Research Engineer / Research Scientist - Post Training, Personalization

The role

You will research and develop improvements to memory usage and personalization in frontier models. This involves working on reinforcement learning, dataset creation, evaluations, and other post-training methods.

What you will do

• Own and pursue a research agenda for improving memory use and personalization in frontier models.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.
• Collaborate closely with the research and product teams to influence the shape of technical solutions in the product.

Required qualifications

• Background in frontier model post-training.
• Ability to iterate quickly.
• Experience working with user signals and human data to turn feedback into reliable signals for training and evaluation.
• Deep understanding of frontier model post-training and machine learning applications.
• Comfortable diving into a large ML codebase to debug.

Nice to have

• Passionate about personalization and building personalized assistants.
• Value principled approaches and research craftsmanship.
• Thrive in a fast-paced, dynamic, and technically complex environment.

Benefits

• Relocation assistance to new employees

Before you apply

• Background checks for applicants will be administered in accordance with applicable law.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.