Research Scientist, Scaling Laws

2 months ago


San Francisco, United States OpenAI Full time

About the Team

The Scaling Laws group within Architecture works to advance our foundational understanding of our deep learning stack. We study the algorithmic scaling behavior across architecture, optimization, and data. Besides leading directly to capabilities improvements, this work underpins OpenAI's ability to carry out other research through predictive scaling laws, correct experimental methodology, and evaluations.

About the Role

As a Research Scientist here, you will be responsible for conducting investigations and developing principled theories that predict algorithmic scaling behavior. You will build and apply theoretically-grounded intuitions, design and execute careful experiments, think deeply about hyperparameters, and deliver improvements across all aspects of our algorithms.

You might thrive in this role if: 

You have a background in statistical machine learning, physics, mathematics, or another theoretically and empirically rigorous field.

Or, you have a strong track record in deep learning research demonstrating an expert knowledge of deep learning algorithms (objectives, architecture, optimization).

You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time.

You are a capable programmer and are comfortable implementing novel deep learning algorithms correctly and autonomously.



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