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Jobs/San Francisco/Machine Learning Engineer, Distributed Data Systems - Robotics
San Francisco, CA

Machine Learning Engineer, Distributed Data Systems - Robotics

About the Team Our mission is to expand the capabilities of foundational models to support general-purpose robotics in dynamic, real-world environments, ensuring reliable and safe operation. These capabilities include, but are not limited to, action generation, motion planning, world modeling, and real-time communicati

Company
OpenAI
Compensation
$295K - $445K
Schedule
Full-Time
Role overview

What this role actually needs.

About the Team Our mission is to expand the capabilities of foundational models to support general-purpose robotics in dynamic, real-world environments, ensuring reliable and safe operation. These capabilities include, but are not limited to, action generation, motion planning, world modeling, and real-time communicati Responsibilities: - 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. 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. - 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. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.

Responsibilities

Day-to-day expectations

OpenAI lists these responsibilities for the Machine Learning Engineer, Distributed Data Systems - Robotics role.

  • 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.
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • 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.
UpJobz market context

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Machine Learning Engineer, Distributed Data Systems - Robotics is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

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Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

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Interview themes

Artificial IntelligenceHybridaillmmachine-learningresearch

Watchouts

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Role signals

Keywords to match against your background

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aillmmachine-learningresearchawssecurityplatformapipythoninfrastructure
Next step

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Source: jobs.ashbyhq.com Β· Source ID: 4a13c764-18c3-4076-ac87-29e05491be07 Β· Confidence: 97/100 Β· Last checked: May 7, 2026

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