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Preferred), C, PythonPREFERRED QUALIFICATIONS- Masters degree or PhD in computer science or equivalent- Experience optimizing Tensorflow, PyTorch or JAX deep learning models- Experience with multiple toolchains like LLVM, XLA/OpenXLA, MLIR, TVM.
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Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience.
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Lead the effort for Merchant machine learning: Applying supervised, semi-supervised, LLM, Deep Learning, Multi-modality AI to improve or Merchant experience and build new merchant’s productsLead the team to build AI powered products for restaurants onboarding, build logistic ETA that provides the most accurate and robust time prediction for non-restaurants DoorDash logistics service, improve tax categorization prediction.
$302,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field. Experience in machine learning, deep learning, information retrieval, natural language processing or data mining.
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PhD in a relevant field (computer science, machine learning, AI, statistics, physics, Strong understanding of machine learning approaches and algorithms: Deep Learning, LLM, Generative Models, NLP.
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MS or Ph. D degree in Computer Science, Machine learning, Statistics, or related field. We leverage a wide range of ML technologies, such as LLM, multi-modal learning, distillation, etc to that end.
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MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field. Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining.
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