Machine Learning Engineer

About the role

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 C5ISR, 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.

In This Position You Will: - 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

Required Qualifications: - 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