Research Scientist, Frontier Models

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

# Research Scientist, Frontier ModelsOpenAI## Job DescriptionWe are seeking a Research Scientist to join our Frontier Models team at OpenAI. In this role, you will be at the forefront of developing next-generation artificial intelligence systems, pushing the boundaries of scale, reasoning, and alignment.### Responsibilities- Design, train, and evaluate large-scale neural network architectures.- Collaborate with interdisciplinary teams to improve model safety, efficiency, and generalization capabilities.- Conduct foundational and applied research to solve complex scaling bottlenecks.- Publish findings internally and externally to contribute to the broader scientific community.### Requirements- Ph.D. or equivalent practical experience in Machine Learning, Computer Science, Statistics, or related technical fields.- Proven track record of published research in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR).- Extensive programming experience in Python and deep learning frameworks such as PyTorch.- Deep understanding of transformer architectures, optimization algorithms, and distributed training paradigms.### Benefits- Competitive salary and equity packages.- Comprehensive health, dental, and vision insurance with 100% premium coverage.- Flexible working hours and generous paid time off.- Catered daily lunches and state-of-the-art office facilities.## Skills & Tagspythonpytorchllmtransformersresearch## Job DetailsFull-timeSan Francisco, CA$300k – $500k USDPosted August 10, 2026Expires October 9, 2026