Waikoloa, Hawaii
WACV 2023
January 3 - 7, 2023
Waikoloa, Hawaii


The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) is one of the premier international computer vision events, comprising the main conference and several co-located workshops and tutorials.

Sponsorship Details


WACV 2023 Workshop on Pretraining Large Vision and Multimodal Models Workshop
January 3
This workshop centers on pretraining for vision and language models, including both computer vision and multimodal applications.

Amazon speaker: R. Manmatha

Amazon organizers: Emily Webber, Corey Barret, Arjun Balasubramanian, Can Karakus

Amazon program committee: Larry Davis, Son Tran, Raffay Hamid, Ali Jahanian

Website: https://sites.google.com/view/wacv2023-workshop
WACV 2023 Workshop on Video/Audio Quality in Computer Vision
January 7
This workshop addresses topics related to video/audio quality in machine learning and computer vision.

Amazon organizers: Yarong Feng, Yuan Ling, Zongyi (Joe) Liu, Hai Wei, Yixu Chen

Website: https://sites.google.com/view/wacv2023-workshop-quality-va
WACV 2023 Workshop on Monocular Depth Estimation Challenge
Unknown date
The workshop will consist of two parts: invited keynote talks discussing current developments in MDE and a challenge organized around a novel benchmarking procedure using the SYNS dataset.

