Researcher, Alignment Interpretability
$295k - $500k • Remote • San Francisco • FullTime
Posted 1mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Research Engineer
About the job
OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. The Interpretability team studies internal representations of deep learning models, aiming to understand model behavior and engineer models with more understandable representations, with a particular focus on ensuring the alignment of powerful AI systems.
Responsibilities
- Develop and publish research on techniques for understanding representations of deep networks.
- Engineer infrastructure for studying model internals at scale.
- Collaborate across teams on unique projects.
- Guide research directions toward demonstrable usefulness and/or long-term scalability.
Requirements
- Ph.D. or equivalent 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 AI safety & alignment, mechanistic interpretability, or related disciplines.
- Enthusiasm for long-term AI safety & alignment and technical paths to safe AGI.
- Excitement about working with large-scale AI systems and OpenAI's resources.