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Research Engineer/Research Scientist - Personal AGI, North Stars

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Data Science

Date Posted

June 26, 2026

Full Job Description

đź“‹ Description

  • • Own and pursue a research agenda to improve model capability and performance for Personal AGI systems deployed via ChatGPT, the API, and future products.
  • • Collaborate closely with research and product teams across OpenAI to enable customers to optimize their own models and enhance AI-driven experiences.
  • • Build robust evaluations to track and measure improvements in model behavior, personalization, safety, factuality, instruction following, personality, interactivity, and multilingual fluency.
  • • Design, implement, test, and debug code across the company’s ML research stack to close the capability overhang between power users and average consumers.
  • • Translate insights about current bottlenecks in model behavior into actionable training data, reward signals, and model architecture improvements.
  • • Focus on key capability areas including tool-use, feature discovery, connectors, and instruction following to advance AI as a personalized superassistant.
  • • Chart the strategic direction for what capabilities AI systems should strive toward, aligning technical research with product goals and human flourishing outcomes.
  • • Work within a hybrid model requiring 3 days per week in the San Francisco office, contributing to an environment focused on safe, efficient, and reliable AI deployment.
  • • Partner with cross-functional teams to ensure models are not only powerful but also safe, reliable, and aligned with human needs and ethical standards.
  • • Contribute to the evolution of ChatGPT from a chatbot into an infinitely capable, personalized AI assistant that supports global user autonomy and flourishing.
  • • Engage with large-scale ML codebases to debug complex issues and drive iterative improvements in model performance and behavior.
  • • Conduct research that bridges theoretical advancements with real-world product impact, ensuring AI capabilities are accessible to all users, not just technical experts.
  • • Maintain a strong focus on multilingual fluency, world interaction, and agent-like behaviors to expand the scope of AI utility across diverse user contexts.
  • • Apply deep machine learning expertise to define, measure, and enhance model capabilities across the entire training pipeline—from data curation to reward modeling.
  • • Work in a dynamic, technically complex environment that demands creativity, rigor, and product-driven research thinking.

🎯 Requirements

  • • Deep understanding of machine learning and machine learning applications.
  • • Working knowledge of relevant models and building evaluations for model capability improvement.
  • • Comfort diving into large ML codebases to debug and optimize systems.
  • • Research experience in machine learning with a passion for product-driven innovation.
  • • Proven ability to translate research insights into training data, reward signals, and model improvements.
  • • Experience collaborating with cross-functional research and product teams.

🏖️ Benefits

  • • Hybrid work model with 3 days per week in the San Francisco office.
  • • Relocation assistance for new employees.
  • • Opportunity to work on frontier AI systems deployed to millions of users globally.
  • • Access to cutting-edge research infrastructure and resources at OpenAI.
  • • Collaborative environment focused on safety, human needs, and equitable AI deployment.
  • • Inclusion in a mission-driven team shaping the future of general-purpose artificial intelligence.

Skills & Technologies

Hybrid

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About OpenAI, Inc.

OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.

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