Amazon Search: The Joy of Ranking Products

2016
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Abstract
Amazon is one of the world’s largest e-commerce sites and Amazon Search powers the majority of Amazon’s sales. As a consequence, even small improvements in relevance ranking both positively influence the shopping experience of millions of customers and significantly impact revenue. In the past, Amazon’s product search engine consisted of several handtuned ranking functions using a handful of input features. A lot has changed since then. In this talk we are going to cover a number of relevance algorithms used in Amazon Search today. We will describe a general machine learning framework used for ranking within categories, blending separate rankings in All Product Search, NLP techniques used for matching queries and products, and algorithms targeted at unique tasks of specific categories — books and fashion.
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US, CA, Sunnyvale
Do you want to join Alexa AI -- the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?If your answers to these questions are “yes”, then come join the Alexa Artificial Intelligence team. We are responsible for the deep learning technology that is central to the automated ranking and arbitration to optimize for end-to-end customer satisfaction.As a Senior Applied Scientist you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
US, WA, Seattle
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GB, BST, Bristol
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GB, BST, Bristol
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US, CA, Palo Alto
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US, NY, New York
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US, WA, Seattle
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US, WA, Seattle
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US, WA, Seattle
Amazon is looking for an ASR/NLP domain expert, someone who will contribute to our long-term research efforts.Our mission is to push the envelope in Automatic Speech Recognition (ASR), NLP, Audio Signal Processing and Dialog Management, in order to provide the best-possible experience for our customers. Candidates can work in Seattle OR Sunnyvale!As a Senior Speech and Language Scientist, you will work with talented peers to research ASR/NLP and contribute to our long-term research efforts. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
US, WA, Seattle
Amazon Fulfillment Technologies is looking for a motivated Operations Research Scientist with strong modeling and analytical skills to join our team. As a scientist on our team, you will play an integral role in developing analysis approaches, strategies, and models that improve the efficiency and cost effectiveness of our global network of warehouses (fulfillment centers). Our scientists work with a mix of labor planning, scheduling, forecasting, and operational decision making models. These models present a range of interesting challenges such as: (i) how do we express our problems in a way that can be solved and what are the appropriate solution techniques (ii) how do we quantify the impact of our decisions on operations (iii) how do we improve our model inputs (forecasts, etc) and make our models robust to errors in the same (iv) how do we guarantee that our models can produce solutions fast enough to be practically usable, without having to sacrifice output quality (v) and many more. A more specific list of duties includes:· Prototyping, analyzing, and maintaining models which are crucial components of our fulfillment strategy.· · Working closely with software development teams as well as business partners to guarantee that models are both implemented correctly and understood by the wider business.· · Driving model improvements to assure these models become the de-facto standard across Amazon’s fulfillment network.· · Identifying and evaluating opportunities to reduce costs and maximize efficiency with new models and techniques.· · Gathering, analyzing, and presenting data to support various business initiatives. Proposing new metrics if the necessary data is not available.· · Helping guide the long term vision of our team, through effective communication with senior management as well with colleagues from computer science, operations research, and business backgrounds.
