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Machine Learning Engineer, Distributed Data Systems - Robotics

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: OpenAI
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, Machine Learning/ ML Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 295000 - 445000 USD Yearly USD 295000.00 445000.00 YEAR
Job Description & How to Apply Below

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Research

Compensation
  • $295K - $445K Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at‑will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

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.

About the Role

As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation ’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for Sora’s rapid iteration cycles.

We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:
  • 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.
You might thrive in this role if you:
  • 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…
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