Lead AI/ML Applied Scientist - Remote
Indexed description
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
Primary Responsibilities
- Develop novel AI approaches for healthcare using both structured and unstructured data
- Build and test deep learning and traditional ML models in distributed computing environments
- 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
- Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards
- Develop code and model documentation, patents and publications in scientific conferences and journals
- Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions
- Stay up to date with latest technologies and literature
Required Qualifications
- PhD in Statistics, Mathematics, Computer Science or related field
- 5+ years of AI/ML experience (LLM, NLP)
- 5+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow
- Proven publication track record in top ML/NLP conferences/journals
- Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification
- Experience with distributed computing approaches such as Spark
- Experience with Snowflake and other relational databases
- Experience working on collaborative software projects using GitHub
- Proven solid technical communication skills
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
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.
#optumaiscience
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.
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