Machine Learning Engineer, Distributed Data Systems
OpenAISan Francisco, California, United States
Posted February 6, 2026
Full Time
About the Company
OpenAI is a leading AI research and deployment organization that develops advanced artificial intelligence systems with a focus on safety, alignment, and broad societal benefit. The company’s core offerings include cutting-edge machine learning models and AI tools that power applications across industries, while its research agenda prioritizes responsible AI development. OpenAI distinguishes itself by placing human values and inclusive perspectives at the center of its technology strategy, supported by a strong commitment to diversity, equity, and inclusion. Through collaboration with partners and open-source initiatives, it aims to democratize AI benefits and address global challenges. The organization attracts talent driven by a mission to create safe, beneficial AI for all of humanity.
Job Description
We're a hybrid research and product team focused on integrating multimodal functionalities into our AI products. As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI.
Requirements
- Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security.
- Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.
- Partner with researchers to deeply understand requirements and translate them into production-ready systems.
- Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.