Machine Learning Engineer

Team

Description:

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust, affordable solutions.

We seek to advance AI, CV, and other related fields through research and development and collaborative projects that can contribute to our open source software platforms, such as XAITK, NRTK, and GeoWATCH.

About the Projects:

Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state‑of‑the‑art artificial intelligence approaches to dynamic, real‑world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community.

We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5

ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high‑quality technical solutions.

• 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, Tensor Flow, 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++

Company

Description:

Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee‑focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

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