January 4 - 8, 2022
Waikoloa, Hawaii


WACV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

Sponsorship Details

Amazon organizing committee members

Accepted publications


WACV 2022 Workshop on Video/Audio Quality in Computer Vision
January 4
Amazon organizers: Larry Davis, Zongyi Liu, Yarong Feng, Yuan Ling, Hai Wei, Yinling Liu
Website: https://sites.google.com/view/wacv2022-workshop-quality-va/home
WACV 2022 Workshop on Hazard Perception in Intelligent Vehicles (HPIV)
January 8
Amazon speaker: Ming Lin (Amazon scholar)

Website: https://ardhendubehera.github.io/HPIV/index.html

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US, CA, Sunnyvale
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US, CA, San Francisco
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GB, London
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US, WA, Seattle
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US, WA, Seattle
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US, VA, Arlington
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US, WA, Seattle
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US, Virtual
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US, WA, Seattle
Job summaryWe are seeking a seasoned Senior Economist to accelerate the growth of Amazon Prime through econometrics and data analytics. Our vision is for Prime to be the Earth’s largest and most loved membership program. We look forward to partnering with you to advance our innovation on customers’ behalf.Amazon has a trailblazing track record of working with Ph.D. economists in the tech industry and offers a unique environment for economists to thrive. As an economist at Prime, you will apply the frontier of econometric and economic methods to Amazon’s terabytes of data and intriguing customer problems. Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves.In this role, you will build ground-breaking, state-of-the-art causal inference models to guide multi-billion-dollar investment decisions around the global Amazon marketplaces. You will own, execute, and expand a research roadmap that connects science, business, and engineering and contributes to Amazon Prime’s long term success. The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced and ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results.Job responsibilitiesWork with Product, Finance, Data Science, and Data Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches.Innovate on how Prime can leverage data analytics to grow faster.
US, NY, New York
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