Researcher, Interpretability

OpenaiOpenai·Remote(San Francisco)
Other

WFA Digital Insight

The demand for AI safety specialists is on the rise, with a 25% growth in job postings over the last year. OpenAI is at the forefront of this field, and this role offers a unique chance to work on cutting-edge projects. With the global AI market expected to reach

90 billion by 2027, professionals with expertise in interpretability and machine learning are in high demand. Before applying, candidates should be prepared to showcase their research experience, programming skills, and passion for AI safety. As a leader in the field, OpenAI provides a collaborative environment that fosters innovation and growth.

Job Description

About the Role

The Interpretability team at OpenAI is dedicated to studying the internal representations of deep learning models. As a researcher in this team, you will play a critical role in developing and carrying out research plans in mechanistic interpretability. Your work will have a direct impact on ensuring the safety of powerful AI systems. The team's collaborative and curiosity-driven approach creates an environment where you can thrive and grow as a professional.

The role involves working closely with a highly motivated team to develop and publish research on techniques for understanding representations of deep networks. You will also engineer infrastructure for studying model internals at scale and collaborate across teams on projects that OpenAI is uniquely suited to pursue. Your expertise will guide research directions toward demonstrable usefulness and long-term scalability.

OpenAI's mission to ensure that general-purpose artificial intelligence benefits all of humanity is at the core of this role. The company's commitment to safety and human needs is reflected in its charter, which outlines the principles and guidelines for the development and deployment of AI systems.

What You Will Do

  • Develop and publish research on techniques for understanding representations of deep networks
  • Engineer infrastructure for studying model internals at scale
  • Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue
  • Guide research directions toward demonstrable usefulness and/or long-term scalability
  • Develop and carry out a research plan in mechanistic interpretability
  • Work closely with the Interpretability team to achieve project goals
  • Participate in the design and implementation of new research projects
  • Stay up-to-date with the latest developments in the field of AI safety and interpretability
  • Contribute to the development of OpenAI's research strategy and goals

What We Are Looking For

  • A Ph.D. or research experience in computer science, machine learning, or a related field
  • 2+ years of research engineering experience
  • Proficiency in Python or similar languages
  • Experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines
  • Strong background in engineering, quantitative reasoning, and the research process
  • Ability to work in a collaborative environment and communicate complex ideas effectively
  • Enthusiasm for long-term AI safety and a deep understanding of technical paths to safe AGI
  • Alignment with OpenAI's mission and charter

Nice to Have

  • Experience with large-scale AI systems and infrastructure
  • Familiarity with OpenAI's unique resources and technologies
  • A strong publication record in top-tier conferences and journals
  • Experience with collaborative research and project management

Benefits and Perks

  • Competitive compensation package
  • Opportunity to work on cutting-edge projects in AI safety and interpretability
  • Collaborative and dynamic work environment
  • Access to OpenAI's unique resources and technologies
  • Professional development opportunities and support for continued learning
  • Flexible work arrangements and remote work options
  • Comprehensive health and wellness benefits
  • Generous parental leave policy and family support

How to Stand Out

  • Make sure to highlight your research experience and publications in the field of AI safety and interpretability
  • Showcase your programming skills, particularly in Python or similar languages
  • Demonstrate your understanding of OpenAI's mission and charter, and explain how your work aligns with these principles
  • Prepare to discuss your experience with collaborative research and project management
  • Be ready to provide examples of your ability to communicate complex ideas effectively
  • Show enthusiasm for long-term AI safety and a deep understanding of technical paths to safe AGI
  • Research OpenAI's unique resources and technologies, and be prepared to discuss how you can leverage these in your work

This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.