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January 4 - 8, 2022
Waikoloa, Hawaii
Conferences & Events
WACV 2022

Overview

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

Platinum
Conference website
Related research

Amazon organizing committee members

Accepted publications

Workshops

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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Economist - New Seller Success, Selling Partner Recruitment and Success Science Team
US, CA, Sunnyvale
Job summaryAre you passionate to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions to help Selling Partners and Customers on Amazon? Want to work on the business that is the lifeblood of Amazon? Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. Our team will invent and innovate across technology, processes and people to grow the program, improve engagement and satisfaction and enable scalable solutions. We are looking for an Economist to lead us to identify data-driven insight and opportunities to improve our seller recruitment strategy and drive new seller success. As a successful economist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of econometric models and advanced quantitative techniques for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with economists and scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research). What you'll do:· Provide data-driven guidance and recommendations on strategic questions posed by the NSS leadership. · Design and analysis of account coverage experiments and define and analyze success metrics across sales team optimization, marketing and new seller education and recommendation programs.. Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results. · Provide technical and scientific guidance to your team members, both junior and senior. · Communicate effectively with senior management as well as with colleagues from science, engineering, and business backgrounds.
Senior Economist, Ad Measurements Science
US, CA, San Francisco
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.Passionate about Causal Inference and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day). In this role, you will be one of the key Economists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.As an Economist on this team, you will: Leverage ML models to build economic models that help customers leverage Amazon’s Advertising solutions most effectively.Improve our understanding of the advertisers on Amazon through advanced ML modeling and building an ML service that delivers recommendations to advertisers and solves the prioritization and selection of most optimum recommendations and measure impact with explain-ability.Work with Economists, Applied Scientists, Data Scientists to guide roadmaps.Design and analyze experiments (A/B testing etc.) to evaluate different strategiesUse large datasets or experiments to make causal inferences or predictionsWork with engineers to automate science analysis processes and build scalable measurement solutionsReview and audit modeling processes and results for other scientists, both junior and senior.Partner with other science leaders throughout Amazon to develop consistent and repeatable solutions.Communicate with org leaders and business/engineering teams for models, experiments and data analysis.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
Economist, EU Economics
GB, London
Job summaryWe are looking for an Economist to work on exciting and challenging business problems related to Amazon Retail’s worldwide product assortment. You will build innovative solutions based on econometrics, machine learning, and experimentation. You will be part of a interdisciplinary team of economists, product managers, engineers, and scientists, and your work will influence finance and business decisions affecting Amazon’s vast product assortment globally. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.Key job responsibilities* Work on a challenging problem that has the potential to significantly impact Amazon’s business position* Develop econometric models and experiments to measure the customer and financial impact of Amazon’s product assortment* Collaborate with other scientists at Amazon to deliver measurable progress and change* Influence business leaders based on empirical findings
Economist III - AMZ6348
US, WA, Seattle
Job summaryMULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Economist IIILocation: Seattle, WashingtonPosition Responsibilities:Work with chief economist and/or senior management on key business problems faced in Amazon. Apply latest developments of economic thinking to market design, pricing, forecasting, program evaluation, and other areas. Build econometric models. Apply economic theory to solve business problems. Develop new techniques to address quantitative problems and contribute to design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-indifference, regression discontinuity, and IV), forecasting (essential time series models), and industrial organization (e.g. discrete choice, static and dynamic structural models). Leverage big data tools for data extraction.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Economist II, Joint Ads-Consumer Optimization Team
US, WA, Seattle
Job summaryThe Ads business at Amazon has grown significantly in the past 5 years. At the same time, the consumer business has been vibrant for over 20 years and many mechanisms that support it were developed before the emergence of the Ads business. There is an opportunity to jointly optimize many facets of the consumer and Ads business to maximize the overall value prop of Amazon to customers, sellers and the business all up.We are hiring an economist who is excited to work on some of the most ambiguous and fascinating problems at the company with the largest potential impact. A key deficit in jointly optimizing the consumer and Ads business is a lack of economic frameworks to evaluate our business units together. Another is efficient incrementality-based bandit and RL solutions to arbitrate different types of content. Creating cross-organization data-centric frameworks characterizing complementarities and tradeoffs will be a key component of this position. This is largely a greenfield area but there are already many data assets in place for the right deep thinker to create value. Cross organization impact is likely meaning there is material career growth upside for this position. You will work collaboratively with a team of economists, data scientists, and engineers in this position. About the teamOur team takes big swings and handles the toughest, high visibility challenges there are. We have external executive exposure on all workstreams (e.g., not the VP on our team but the partner teams). We also ask people to grow their skills and stretch but make sure that its done in a supportive and fun environment. It’s about impact, advancement, and fun on our team. We’re transparent about motivation for all of our projects: you’ll know precisely why the work you’re doing is important. Lastly, we work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. Our group is also very rigorous: every director level leader and above in our org has > 20 academic publications, have been co-editors of top academic journals, and serves on program committees of Economics and CS conferences. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication-centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point?
Senior Economist, Litigation & Regulatory
US, VA, Arlington
