Researcher, Alignment Interpretability
Researcher developing and publishing mechanistic interpretability techniques, building infrastructure to study model internals, and guiding alignment-focused research. Requires research experience in machine learning or a related field, strong engineering skills, and proficiency in Python or similar languages.
About the job
Responsibilities
- Develop and publish research on techniques for understanding representations of deep neural networks.
- Engineer infrastructure for studying model internals at scale.
- Collaborate across teams on research projects.
- Guide research directions toward demonstrable usefulness and long-term scalability.
Requirements
- 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 programming languages.
- Experience or strong interest in AI safety, alignment, mechanistic interpretability, or related disciplines.
- Ability to work with large-scale AI systems.
- Strong quantitative reasoning, engineering, and research skills.
Nice-to-haves
- Deep understanding of technical paths toward safe AGI.
- Experience studying internal representations and model behavior.
Skills
Mechanistic Interpretability, Ai Safety, Ai Alignment, Python, Deep Learning, Machine Learning, Neural Networks, Research Engineering, Quantitative Reasoning, Large-Scale Ai Systems
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