Job description
LawZero • Montreal, Canada
Montreal, Canada
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In this role, you'll develop and evaluate probabilistic inference methods, focusing on amortized inference and translating theoretical insights into practical implementations.
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Develop inference methods for high-dimensional distributions and learning methods for large probabilistic graphical models.
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Design evaluation strategies for methods relying on probabilistic inference.
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Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
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Implement theoretical proposals and analyze results to guide research directions.
LawZero is a nonprofit committed to advancing research and creating technical solutions that enable safe-by-design AI systems.