Machine Learning Engineer

Overview Join Kitware to advance AI and computer vision in real-world contexts. You will collaborate with researchers to prototype and deploy robust CV solutions within operational systems. This role emphasizes applying state-of-the-art ML to government and commercial problems, with opportunities to influence open-source platforms. You’ll work in a mission-driven, collaborative environment that values scientific rigor and impactful delivery. This is a hands-on role with a clear path from research to deployment and field validation. Compensation / Benefitscompetitive compensation plantuition reimbursementflexible working hourssix weeks paid time off 401(k)health insurance Responsibilities Collaborate with researchers on ML, AI, and computer vision projects Prototype rapidly and develop solutions for integration into operational systems Contribute strong programming skills to robust, real-world solutions Validate, optimize, and deploy advanced exploitation algorithms Troubleshoot, fix bugs, and maintain code for stability and robustness Key requirements Bachelor's or Master's in Computer Science, Electrical and Computer Engineering, or related field Proficiency in Python Experience with deep learning libraries (PyTorch, Tensor Flow, etc.)Strong background in classical and modern ML (model selection, training, validation, deployment)Machine learning experience using visual data Knowledge of Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, NLPComfort with academic literature and adapting research to real-world problemsUS Citizenship required; willingness to apply for TS/SCI clearance if not already cleared Some travel (5-25%)Full-time on-site workcollaborationadaptabilityproblem-solving PyTorch Tensor Flowmachine learning for visual data