About Oumi
Why we exist:
Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.
What we do:
Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.
Our Approach:
Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:
- Open Source First: All our platform and core technology is open source
- Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaborators
- Community-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwide
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.
What you’ll bring:
- Education: A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered.
- Research Experience: Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals.
- ML Expertise: Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs).
- Programming Skills: Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch).
Benefits
- Equity in a high-growth startup
- Comprehensive health, dental and vision insurance
- 21 days PTO
- Regular team offsites and events
Location:
Hybrid work environment, with offices in:
- Seattle, WA
- Palo Alto, CA
- New York, NY
