Research Engineer, Knowledge Team
Anthropic- Full Time
- Junior (1 to 2 years)
Candidates should possess a Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong background in Natural Language Processing and experience with Large Language Models and Foundation Models. Experience with Machine Learning and AI is essential, and familiarity with research methodologies and publication of novel work is preferred.
The Natural Language Processing Researcher will develop robust solutions in the areas of Natural Language Processing, Large Language Models, Foundation Models, ML, and AI. They will also develop and evaluate algorithms, contribute to research projects focused on knowledge extraction and representation, multimodal media asset exploitation, and understanding written instructions, and collaborate with academic partners and government agencies on ongoing research efforts.
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.