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Oumi · 1 month ago

Pre/Post-Sales Machine Learning Engineer

Seattle, WA

Full-time

Hybrid

Mid, Senior Level

4+ years exp

Oumi is on a mission to make frontier AI truly open for all, providing an all-in-one platform to build state-of-the-art AI models. They are seeking a Pre/Post-Sales Machine Learning Engineer to bridge the gap between technical expertise and customer success, focusing on designing, training, and deploying AI models while collaborating with various teams to improve the platform.

Artificial Intelligence (AI)Software

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

Qualification

Machine Learning ExpertisePythonAI Solution ArchitectureCustomer-Facing SkillsModel Training FrameworksOperational ExcellenceLearners MindsetCore Values

Required

4+ 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 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)

Strong experience communicating complex technical concepts clearly and empathetically to both technical and non-technical audiences

Proactively address gaps in understanding of concepts and are willing to pick up whatever knowledge you're missing to get the job done

Can operate in and manage ambiguity while owning problems end-to-end

Embodies Oumi's core values: Beneficial for All, Customer-Ossessed, Radical Ownership, Exceptional Teammates, Science-Grounded