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Senior Field ML Engineer

Oumi· Product
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Hybrid (Bellevue, WA), Hybrid (San Francisco, CA), Hybrid (New York, NY)$0Full-timePosted 11mo ago

About the role

Senior Field ML Engineer who bridges the gap between technical expertise and customer success, working with customers to design, train, and deploy AI models using Oumi’s platform. Combines solution architecture, applied machine learning, and customer interaction to shape product direction and ensure a world-class customer experience.

Responsibilities

  • 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.

Qualifications

  • 5+ years of experience in applied ML, ML infrastructure, or solution/sales engineering roles.
  • Solid understanding of machine learning workflows, with experience training or fine-tuning modern foundation models (e.g., LLMs, diffusion models, multimodal systems).
  • Proficient in Python with 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).
  • Strong experience communicating complex technical concepts clearly to both technical and non-technical audiences.
  • Learner’s mindset and willingness to address gaps to get the job done.
  • Operational excellence and ability to operate in and manage ambiguity while owning problems end-to-end.
  • Values: Beneficial for All, Customer-Ossessed, Radical Ownership, Exceptional Teammates, Science-Grounded.

Skills

Required:ML model training and fine-tuningPythonCommunication and technical storytelling

Benefits

  • Equity in a high-growth startup
  • Comprehensive health, dental, and vision insurance
  • 21 days PTO
  • Regular team offsites and events
Last updated Jul 30, 2026. Interested? Apply on the company site.
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