Machine Learning Engineer, Distributed Data Systems - Robotics
OpenAI · Research
- Location
- San Francisco, California, United States · Remote
- Metro
- San Francisco Bay Area
- Workplace
- Hybrid
- Level
- Unspecified
- Type
- Full-time
- Pay
- $380K–$500K/yr (published by employer)
- Posted
- 9 months ago
- Source
- Ashby
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What the posting covers
About the Team
The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad…
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…
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…
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 systems. Demonstrate excellent software engineering fundamentals and…
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…
Excerpts only. The employer’s page has the complete posting.