Machine Learning Engineer, Distributed Data Systems - Robotics

About this role

OpenAI seeks a Machine Learning Engineer to design and scale distributed data infrastructure for large-scale multimodal training and evaluation in robotics. You'll build robust pipelines, collaborate with researchers, and maintain critical systems supporting OpenAI's rapid iteration cycles.

What you'll do

• Design and build distributed compute, data orchestration, and storage systems
• Scale data platforms reliably while maintaining efficiency and security
• Partner with researchers to translate requirements into production systems
• Harden, optimize, and maintain critical multimodal training infrastructure
• Ensure data pipelines meet scalability and reliability requirements
• Support evaluation systems for robotics and AI research

What they're looking for

• Distributed systems architecture
• Large-scale infrastructure design
• Data pipeline orchestration
• Software engineering fundamentals
• System reliability and hardening
• Distributed storage technologies
• Problem-solving under ambiguity
• Cross-functional collaboration

Benefits

• Hybrid work model (3 days in office per week)
• Based in San Francisco, CA
• Relocation assistance provided
• Work on cutting-edge robotics and AGI research
• Collaborative environment with leading researchers