Research Scientist, Reasoning and Planning

AI Breaking Wire; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 220,000; Full time

Benefits offered by this job

Health insurance

Equity

PTO & parental leave

Learning stipends

Job summary

OpenAI is seeking a Research Scientist to join our Reasoning and Planning team. You will push the boundaries of AI by developing novel architectures and training paradigms for multi-step reasoning, mathematical problem-solving, and complex planning in frontier models.

You will design and evaluate deep learning architectures, collaborate to scale training across accelerators, and publish findings at top ML venues while contributing to product roadmaps.

Qualifications

• PhD or equivalent in CS/ML or related field.
• Publications in NeurIPS/ICML/ICLR/CVPR.
• Proficiency in Python and PyTorch.
• Expertise in transformer architectures and RL.

Responsibilities

• Design, implement, and evaluate novel deep learning architectures for reasoning and search-based alignment.
• Collaborate with infrastructure/engineering to scale training pipelines over thousands of accelerators.
• Publish research findings at top ML conferences and contribute to product roadmaps.

Skills

Python

Deep learning

Research publications

Transformer models

Reinforcement learning

Education

PhD in CS/ML

Tools

PyTorch

Job description

About the Role

OpenAI is seeking a Research Scientist to join our Reasoning and Planning team. You will be responsible for pushing the boundaries of AI capabilities by developing novel architectures and training paradigms that enhance multi-step reasoning, mathematical problem-solving, and complex planning in frontier models.

Responsibilities

• Design, implement, and evaluate novel deep learning architectures focused on reasoning and search-based alignment.
• Collaborate closely with infrastructure and engineering teams to scale training pipelines efficiently across thousands of accelerators.
• Publish research findings in top-tier machine learning conferences and contribute to product development roadmaps.

Requirements

• Ph.D. or equivalent practical experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proven track record of research publications in core ML venues (NeurIPS, ICML, ICLR, CVPR).
• Strong programming skills in Python and deep learning frameworks like PyTorch.
• Deep understanding of transformer architectures, reinforcement learning, and search algorithms.

Benefits

• Comprehensive health, dental, and vision insurance with 100% premium coverage.
• Competitive salary and equity packages.
• Flexible paid time off and parental leave.
• Annual learning and development stipends.