Summary
Sebastien Dery is a Staff Machine Learning Engineer with 11 years of experience building production ML systems across industry and research, currently working on world models and curiosity-driven learning at Apple in the Bay Area. His background spans large-scale ML at Apple and the Chan Zuckerberg Initiative—covering knowledge graphs, declarative ML, LLMs, benchmarking, grounding, and safety—alongside early work in weak supervision and human-in-the-loop data intelligence. He pairs deep neuroimaging and biomedical engineering roots from McGill with practical data-science engineering (Spark/GraphX, distributed graph processing) to tackle complex signal and graph problems. An interdisciplinary thinker, he also practices stone sculpture, reflecting a hands-on creative approach to problem solving and design. Sebastien holds advanced training in AI and neuroimaging and is known for bridging rigorous research methods with production-focused ML engineering.
11 years of coding experience