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Research Engineer, Human Data

Design novel approaches for using large language models to support humans in evaluating model outputs.
San Francisco, California, United States
Senior
$295,000 - 440,000 USD / year
3 weeks ago

✨ About The Role

- Design, execute, and analyze machine learning experiments to identify improvements to data - Write clean non-ML code, for example when building interfaces to interact with models or pipelines for managing human data - Collaborate closely with a small team to balance flexibility and iteration speed in research with stability and reliability in a complex long-lived project - Understand the high-level research roadmap to help plan and prioritize future experiments - Implement and measure the effectiveness of data collection techniques, including Reinforcement Learning from Human Feedback (RLHF) and novel methods

⚡ Requirements

- Ideal candidate holds a Ph.D. or other degree in computer science, AI, machine learning, or a related field - Requires in-depth understanding of deep learning research and/or strong engineering skills, particularly proficient in Python and machine learning frameworks like PyTorch or TensorFlow - Must have a deep understanding of Human-Computer Interaction (HCI) or cognitive science - Motivated by OpenAI's mission of building safe, universally beneficial AGI and aligned with OpenAI's charter - Goal-oriented individual who is not afraid of tedious but high-value work when needed - Team player who enjoys collaborative work environments
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Research Engineer, Human Data
San Francisco, California, United States
$295,000 - 440,000 USD / year
Engineering
About OpenAI
Building artificial general intelligence