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ML Research Engineer
ML Research EngineerOumi • Palo Alto, CA, United States
ML Research Engineer

ML Research Engineer

Oumi • Palo Alto, CA, United States
2 days ago
Job type
  • Full-time
Job description

ML Research Engineer

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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

Were looking for a Research Engineer to join our team working on generative AI and LLMs. In this role, you'll bridge research and engineeringdesigning scalable infrastructure, enabling cutting-edge experiments, and helping open-source the next generation of LLMs. You will collaborate closely with our research team and the open-source community to build tools, run evaluations, and contribute to models that are safe, performant, and accessible.

What youll do

  • Design and build systems to support training, fine-tuning, and evaluating large language models.
  • Partner with researchers to define experiments, write reusable code, run benchmarks, and interpret results.
  • Work on LLM alignment and tuning using techniques such as reinforcement learning (RLHF), supervised fine-tuning, and prompt optimization.
  • Develop scalable ML pipelines for distributed training (e.g., across multi-GPU and multi-node environments).
  • Contribute to open-source tooling and models to support transparency and community collaboration.
  • Optimize performance across the ML stackfrom data loading to deployment.

    • What youll bring

  • Strong experience in machine learning, deep learning, or NLPespecially in generative AI or LLMs.
  • Solid programming skills in Python, and experience with ML frameworks like PyTorch.
  • Experience designing or maintaining ML infrastructure at scale (e.g., cloud-based training, distributed systems).
  • Comfort working in highly collaborative environments with research and engineering teams.
  • Bonus : experience with academic publications, open-source contributions, or LLM alignment work.
  • 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 :
  • Seattle, WA
  • Palo Alto, CA
  • New York, NY

    • Seniority Level

    Entry level

    Employment Type

    Full?time

    Job Function

    Engineering and Information Technology

    Industries : Software Development

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