You’ll develop, train, and analyze machine learning models for supervised learning and reinforcement learning. You’ll work on a mix of projects, some of which will include other data scientists, others of which will require you to help educate non-data-science teams on the value and limitations of machine learning solutions. You will:
- Help identify and design training data sets.
- Implement and customize ML models from open literature.
- Develop MLOps pipelines.
- Visualize and communicate your results in written documents and oral presentations.
- You’ll support multiple teams and must be able to work effectively with other teammates.
Basic Qualifications:
- Master’s degree in a STEM field.
- 5+ years of hands-on experience with deep learning models (supervised, unsupervised, and reinforcement learning) using PyTorch, Tensorflow, or Jax.
- You must possess or can obtain an active Secret clearance.
