Senior AI/ML Engineer - Remote

$88,000 - $173,200/Yr

UnitedHealth Group - Eden Prairie, MN

Full-time - Mid Level

Remote - Eden Prairie, MN

11-50 employees

Insurance Carriers and Related Activities

About the position

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 diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is chartered to drive value on high impact enterprise AI problems, democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI), and drive Responsible AI. Projecting to deliver $8.4B of benefit value over the next 5 years through these efforts as well as reduce risk through safe, accurate, and unbiased AI, this is a key focus of the enterprise. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Responsibilities

• Build and test deep learning and traditional ML models in distributed computing environments
• Develop robust machine learning pipelines and ML Ops procedures to support production processes
• Process and transform source data to be used in machine learning pipelines, leveraging distributed computing environments and parallel processing approaches
• Develop robust modules for evaluation and drift detection
• Design and plan experiments, conduct statistical analysis and create data visualizations
• Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs
• Develop code and model documentation and assist with model governance approvals

Requirements

• BS in computer science or a related quantitative field
• 2+ years of AI/ML experience
• 2+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow
• Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification

Nice-to-haves

• MS or PhD in computer science or related quantitative field
• Experience with distributed computing approaches such as Spark
• Experience with Snowflake and other relational databases
• Experience building Python libraries
• Experience working on collaborative software projects using GitHub
• Experience developing simple UIs for POCs demonstrating AI/ML models
• Proven solid technical communication skills

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution