Job Description

Position Overview

• Location Type: Hybrid (3 days in office per week)
• Job Type: Full-Time
• Salary: $295K - $530K
• Location: San Francisco, CA

As a Research Engineer / Scientist, you will contribute to improving OpenAI’s models, focusing on agentic capabilities and fundamental research. This role involves collaborating with product teams, developing evaluations, and implementing algorithmic improvements. You’ll be a self-starter, driving research agendas and working in a fast-paced, dynamic environment.

Requirements

• Deep understanding of machine learning and machine learning applications.
• ML engineering skills.
• Research experience.
• Ability to debug and improve large ML codebases.
• Comfortable with rapid iteration.

Responsibilities

• Own and pursue a research agenda to improve model capability and performance.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across the research stack.
• Collaborate closely with research and product/applied teams.
• Develop methods to train agentic capabilities into the model.
• Pursue algorithmic improvements to enhance model intelligence.
• Develop new tools and train the model to utilize them.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI capabilities and seek to safely deploy them through our products. AI is a powerful tool that must be created with safety and human needs at its core.

Company Information

• Equal Opportunity Employer: OpenAI is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.
• San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
• Relocation Assistance: Offered to new employees.

Additional Information

• Team: Deep Research team - responsible for building models powering Deep Research capability and future agentic offerings.