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 off401(k)health insurance ResponsibilitiesCollaborate with researchers on ML, AI, and computer vision projectsPrototype rapidly and develop solutions for integration into operational systemsContribute strong programming skills to robust, real-world solutionsValidate, optimize, and deploy advanced exploitation algorithmsTroubleshoot, fix bugs, and maintain code for stability and robustness Key requirementsBachelor's or Master's in Computer Science, Electrical and Computer Engineering, or related fieldProficiency in PythonExperience with deep learning libraries (PyTorch, TensorFlow, etc.)Strong background in classical and modern ML (model selection, training, validation, deployment)Machine learning experience using visual dataKnowledge 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 clearedSome travel (5-25%)Full-time on-site workcollaborationadaptabilityproblem-solvingPyTorchTensorFlowmachine learning for visual data