ML Engineer, Distributed Data Systems

SupportFinity™; San Francisco (CA); Hybrid; USD 295,000 - 445,000; Full time

Job summary

OpenAI in San Francisco, CA is seeking a Machine Learning Engineer, Distributed Data Systems to design and scale infrastructure for large-scale multimodal training and evaluation. The role involves managing distributed data pipelines and partnering with researchers to deliver production-ready systems.

Based in a hybrid workplace with 3 days in the office per week, relocation assistance is provided. OpenAI values safety, reliability, and societal benefit as it advances multimodal AI research and

Qualifications

• Experience with distributed data systems at scale.
• Strong software engineering fundamentals and reliability.
• Comfortable with ambiguity and rapid change.

Responsibilities

• Design, build, and maintain data infrastructure systems including distributed compute, data orchestration, and streaming infrastructure.
• Ensure the data platform can scale by orders of magnitude while remaining reliable and efficient.
• Collaborate with researchers to translate requirements into production-ready systems.
• Harden, optimize, and maintain critical data infrastructure that powers multimodal training and evaluation.

Skills

Distributed systems

Data infrastructure

Software engineering

Ambiguity tolerance

Job description

OpenAI in San Francisco, CA is seeking a Machine Learning Engineer, Distributed Data Systems to design and scale infrastructure for large-scale multimodal training and evaluation. The role involves managing distributed data pipelines and partnering with researchers to deliver production-ready systems.

Based in a hybrid workplace with 3 days in the office per week, relocation assistance is provided. OpenAI values safety, reliability, and societal benefit as it advances multimodal AI research and