Job summaryWant to help Amazon tell its customer-centric story around the world and work in a highly cross-functional environment including economists, lawyers, scientists, public policy, public relations, and business teams? If yes, keep reading!The Litigation & Regulatory team works with senior management to develop economic models and evidence to support legal and regulatory matters across all lines of our business worldwide, including retail, marketplace services, AWS, consumer experience, shopping and search, and operations. In this role, you will join a team of economists, engineers, and lawyers working to drive deeper understanding of Amazon and the benefits it delivers for customers and other businesses around the world.Key job responsibilitiesProvide data-driven guidance and recommendations on strategic legal and regulatory questions facing Amazon, including worldwide competition.Partner closely with global public policy teams to identify opportunities to apply economic frameworks to current policy debates.Dialogue about Amazon’s economic fundamentals with a wide group of internal and external stakeholders from all disciplines.Interface with teams across Amazon to synthesize business facts and data into compelling economic narratives.Provide economic advice and counsel to stakeholders across Amazon on a broad spectrum of complex and often novel economic issues.Identify opportunities and tests to drive deeper understanding of market dynamics.Synthesize and translate complex findings into relevant and actionable insights.Collaborate with economists, scientists, engineers, and non-technical partners throughout Amazon’s worldwide operations to deliver projects with global scope.Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting, and communicating results.If you are a high judgment economist with a passion for engaging in the current debate, love writing and communicating economic ideas to non-technical audiences, have a knack for quickly distilling facts and data into the most important takeaways, know how to deliver results fast, and you have a quantitative, highly innovative approach to solving problems, we want to talk to you.
Senior Economist, GME Economics
US, WA, Seattle
Job summaryAmazon’s Global Media and Entertainment (GME) organization is creating a future of entertainment where creative content, innovation, and commerce come together. We leverage Amazon’s unique expertise across video, music, gaming, and more to create a truly immersive entertainment experience.Our team, GME Economics, is focused on building science tools to optimize the Amazon entertainment experience, so that we can provide a great customer experience while operating as a sustainable and profitable business. Our team answers questions like: How do innovations in one GME business impact customer growth in another? How do we measure the health of our GME businesses? How can we understand the GME customer lifecycle better, from new acquisitions to power users?We are looking for a Senior Economist with strong background in causal inference to help us answer the questions above. The candidate will partner with other Economists, DS and Finance/Business teams to build out measurement models, run experiments, and answer major strategic questions about how to invest in the business.Key job responsibilitiesBuild econometric models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many featuresIndependently identify new opportunities for leveraging economic insights and models in the GME businessesDevelop and execute science products from concept, prototype to production incorporating feedback from customers, scientists and business leadersWrite technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgroundsA day in the lifeOne of the key questions is how to improve discoverability of the GME businesses on the Amazon.com website. Amazon.com provides a surface for customers to discover businesses around Amazon. In this role, one of the main responsibilities would be to take the lead on this topic, understanding the systems involved and decision making process, and helping improve measurement on behalf of the GME businesses.Other potential projects on the team include building pricing or long-term valuation models for the various GME businesses, to help them navigate the shifting media landscape. This could range from understanding the value of launching a completely new business, to understanding the long-term value of major content investments in an existing business.
Intern - Economics, Core AI -- Team Camp
US, Virtual
Job summaryWe are looking for an excellent researcher to help us launch AXLab, an experimental lab to de-risk innovations before they reach the live lab stage. For any innovation to be tested, AXLab will create the relevant lab simulation of the Amazon context (our website, Seller Central, etc.) Using human participants, drawn both from university pools and from a curated panel of Amazon stakeholders, our lab simulation will allow us to build safe testbeds for innovation. This lab-based method is grounded in game theory and experimental economics. It has a proven track record for complex innovations. Successful candidates will be detail-oriented, organized, and responsible. They will be eager to learn how to design and implement sophisticated experiments. Some knowledge of econometrics, as well as basic familiarity with experimental methods are required.This is a full-time position at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to design and implement relevant experiments, collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
Economist, Customer Growth and Engagement
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.
Economist, Advertising Finance Econ and Science
US, NY, New York
Job summaryAdvertising Finance at Amazon.com is seeking an exceptional Economist to join us. The most important question the Economics and Science team trying to answer includes: What are the long-term impacts of our initiatives? Where will Advertising’s growth come from in the next year? How big the Advertising business become over the next three years? Which widgets are poised to quintuple in size? What are the interactions between consumer and Ads business?We’re building a team to answer these questions using economics methods. This Economist role will collaborate directly with other economists, data scientists, financial managers and engineers to build accurate predictive models, estimate program impacts, and will have exposure to senior leadership as we communicate results and provide scientific guidance to the business.A successful candidate will be a problem solver who excels in translating broad business problems into specific analytics projects, enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interact with the business teams.This role is open to the following locations: Los Angeles, Seattle, San Francisco, Washington DC/Arlington, VA. Key job responsibilitiesCollaborate with economists, data scientists, financial managers, and business leaders to define product requirements, provide science support, and communicate feedback.Implement economics methods to solve specific business problems utilizing code (Python, R, Scala, etc.).Improve existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.Presenting data in a format that is immediately useful to answer the critical business questions.
View from space of a connected network around planet Earth representing the Internet of Things.
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