Role Overview

The Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development. What you’ll do:

• Model Development: Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods. - Data Curation: Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques. - Benchmark Development: Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains. - Research and Experimentation: Design and conduct experiments to validate research hypotheses and improve model performance. - Open Source Contribution: Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries. - Collaboration: Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI. - Publish research findings in leading conferences and journals. - Evaluate existing models and identify areas of improvement. - Work with various models, including text and multimodal models, and both open and closed models. - Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back.