Amazon organizer: Chris Russell

Website: https://jspenmar.github.io/MDEC

Related content

US, CA, Culver City
Job summaryWant to shape the future of streaming through economics, statistics, and machine learning? We’ve got the shows people love to watch (Jack Ryan, The Expanse, The Boys) and the Emmy Awards love to honor (The Marvelous Mrs. Maisel, Fleabag). You’ve got the skills to build innovative models to quantitatively optimize decisions on release schedules, and content development.We are looking for a customer-focused, solutions-oriented Economist for our Video Economics team. Our team is rapidly growing to provide insights towards our audience and program development on a mission to deliver a right mix of content at the right time. We develop and productionalize products using a mix of economic, statistical, and machine learning models. Our products are adopted and used by Amazon Studios to support our creative and investment decisions around the globe.You will work closely with Amazon Studios Programming and Strategy team to develop a release schedule optimization model to drive sustained and accelerated customer growth of Prime Video. The ideal candidate for this role should have experiences in dynamic optimization, interchange decisions, and/or time series models. The systems you build and the algorithms you create will directly impact Amazon Original programming and scheduling decisions. Your work will help us deliver popular and high-quality content that millions of customers love to watch and talk about.Key job responsibilities• Use statistics, econometric, and machine learning techniques to create scalable solutions for business problems• Design, experiment and evaluate highly innovative models for Amazon Original programming and scheduling decisions• Understand the business reality behind large sets of data and translate a business use case to manageable modeling tasks• Work closely with internal stakeholders in programming, strategy, and scheduling.
US, IL, Chicago
Job summary The Selling Partner Fees team owns the end-to-end fees experience for two million active third party sellers. We own the fee strategy, fee seller experience, fee accuracy and integrity, fee science and analytics, and we provide scalable technology to monetize all services available to third-party sellers. We are looking for a Senior Economist to lead the development of models to improve our understanding of the impact of fee changes on third-party programs, such as Fulfillment by Amazon (FBA), worldwide. The ideal candidate will be an influencer with outstanding technical skills and a practical mindset. They will lead the development of statistical and machine learning models to understand third party seller behaviors and enhance our pricing calculation models. This candidate will be comfortable leading research in unexplored areas and communicating their findings with senior leadership. They will enjoy dealing with ambiguous problems and working in a fast-paced and dynamic environment. The position also requires collaboration with other scientists (Economists, Data Scientists…), Strategy Analysts, Product Managers and Software Developers. Responsibilities: · Design and develop rigorous models to assess the causal impact of fees on third party sellers’ behavior and business performance. · Lead enhancements into existing fee calculation models to maximize the long term health of the Amazon third-party marketplace. · Design and conduct experiments to validate theories and improve understanding of Amazon’s third party ecosystem. · Own the scientific vision and direction related to fees worldwide. · Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders. · Act as ambassador of the fees scientific community.
US, IL, Virtual Location - Illinois
Job summaryThe People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for economists who are able to apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.Key job responsibilitiesUse causal inference methods to evaluate the impact of policies on employee outcomes. Examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. Use scientifically rigorous methods to develop and recommend career paths for employees. A day in the lifeWork with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the teamWe are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer.
GB, London
Job summaryEmbrace the challenge and accelerate your growth with Amazon’s International Public Policy team. Like our business interests, our policy issues are broad, forward-thinking, and driven by what is best for our customers. The International Public Policy team works with a wide range of national, local, and supranational policymakers, industry organizations, NGOs and academia across regulatory and policy issues, spanning the consumer and commercial environment, including but not limited to digital policy, consumer policy, economic policy, privacy, intellectual property, logistics and tax policy.We are looking for a Principal Economist to kick start our Economics-Policy team in Europe and who is able to shape the regulatory debate inside and outside of Amazon. She/He will produce and direct teams of researchers to produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon. She/he will work in close coordination with public policy teams across Europe to engage with policymakers, regulators, and relevant industry organizations to advance Amazon’s policy priorities in these areas. The position will also work collaboratively with senior business leadership, legal, and PR to ensure alignment on the advocacy agenda and priorities for Amazon’s engagement.
US, WA, Seattle
Job summaryAmazon Prime is looking for a talented Economist to help manage our ever growing information needs and support analysis of increasingly complex business questions. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos and music, in an expanding number of international marketplaces. The Economist role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management. As an Economist within Amazon Prime, you will build a foundational econometrics used to help Prime plan company-wide investments in Prime. To do so, you will work closely with a team of structural and theoretical econometricians, applied and research scientists, and business and software development teams, along with Amazon Scholars (leading academic scientists from major universities). You will propose and estimate novel statistical and econometric models at the scientific frontier of time series statistics, structural econometrics, and machine learning. You will directly inform large-scale strategic decisions about how to improve the Prime membership, in partnership with senior scientific and business leaders. You will serve as a science leader across our worldwide science teams (now spanning pods within multiple marketplaces). You will utilize and enhance massively parallelized scientific computing paradigms, in partnership with our scientific software teams. This position is unique in its exposure to senior members of the Prime team and other Amazon business units. The successful candidate will have demonstrated capacity for successfully building, estimating, and defending causal statistical models using software such as R, Python, Scala, or the equivalent, as well as how to create production-quality scientific software. Knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. The role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members. It can scale as both a large-scope individual contributor role, or as a manager role, depending on candidate skillset and career aspirations.Location options for this position include Seattle, WA and Arlington, VA.
US, DC, Washington
Job summaryThe Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for an economist with expertise in applying causal inference methods, especially experimental design to topics in labor, personnel, education, or behavioral economics. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.The candidate will work with economists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. We are looking for a creative thinker who can combine a strong economic toolbox with a desire to learn from others, and who knows how to execute and deliver on big ideas.Ideal candidates will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.
US, WA, Bellevue
