About You
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You have a PhD in computer science, machine learning, physics, mathematics, or a related field with 2+ years of post-doctoral or industry research experience, or a Bachelor's or Master's degree with 5+ years of hands-on research and engineering experience in model interpretability or representation analysis
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You have a strong publication record at top-tier venues (e.g., NeurIPS, ICML, ICLR) with contributions to mechanistic interpretability, representation analysis, probing methods, or model understanding
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You have hands-on experience analyzing the internal representations of large neural networks, with demonstrated ability to design experiments that reveal what models have learned
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You are proficient in Python and PyTorch, and have experience working with large models on GPU infrastructure
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You have demonstrated the ability to take interpretability research from experiments to usable tools: you do not just analyze models, you build systems others can use
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You write production-quality code that is well-tested and maintainable, and you are comfortable working in shared codebases with version control and code review
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You think carefully about what constitutes evidence that a model has learned a concept, and you design experiments that distinguish real capabilities from artifacts
You have contributed to open-source machine learning projects
Our Values
❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.
🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.
🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.
📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.
🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.