Role OverviewThe 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.
- 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 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).
- Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.
- Initiative: A self-starter who can work independently and take ownership of initiatives.
- Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.
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:
- San Mateo, CA
- Seattle, WA
- New York, NY
