About the Role
Title: Lead AI/ML Engineer – Remote
Location: Eden Prairie MN US
Full Time
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.
Primary Responsibilities:
- Conduct applied research experiments, build and test machine learning and deep learning models
- Implement and design novel machine learning and deep learning approaches inspired by relevant literature
- Build robust machine learning pipelines to support production processes
- Implement online learning methods to optimize ML models in prospective pilot scenarios using approaches such as Multi-Armed Bandits and Reinforcement Learning
- Process and transform source data to be used in machine learning pipelines, leveraging distributed computing environments and parallel processing approaches
- Develop robust evaluation modules and automated reports
- Conduct statistical analysis and create data visualizations
- Design, plan, and prioritize experiments
- Run machine learning experiments in distributed computing environments, leveraging parallel processing approaches
- 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
Required Qualifications:
- MS or PhD in computer science or a related quantitative field
- 4+ years of machine learning and data science experience
- 2+ years of experience leading ML projects
- 3+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow
- 2+ years leading projects with solid technical communication skills, including demonstrated technical leadership
- 1+ years of hands-on experience with NLP approaches such as text embedding and text classification and using and evaluating LLMs/generative AI models
Preferred Qualifications:
- Experience with online learning approaches such as Multi-Armed Bandits and Reinforcement Learning
- Experience with distributed computing approaches such as Spark
- Experience with distributed ML model training with AzureML
- Experience building and adjusting weighted model ensembles in online learning settings
- Experience forking open-source projects and modifying source code
- Familiar with clustering algorithms and recommendation systems
- Experience working on collaborative software projects using GitHub