Machine Learning And Artificial Intelligence Research Engineer at Chalmers University of Technology (CTH)
Gothenburg, Sweden
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Summary
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Senior
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Viktor Rehnberg is a Machine Learning and AI Research Engineer with eight years of experience bridging rigorous physics-based modeling and practical ML at Chalmers University of Technology, where he supports national supercomputing resources and scales models across multi-GPU/multi-node environments. Trained in engineering physics (MSc 4.75/5), he has a strong mathematical foundation and a track record in high-stakes team research—from international physics competitions to AI Safety Camp projects exploring modularity and interpretability in neural networks. His research focuses on technical AI safety, including mechanistic anomaly detection benchmarks and decision-theoretic work on shutdownability and partial preferences, combining theoretical work with empirical implementation in PyTorch. Motivated by effective altruism and longtermism, Viktor brings a rare mix of hands-on HPC/ML engineering, formal analytic skills, and a commitment to reducing existential risk for future generations.
8 years of coding experience
1 year of employment as a software developer
AI and Machine Learning, AI and Machine Learning at Chalmers University of Technology
Gymnasieexamen, Naturvetenskaplig spetsutbildning, Matematik, Gymnasieexamen, Naturvetenskaplig spetsutbildning, Matematik at Luleå gymnasieby
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Viktor Rehnberg - Machine Learning And Artificial Intelligence Research Engineer at Chalmers University of Technology (CTH)