Remote AI/ML Research Intern - Healthcare Impact

UnitedHealth Group

Eden Prairie (MN)

Remote

USD 85,000 - 125,000

Full time

5 days ago
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Benefits offered by this job

Remote-friendly
Benefits package

Job summary

Optum AI, part of UnitedHealth Group, is expanding with Research Interns for Summer 2027 to advance AI/ML in healthcare. You will work on state-of-the-art models and collaborate with world experts to improve patient outcomes.

Remote work is available nationwide in the U.S.; in Minneapolis or Washington, DC, in-office four days per week is required where applicable. Salary ranges from $85,000 to $125,000 annually, plus a comprehensive benefits package.

Qualifications

  • PhD candidate in ML/AI/CS or related field.
  • Experience implementing/training ML algorithms or statistical analysis.
  • Strong mathematical foundations in ML.
  • Familiarity with PyTorch or TensorFlow.
  • Proficiency in Python, R, Java, C++, or MATLAB.
  • Legally authorized to work in the US without restrictions.

Responsibilities

  • Perform research advancing the state of the art in AI and ML.
  • Implement algorithms and evaluate their performance on healthcare data.
  • Communicate results across an interdisciplinary team and explore use cases that improve real-world healthcare outcomes.
  • Document research internally and externally, including publications in ML conferences and journals.

Skills

Machine learning
Python
R
C++
Deep learning
PyTorch
TensorFlow
Communication
Teamwork
Programming

Education

PhD in ML/AI/CS

Tools

Git
Jupyter
Docker
Linux

Job description

Optum AI, part of UnitedHealth Group, is expanding with Research Interns for Summer 2027 to advance AI/ML in healthcare. You will work on state-of-the-art models and collaborate with world experts to improve patient outcomes.

Remote work is available nationwide in the U.S.; in Minneapolis or Washington, DC, in-office four days per week is required where applicable. Salary ranges from $85,000 to $125,000 annually, plus a comprehensive benefits package.

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