Machine Learning Engineer

• Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision
• Perform rapid prototyping and enhanced development to be integrated into operational systems
• Contribute your strong programming ability and experience to develop robust solutions for real-world problems
• Validate, optimize, and deploy advanced exploitation algorithms
• Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness

• Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field
• Proficiency in Python
• Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
• Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment
• Machine learning experience using visual data
• Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing
• A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems
• Due to contractual requirements, only US Citizens will be considered for this position
• If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
• Some travel is required, typically 5-25%
• Willingness to work 2-5 days a week on-site in a National Capital Region area government office, with the remainder of time in Kitware's office

• Active SECRET, TS, or TS/SCI security clearance
• Experience curating quality, real-world datasets for training deep learning models
• Proficiency in C++

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.