Senior Field ML Engineer

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. By providing the safest, highest quality, and most flexible AI, we aspire to unlock positive impact for every individual, enterprise, and humanity overall.

What we do: Oumi provides an end-to-end, AI-native platform to build custom AI models in hours, not months –automating the loop of evaluation, data synthesis, training, and repeat. Oumi also develops an open research stack and models in collaboration with academic collaborators and the open community.

Our Approach: Oumi is built on a foundation of open source, with open collaboration at the heart of everything we do. Our work is:

• Research-driven: We conduct and publish original AI research, working closely with academic research labs and collaborators across the globe.

• Community-powered: We believe in the strength of open collaboration and actively welcome contributions from researchers and developers worldwide.

• Accessibility-focused: We design Oumi to help any organization—regardless of size or resources—effectively build, deploy, and benefit from AI by lowering barriers to access, experimentation, and adoption.

We’re looking for our first Senior Field ML Engineer who bridges the gap between technical expertise and customer success. You’ll work closely with our customers to design, train, and deploy AI models using Oumi’s platform. This role blends solution architecture, applied machine learning, and customer interaction - ideal for someone who loves both building systems and helping others use them effectively.

You’ll play an important role in shaping not only the direction of the team but also the product. You will collaborate closely with research, product, and engineering teams to ensure customers have a world-class experience using Oumi, while channeling feedback to improve our platform.

• Drive success with customers: Partner with customers through the pre-sales and post-sales lifecycle - from technical demos and proof-of-concept design to hands-on training and deploying models.

• Create custom models: Train, fine-tune, and evaluate modern LLMs and other AI models using Oumi’s platform.

• Design AI solution architectures: Work with customers to design scalable ML workflows using best practices in data preparation, training, and deployment.

• Be a technical advocate: Help customers understand Oumi’s capabilities, providing technical insight and translating research innovations into practical solutions.

• Drive product improvements: Work closely with the product and research teams to surface customer needs and help shape the future of Oumi’s platform.

• Educate & Enable: Develop technical guides, demos, and best practices to help customers and the open community succeed with Oumi.
  

• Experience: You have 5+ years of experience in applied ML, ML infrastructure, or solution/sales engineering roles.

• ML Expertise: You bring a solid understanding of machine learning workflows, with experience training or fine-tuning modern foundation models (e.g., LLMs, diffusion models, multimodal systems).

• Development Skills: You are proficient in Python with a strong understanding of AI/LLM best practices including practical experience with model training frameworks and using LLMs in production environments for modern use cases (e.g. RAG, agents, or agentic systems).

• Customer-Facing Strength: You have strong experience communicating complex technical concepts clearly and empathetically to both technical and non-technical audiences.

• Learners Mindset: You can proactively address gaps in your understanding of concepts and are willing to pick up whatever knowledge you're missing to get the job done.

• Operational Excellence: You can operate in and manage ambiguity while owning problems end-to-end.

• Values: You embody Oumi's core values: Beneficial for All, Customer-Ossessed, Radical Ownership, Exceptional Teammates, Science-Grounded.

• Remote OR hybrid work environment, with offices in:

  • San Francisco, CA

  • Bellevue, WA

  • New York, NY