Tabular Deep Learning Research Scientist

Research and test Tabular Deep Learning models at TD in Toronto, using quantitative methods, cloud environments, and large-scale datasets.As an Applied Machine Learning Scientist I, you will contribute to independent model validation for Generative AI, Natural Language Processing, and other AI/ML models. Your focus will include Tabular Deep Learning and Foundation Model evaluation, testing, and explainability. The position reports to a Senior Applied Machine Learning Scientist.Key Responsibilities:
Conduct research in Tabular Deep Learning evaluationWork with distributed cluster and cloud environmentsAnalyze transactions and large document collectionsIdentify model improvements through statistical techniquesPrepare clean technical reports and recommendationsRequirements:
Strong quantitative skills and advanced degreeDeep Learning technology stack experienceProgramming proficiency in Python or related languagesFamiliarity with data structures and algorithm designAbility to implement algorithms from research papersUse research, programming, and quantitative expertise to evaluate advanced deep learning models within TD Model Validation.
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