Principal AI/ML Engineer - Remote

· Remote

Location

Remote

Type

Full Time

Job Description

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Principal AI/ML Engineer - Remote

Reposted 16 Hours Ago
Hiring Remotely in Bellevue WA USA
In-Office or Remote
135K-231K Annually
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Lead end-to-end AI/ML projects: research prototype optimize and productionize ML and LLM solutions for healthcare. Mentor and recruit teams run experiments and A/B tests present results to leadership and pursue AI research and IP.
Summary Generated by Built In
Requisition Number: 2340563
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? 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.
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 a minimum of four days per week.
Primary Responsibilities:
  • Drive end-to-end Machine Learning projects that have a high degree of ambiguity scale and complexity
  • Build Machine Learning models perform proof-of-concept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing the ML models
  • Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value
  • Run A/B experiments gather data and perform statistical analysis
  • Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving
  • Research and implement innovative machine learning approaches
  • Mentor and help recruit AI/ML scientists and machine learning engineers to the team
  • Present findings and insights to senior leadership and at internal venues
  • Be the thought leader in cutting-edge AI research and proactively pursue IP submissions

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:
  • PhD in AI computer science data science applied math or related technical fields
  • 10+ years of industry/academic experience in machine learning or a related field
  • 5+ years of building models for business application experience
  • 5+ years leading technical teams
  • Experienced mathematical background especially in optimization theory stochastic algorithms and/or numerical methods
  • Experience with state-of-the-art algorithms and topologies including but not limited to: GNNs GANs Transformers deep and wide SSMs LLMs among others
  • Experience with LLM alignment (DPO PPO among others)
  • Solid Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow
  • In-depth knowledge in Generative AI technology and Large Language Models (LLM) with focus in LLM optimization
  • Advanced understanding of Deep Learning with applications in NLP and multimodal modeling

Preferred Qualifications:
  • Experience in AI/ML in the healthcare and or Fintech sector
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Experience in establishing AI/ML best practices standards and ethics

*All employees working remotely 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 $134600 to $230800 annually based on full-time employment. 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.
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.

Top Skills

Deep Learning
Dpo
Gans
Generative Ai
Gnns
Large Language Models (Llms)
Multimodal
Nlp
Ppo
Python
PyTorch
Ssms
TensorFlow
Transformers

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The Company
HQ: Eden Prairie MN
160000 Employees
Year Founded: 2011

What We Do

Optum part of the UnitedHealth Group family of businesses 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. At Optum we support your well-being with an understanding team extensive benefits and rewarding opportunities. By joining us you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models core on‑site (5 days/week) hybrid (4 days/week) and telecommute or fully remote vary by country role and location.

Typical time on-site: Not Specified
HQEden Prairie MN
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Louisville KY
Madison WI
Minneapolis MN
Nashville TN
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Philadelphia PA
Phoenix AZ
Pune India
Raleigh NC
San Diego CA
Washington DC
Learn more

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Date Posted

04/09/2026

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