Oumi

About the Company

Oumi is a community of researchers, developers, and institutions united in their mission to make frontier AI more open, collaborative, and accessible. Oumi offers an unconditionally open-source AI platform that empowers the broader community to push the boundaries of AI while enabling enterprises to enhance and truly own their AI destiny. The Oumi platform allows users to build, evaluate, and deploy cutting-edge AI models at any scale through an all-in-one, fully open-source solution.

Listed Jobs

Company Name

Oumi

Job Title

ML Engineer

Job Description

Seattle, United states

Hybrid

22-10-2025

Company Name

Oumi

Job Title

ML Research Engineer

Job Description

**Job Title:** ML Research Engineer **Role Summary** Research-engineering hybrid role focused on advancing open-source generative AI and large language models (LLMs) through scalable infrastructure development, experimental collaboration, and community-driven innovation. **Expectations** - Advanced expertise in ML, deep learning, or NLP, with a focus on generative AI/LLMs. - Strong Python proficiency and ML framework experience (e.g., PyTorch). - Demonstrated ability to design/maintain scalable ML infrastructure (distributed systems, cloud-based training). - Collaborative mindset for cross-functional research and engineering teamwork. **Key Responsibilities** - Architect and implement systems for LLM training, fine-tuning, and evaluation. - Partner with researchers to design experiments, develop reusable code, and analyze results. - Apply techniques such as reinforcement learning (RLHF), supervised fine-tuning, and prompt optimization to improve model alignment and performance. - Build distributed training pipelines for multi-GPU/multi-node environments. - Contribute open-source tools and models to foster community transparency and collaboration. - Optimize ML system performance across data processing, training, and deployment stages. **Required Skills** - Python programming; PyTorch (or equivalent ML framework) expertise. - ML infrastructure design (distributed training, cloud systems). - Strong quantitative analysis and problem-solving capabilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, AI/Machine Learning, or related field. - Advanced degree (Master’s/Ph.D.) preferred for research depth.

Palo alto, United states

Hybrid

22-10-2025