Customer-obsessed science


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March 10, 2023Augmenting query-product graphs with hypergraphs describing product-product relationships improves recall score by more than 48%.
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March 09, 2023Predictive planning, uncertainty modeling, uniquely constrained trajectory optimization, and multiscale planning help customers trust Astro.
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March 07, 2023Using reinforcement learning improves candidate selection and ranking for search, ad platforms, and recommender systems.
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April 30 - May 4, 2023
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May 1 - 5, 2023
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March 16, 2023SURE provides students from historically underrepresented communities with research experiences at top-tier universities.
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March 15, 2023The submission period opens March 15 and closes on April 26.
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March 13, 2023Learn how Amazon uses machine-learning techniques to modify different aspects of speech — tone, phrasing, intonation, expressiveness, and accent — to create unique Alexa responses.
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March 08, 2023This year’s cohort is researching, among other topics, online changepoint detection algorithms and automated reasoning.
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DCC 20232023Motion Compensated Temporal Filtering (MCTF) is a pre-processing approach employed prior to video encoding, for improving the compression efficiency. Prior MCTF designs (e.g. [1]) use pre-defined frame-level quantization parameters (QPs) for different slice types and temporal layers, and operate with a fixed Group of Pictures (GOP) structure. However, commercial encoders can adapt GOP structure based upon
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2023We propose an approach to estimate the number of samples required for a model to reach a target performance. We find that the power law, the de facto principle to estimate model performance, leads to large error when using a small dataset (e.g., 5 samples per class) for extrapolation. This is because the log-performance error against the log-dataset size follows a nonlinear progression in the few-shot regime
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MIT Sloan Sports Analytics Conference 20232023Machine learning (ML)-powered football analytics has received considerable interest in recent years, with majority of existing analytic measures centered around offense strategies and performances. In contrast, the defensive side of the game has received relatively less attention and development. At the core of understanding and analyzing any defensive strategy is the coverage scheme, i.e., the rules and
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2023Humans naturally decompose their environment into entities at the appropriate level of abstraction to act in the world. Allowing machine learning algorithms to derive this decomposition in an unsupervised way has become an important line of research. However, current methods are restricted to simulated data or require additional information in the form of motion or depth in order to successfully discover
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2023We present HumanEvalX and MBXP, execution-based code completion benchmarks in 10+ programming languages. These datasets are generated by our conversion framework that transpiles prompts and test cases from original datasets (HumanEval and MBPP) to the corresponding data in a target language. Based on these benchmarks, we are able to evaluate code generation models in a multilingual fashion, and in particular
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March 01, 2023New fellows include PhD candidates in operations research and computer science.
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February 21, 2023University teams are competing to develop a bot that best responds to customer commands in a virtual world.
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February 15, 2023Second iteration features five new teams.
Working at Amazon
View allMeet the people driving the innovation essential to being the world’s most customer-centric company.
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March 14, 2023Ren Zhang and her team tackle the interesting science challenges behind surfacing the most relevant offerings.
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February 28, 2023How the former astrobiology professor is charting new territory as a scientist for Amazon Flex.
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February 08, 2023How her background helps her manage a team charged with assisting internal partners to answer questions about the economic impacts of their decisions.