Sr Applied Scientist - Seller Pricing & Shared Services jobs at Amazon in United States, Seattle
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United States
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Seattle
517 jobs found
12.06.2024
A
Amazon Sr Applied Scientist - Seller Pricing & Shared Services United States, Washington, Seattle
DESCRIPTIONThe Applied Scientist will apply advanced techniques like Recurrent Neural Networks (RNNs), Long Short Term Memory networks (LSTMs), CNNs and Transformers to develop robust price and deal forecasting models.Proficiency in...
Design and evaluate state-of-the-art algorithms and approaches in multi-modality fusion, large language models, continual learning, and federated learning. Extend and invent new algorithms and scientific approaches that improve on the...
DESCRIPTIONThe key strategic objectives for this role include: Helping to support production systems that take inputs from multiple models and make decisions in real time. Automating feedback loops for algorithms...
DESCRIPTIONKey job responsibilitiesYou set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms.Your solutions are exemplary in terms of algorithm design, clarity,...
DESCRIPTIONKey job responsibilities Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language related challenges in the international seller services domain....
DESCRIPTIONYou will research on large amounts of tabular, textual, and product image data from product detail pages, selling partner details and customer feedback, evaluate state of the art algorithms and...
DESCRIPTIONKey job responsibilities Successfully execute & deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems.BASIC QUALIFICATIONS PhD, or Master's...
DESCRIPTIONThe Applied Scientist will apply advanced techniques like Recurrent Neural Networks (RNNs), Long Short Term Memory networks (LSTMs), CNNs and Transformers to develop robust price and deal forecasting models.Proficiency in...
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