Frontier AI Research Scientist — Scale & Alignment

AI Breaking Wire; San Francisco, Northern (CA, KY); Hybrid; USD 300,000 - 500,000; Full time

Benefits offered by this job

Competitive salary and equity packages

Comprehensive health, dental, and vis

Flexible working hours and generous PT

Catered daily lunches

Job summary

OpenAI is seeking a Research Scientist for the Frontier Models team in San Francisco. The role focuses on designing, training, and evaluating large-scale neural networks, advancing scaling, reasoning, and alignment, and collaborating with interdisciplinary teams to improve model safety and efficiency.

Candidates should have a PhD or equivalent, a track record of top-tier publications, and strong Python/PyTorch skills, with deep knowledge of transformers and distributed training.

Qualifications

• PhD or equivalent in Machine Learning, Computer Science, Statistics, or related fields.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR).
• Extensive Python programming and deep learning framework experience (PyTorch).
• Deep understanding of transformer architectures, optimization, and distributed training.

Responsibilities

• Design, train, and evaluate large-scale neural network architectures.
• Collaborate with interdisciplinary teams to improve safety, efficiency, and generalization.
• Publish findings to contribute to the scientific community.

Skills

Python

PyTorch

LLMs

Transformers

Research

Education

PhD or equivalent in ML/CS/Statistics

Tools

Distributed training

Job description

OpenAI is seeking a Research Scientist for the Frontier Models team in San Francisco. The role focuses on designing, training, and evaluating large-scale neural networks, advancing scaling, reasoning, and alignment, and collaborating with interdisciplinary teams to improve model safety and efficiency.

Candidates should have a PhD or equivalent, a track record of top-tier publications, and strong Python/PyTorch skills, with deep knowledge of transformers and distributed training.