Job summaryAre you excited about powering Amazon’s expansion through economic models? Do you thrive in a fast-moving, innovative environment that values data-driven decision making and sound scientific practices? We are looking for PhD Economists to build the next level of economic models that will help Amazon grow and succeed. This role will focus on expanding our reach to analyze various fulfillment options for Amazon's network worldwide.You will have a proven track-record of delivering measurable benefit to business through econometric models, strategic analysis and model building. You will be comfortable handling complex economic problems and making the right modeling tradeoffs by applying strong economic reasoning. You will be able to break down complex information and insights into clear and concise language and be comfortable presenting your findings to audiences with a broad range of backgrounds.Key job responsibilitiesAs an economist, you will work with other scientists, product managers, software engineers, and business intelligence engineers to help deliver forecasting and decision support models leveraging econometric, statistical and ML techniques. The models you develop will drive changes in transportation and fulfillment networks to ensure we’re providing customers with the fastest delivery experience while optimizing costs. You will be expected to own the development of econometric models and to manage the modelling and validation work for your analysis, and working with SDEs to integrate the models into production systems. About the teamSCOT Network Topology science team focuses on research areas and tools that determine Amazon outbound network design as we transition to relying on our internal carrier network and accelerate one-day delivery speed. There are various strategic questions the team is attempting to answer, such as: what is the impact of placement on outbound cost and delivery speed? What is the optimal network design given capacity constraints? How can we forecast accurately fulfillment pattern for different customer clusters? In addition to network, we also use and techniques to evaluate new facilities recommendation for long term estimates. We use to approximate the network, and simulation of how our choices will perform. Our team is responsible for building the core intelligence, insights, and algorithms that support the real estate acquisition strategies for Amazon physical stores. If you are interested in diving into a multi-discipline, high impact space this team is for you. The team is a mixture of Research/Applied Scientists, Software Engineers, Business Intelligence Engineers and Product Managers.To help describe some of our challenges, we created a short video about at Amazon - http://bit.ly/amazon-scot
US, VA, Arlington
Job summary Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please visit https://www.amazon.science for more information. Within Alexa Shopping, we are forming a new Customer Activity Data Science team that delivers insights into who our customers are, what they want to do with their shopping AI, and how well we are meeting those needs today. These are not insights for insights sake. The team drives action in the business on behalf of customers. As a Senior Economist, you will be a thought leader for the Alexa Shopping organization understanding customer shopping activity in Amazon stores and everywhere they shop. To do this, you will work across the full range of the economic skillset, e.g. influencing the data instrumentation roadmap, developing and driving the organization’s understanding and measurement of economic value, implementing state of the art economic and econometric models, and driving action and impact in the business. This position requires innovative thinking, working cross functionally and the ability to quickly approach large ambiguous problems and apply problem-solving and technical/engineering expertise to rapidly research, validate, visualize, and deliver solutions. You will use this modelling to influence the most senior leaders in the organization, directly impacting Alexa Shopping’s feature and marketing roadmaps. The ideal candidate is detail-oriented, analytical, and has excellent business acumen and communication skills. You are perfect for this role if you are an entrepreneur; someone who can help bootstrap a new team applying economic solutions to business problems in a wholly new way. You match your technically deep skills with a facility to easily translate problems to and from the business domain. You are excited by the impact science and economic models can have on customers and you will work with business leaders to drive that impact. You thrive in a fast-paced, ambiguous, growth-oriented, collaborative environment and you are able to prioritize multiple deliverables to meet customer and business needs
US, WA, Seattle
Job summaryPrime Video is shaping the future of digital video entertainment. Our vision is to provide the most comprehensive global video service that customers choose first and spend the most time engaged with. Our Amazon Prime subscription streaming service provides a broad selection of shows, movies and live sports included with customers’ subscription to Amazon Prime. With Transactional Video on Demand (TVOD) (Rent or Buy) and Channels (subscribe to premium channels such as HBO or Starz), we augment our proposition by giving customers immediate access to the broadest selection of video content available anywhere (nearly 200,000 titles), and we drive monetization opportunities for our business. The Worldwide Marketplace Science team within Amazon Prime Video builds commercial optimization tools for our TVOD and Channels businesses. In this role, you will invent science and systems for TVOD and Channels, including ML-based pricing, personalized promotions, and subscription bundles, among others. You will work with a team of economists and machine learning scientists to design commercial products, and you will work with technology teams to productize and maintain the associated solutions. We are looking for the next outstanding economist to join our interdisciplinary team of analysts, data scientists, economists, and engineers. The ideal candidate combines econometric acumen with strong business judgment. You have versatile modeling skills and are comfortable extracting insights from observational and experimental data. You translate insights into action through proofs-of-concept and partnerships with engineers and data scientists to productionize. You are excited to learn from and alongside seasoned analysts, scientists, engineers, and business leaders. You are an excellent communicator and effectively translate business ideas and technical findings into business action (and customer delight). Key Responsibilities o Serve as a science / strategy advisor to global TVOD and Channels businesses and anticipate their economic modeling needs. o Partner with business and finance teams to build models and decision frameworks for TVOD and Channels, such as: -Foundational models for informed and repeatable decision-making -Optimizing content life-cycling and pricing across lines of business -Valuing portfolios of content -Extending and translating existing subscription video frameworks to TVOD and Channels
US, CA, Irvine
Job summaryDo you have a passion for diving deep to uncover key insights that drive critical business decisions? If yes, the Customer Behavior Analytics Campaign Measurement and Optimization (CBA-XO) team is looking for somebody with your enthusiasm and skills to work as part of the team. We are looking for an economist who is curious, driven, and passionate about marketing insights and analytics. If you are looking for a role where you can make a major impact, we want to meet you. The Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience. CBA-CMO’s mission is to make Amazon’s marketing the most measurably effective in the world. Our long-term objective is to measure the incremental impact of all Amazon’s marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon’s marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance, we will lead the Amazon worldwide marketing community by providing critical cross-country insights that can power marketing best practices and tenets globally. This role will work closely with other scientists and engineers to develop and run statistical models to understand customer behavior and how customers respond to Amazon’s marketing. You will collaborate build modeling solutions, partner with software developers and data engineers to build end-to-end data pipelines and production code, and have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, automate, and scale the analysis, and develop metrics that will enable us to continually delight our customers worldwide. As a successful economist, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. How have deep expertise in research design and causal analysis. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Responsibilities Include:Build statistical models and tools using technical knowledge in causal inference, machine learning, statistical modeling, and other quantitative techniques.Understand the business reality behind large sets of data and develop meaningful analytic solutions.Innovate by adapting to new modeling techniques and procedures.Utilizing code (Python, R, etc.) for analyzing data and building statistical models to solve specific business problemsImprove upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parametersCollaborate with researchers, software developers, and business leaders to define product requirements and provide analytical supportCommunicating verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendationsKey job responsibilitiesEmploy reduced form causal econometric methods to estimate the treatment effects of marketing.Utilize model estimates to provide insights to customers and drive business decisions.Identify strategically important areas of research to improve our reduced form causal analysis toolkit.