Machine Learning Engineer, Distributed Data Systems
About the Team The Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.
What this role actually needs.
Machine Learning Engineer, Distributed Data Systems at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team The Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- 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.
- Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data.
- Are detail-oriented and bring rigor to building and maintaining reliable systems.
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- 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.
- Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data.
- Are detail-oriented and bring rigor to building and maintaining reliable systems.
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to machine learning engineer, distributed data systems is a high-signal hybrid role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- $295K - $445K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in hybrid environments.
Search intent signals for this listing
Helpful keyword hooks for serious tech searchers and future programmatic job pages.
Ready to move on this role?
This page keeps the application flow simple while giving you enough context to decide quickly and move.