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Research Infrastructure Engineer – Post-Training
| Company | OpenAI |
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| Location | San Francisco, CA, USA |
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| Salary | $310000 – $460000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- Strong technical background in data technologies
- Deep expertise in ML system optimization, distributed systems, or full-stack application development for internal tools
- Ability to analyze and troubleshoot complex system issues
- Experience collaborating with ML researchers in an applied setting is highly valued
Responsibilities
- Ensure that systems which power ChatGPT training and development run smoothly
- Dive into large ML codebases to understand and debug systems issues
- Work with researchers to build tools for data management, model configuration, evaluation, and more
- Create reusable Python libraries with great abstractions usable across ML projects
Preferred Qualifications
- Experience working in complex technical environments
- Experience debugging ML systems
- Experience with reinforcement learning and or transformers
- Experience with python
- Experience with kubernetes / distributed infrastructure
- Experience with GPU’s
- Experience with 1 or more large scale data systems such as beam or spark
