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 allinone platform to build stateoftheart AI models, end to end, from data preparation to production deployment, empowering innovators to build cuttingedge 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 opensource first company, with opencollaboration across the community as a core principle. Our work is:
Open Source First: All our platform and core technology is open source
Researchdriven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaborators
Communitypowered: We believe in the power of opencollaboration and welcome contributions from researchers and developers worldwide
The Research Scientist will be an integral part of Oumis research team, focusing on advancing the stateoftheart in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cuttingedge research, contributing to opensource projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLMVLM 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 highquality 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 opensource 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 opensource AI.
Publication: Publish research findings in leading conferences and journals.
Platform Evaluation: Evaluate existing models and identify areas of improvement.
Flexibility: Work with various models, including text and multimodal models, and both open and closed models.
Problem Solving: Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back.
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 toptier conferences or journals.
ML Expertise: Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) andor vision language models (VLMs).
Programming Skills: Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch).
Open Source: Familiarity with opensource projects and a passion for contributing to the opensource community.
Initiative: A selfstarter who can work independently and take ownership of initiatives.
Values: Share Oumis values: Beneficial for all, Customerobsessed, Radical Ownership, Exceptional Teammates, Sciencegrounded.
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