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Oumi

Research Scientist

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In-Office
9 Locations
100K-220K Annually
In-Office
9 Locations
100K-220K Annually

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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.

  • 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
  • Competitive salary: $100,000 - $220,000

  • Equity in a high-growth startup

  • Comprehensive health, dental and vision insurance

  • 21 days PTO

  • Regular team offsites and events

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
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