Job Posting
Machine Learning Engineer, Distributed Data Systems
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.
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Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
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Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
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401(k) retirement plan with employer match
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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)
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Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
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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)
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Mental health and wellness support
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Employer-paid basic life and disability coverage
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Annual learning and development stipend to fuel your professional growth
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Daily meals in our offices, and meal delivery credits as eligible
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Relocation support for eligible employees
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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 at OpenAI. You’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:
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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.
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Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.
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Partner with researchers to deeply understand requirements and translate them into production-ready systems.
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Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.
You might thrive in this role if you:
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Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data.
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Are detail-oriented and bring rigor to building and maintaining reliable systems.
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Demonstrate excellent software engineering fundamentals and organizational skills.
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Are comfortable with ambiguity and rapid change.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
