization

Generative AI

Statistical Methods

Education

Bachelor’s degree in Data Science, Machine Learning, AI or Computer Science

Master’s or PhD degree in a related field

Job description

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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, 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. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Optum AI is UnitedHealth Group’s enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.

Optum AI Team Members

• Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone
• Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
• Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world’s top universities
  
  

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities

We are seeking a highly skilled and innovative Lead AI/ML Engineer to join our healthcare team. The successful candidate will drive the development and application of advanced AI and machine learning solutions, including generative AI, to transform healthcare delivery. This individual contributor (IC) role requires deep theoretical understanding of traditional Machine Learning as well as modern AI algorithms and methods, full proficiency in Python (PyTorch is a plus), hands-on experience with the modern GenAI stack (RAG, agents, etc.), mastery of AI evaluation tools and techniques and a continual commitment to the responsible use of AI in a regulated domain as healthcare.

• AI/ML Solution Development: Design, develop, and deploy innovative AI and machine learning solutions to solve complex healthcare problems using our internal AI platform (UAIS)
• Generative AI Leadership: Leverage large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG) to enhance AI applications, while addressing their limitations and ensuring optimal performance
• Question-Answering Systems: Develop and evaluate robust question-answering pipelines that allow users to pose complex queries about medical or operational data and receive detailed, context-aware responses
• Agentic Framework Design: Implement (multi)agentic workflows where LLMs autonomously decompose complex questions, “reason”, interact with heterogeneous tools to perform actions and synthesize accurate answers across multiple sources
• Fine-tuning LLMs for Healthcare: Customize pre-trained language models to align with healthcare terminology and compliance requirements (e.g., HIPAA) for better performance on domain-specific tasks
• Educational Content: Oversee the creation of training materials and educational resources to enhance the understanding and adoption of AI/ML technologies within the organization
• Research & Innovation: Conduct cutting-edge research in AI/ML to identify opportunities for improving healthcare outcomes and operational efficiencies
• Collaboration: Partner with cross-functional teams, such as clinicians, data engineers, and product managers, to integrate AI solutions into existing workflows and systems
• Ethics and Compliance: Advocate for and implement principles of responsible AI use, ensuring adherence to regulations and ethical standards in healthcare
• Performance Monitoring: Establish KPIs for AI models and oversee their monitoring, evaluation, and continuous improvement to maintain accuracy and reliability
  
  

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

• Bachelor’s degree in Data Science, Machine Learning, AI, or Computer Science
• 7+ years of experience in machine learning and AI, with a strong track record in developing and deploying advanced machine learning models
• 7+ years of experience in Python, with hands-on experience in traditional machine learning, deep learning, and generative AI frameworks
• 5+ years of hands-on experience with statistical methods and data visualization tools
• 5+ years of hands-on experience with cloud-based AI/ML platforms such as Azure ML, AWS SageMaker, or Google AI
• 2+ years of experience in working with large language models (LLMs) and generative AI techniques, including prompt engineering and RAG
  
  

Preferred Qualifications

• Master’s or PhD degree in computer science, information technology, or a related field
• Experience working in regulated industries, with knowledge of ethical AI practices and compliance requirements
• Published patents or research or in the fields of AI, machine learning, or generative AI (in NeurIPS, ICML, ICLR, AISTATS, UAI, AAAI, KDD, CVPR, ICCV, ECCV, ACL or other computer science conferences and/or medical journals)
• Software tool development experience and adherence to SW development best practices: source control (git), packaging, documentation
• Experience in the healthcare industry, with familiarity in clinical workflows and datasets
• Proven track record of mentoring or educating teams on AI/ML technologies
• Proven solid problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders
• All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
  
  

The salary range for this role is $106,800 to $194,200 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers 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 UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.

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 believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care

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