Machine Learning Research Engineer II
Technergetics- Full Time
- Junior (1 to 2 years)
Candidates should possess a Master's degree in Computer Science, Artificial Intelligence, or a related field, and demonstrate a strong background in Natural Language Processing, Large Language Models, Foundation Models, Machine Learning, and Artificial Intelligence. Experience with algorithm development and evaluation is essential, and a solid understanding of research methodologies is highly desirable.
The Natural Language Processing Researcher will develop robust solutions in the areas of Natural Language Processing, Large Language Models, Foundation Models, ML, and AI, and will develop and evaluate algorithms to achieve these solutions. They will also contribute to research and development projects focused on national security, collaborating with government agencies and academic partners, and publishing novel work while enjoying opportunities for collaboration and engagement with diverse stakeholders.
Develops open-source software for scientific computing
Kitware develops software solutions for scientific and technical computing, focusing on high-performance computing, visualization, and data analysis. Their main products include ParaView, VTK, ITK, and CMake, which assist in large-scale data visualization, image analysis, and software building. These tools are open-source, allowing a community of users and developers to contribute to their improvement. Kitware differentiates itself by offering consulting services, custom software development, and support contracts, ensuring clients can effectively use their tools. The company's goal is to provide advanced software solutions that enhance data processing and visualization capabilities across various sectors, including medical imaging and geospatial analysis.