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Meta/Facebook, AI and Systems Position ID: Meta/Facebook -AI and Systems -RESEARCH [#29126] Position Title: Position Type: Government or industry Position Location: Menlo Park, California 94025
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hyperparameter optimization, meta-learning, and adversarial training. The general bilevel problem can be written as: min F (x, y∗(x)) where y∗(x) = arg min f (x, y), d
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This position is ideally suited to someone wishing to transition from a post-doctorate career in academia to commercial software and algorithm development. You are not expected to be an AI expert
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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systems. Montreal is home to a very active AI community including industry-led AI research groups (Google, Meta, DeepMind, Microsoft, Samsung, ServiceNow, Borealis) as well as a thriving start-up community
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decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
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the direction of Prof Hamid Bouchachia . The project will develop Scenario-driven and opportunistic machine learning with the aim to: design and develop AutoML mechanisms for performing scenario-based algorithm
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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, and YouTube. Familiarity with social media management tools (e.g., Sprout Social, Hootsuite, Later) and analytics platforms (e.g., Meta Insights, Google Analytics). Strong skills in short-form video
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to temporal data, such as RF I/Q streams, audio, or video. (2) Quantum information science and engineering, with emphasis on quantum algorithm development using current and/or near-term quantum computers (3