US, NY, New York
The New Programs Group within Amazon Fashion is looking for Applied Scientist to help redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning. We’re looking for a thought leader to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will work with talented peers in a team that provides opportunities to innovate in a start-up mode, partner with business teams to deliver customer experiences that disrupt status quo.The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You do independent research and develop non-trivial Machine Learning solutions. You mentor and lead scientists and engineers, contribute to Amazon's Intellectual Property through patents and/or external publications.Position Responsibilities:· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for applications of machine learning (Deep Learning, etc), optimization, simulation or visualization techniques.· Build and deploy scientific models on available data.· Research and implement novel approaches to add value to the business.· Mentor junior engineers and scientists.To know more about Amazon science, Please visit https://www.amazon.science
US, CA, East Palo Alto
We are looking for a senior audio applied scientist to work on real-time transcriptions of conversational audio.The Advanced Technology Group, within the Amazon Chime team is the cornerstone of the AWS Center for Audio and Video Excellence. Our charter is to think big, re-imagine, re:Invent, problem solve, innovate and deliver novel, state-of-the-art solutions to audio and video problems. We are interested in all aspects of audio and video technology, and we leverage the latest Machine Learning (ML) and Signal Processing (DSP) techniques to surprise and delight our customers. Our applications include real-time audio/video communications, audio/video scene analysis, anomaly detection, audio/speech/music/image/video processing, enhancement, analysis, synthesis and coding.We reach our customers in multiple ways. Our work feeds directly into the Amazon Chime SDK, which now has worldwide adoption and rapid growth. We also contribute Amazon Chime Meetings and power other AWS and Amazon multimedia offerings. In addition, we are building and launching new standalone AWS cloud services to put our technology directly into the hands of builders and customers. We have the nimbleness of a small startup outfit, but, at the same time, the immense resources of AWS - the world leader in cloud computing - behind us as well. If you want to have a profound and direct impact on the end customer experience, this is the team to be on!We have a world-class, award-winning team of research scientists, applied scientists, research engineers and software engineers, and we are looking to hire in all of these job families.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
US, WA, Seattle
Amazon's Supply Chain Optimization Technology (SCOT) group is looking for a Data Scientist to optimize one of the most complex logistics systems in the world. Academic and/or practical background in Machine Learning, Operations Research, Systems Engineering and Optimization, or Process Control are particularly relevant for this position. Experience in model-based engineering and/or multidisciplinary analysis & optimization is also a plus.Amazon’s extensive logistics system comprises thousands of fixed infrastructure nodes with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements truly unparalleled. This magnificent challenge is a terrific opportunity to understand, model, simulate, optimize, and reshape one of the world's most complex systems.You will make the real complexity of our logistics system visible, tangible, and manageable using cutting edge analytical methods. You will use modeling and simulation to validate assumptions on the intricate interactions among different elements of our system. You will identify and evaluate opportunities to improve customer experience, network speed, cost, and the efficiency of capital investment. You will develop system components using optimization, simulation, and machine learning techniques. You will quantify the improvements resulting from the application of these tools and you will evaluate trade-offs between competing outputs of the system.This position requires drive and self-motivation, superior analytical thinking, data-driven disposition, and application of technical knowledge to a business context. It also requires effective collaboration with fellow scientists, software development engineers, and product managers. Effective communication of technical designs to technical and non-technical audiences, and close partnership with many stakeholders from operations, finance, IT, and business leadership is also required.We are a key part of Supply Chain Optimization Technologies (SCOT): https://www.youtube.com/watch?v=ncwsr1Of6Cw&feature=youtu.be
US, CA, San Diego
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
US, WA, Seattle
Amazon delights millions of customers around the world. Meet the behind-the-scenes team that enables our Operations and Human Resource Leaders to make informed decisions. The Amazon PeopleInsight team builds reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team getting you lunch in under an hour, or one of many more, the PeopleInsight group is there providing people metrics along the employee life-cycle for our global operations businesses. In addition to standard reporting, we build products using machine learning aiming to help our leaders focus their efforts in ways that will engage, retain and grow their associates.We are a diverse team of applied scientists, data scientists and software developers and we are looking for an experienced, results-oriented Applied Scientist, who will help to design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment. You will be a key contributor in building statistical models supporting A/B platform, building end-to-end science model pipelines. You will work with the team of software developers and machine learning experts to help them deploy products. You will also be involved in every aspect of the production pipeline process. It will include portability, scalability, operationalization and test, models deployment, create reproducible pipelines, API endpoints.
US, NY, New York
The Advertising Supply & Monetization team determines the display ads shown to Amazon shoppers, and is responsible for delivering an engaging, relevant and personalized ad experience. We optimize entire pages of retail and advertising content in near real-time for millions of shoppers each day, maximizing the long-term value that display advertising creates for Amazon.We are looking for an experienced PhD economist to build long-term causal estimation products and valuation models for advertising in the context of delivering a highly personalized content experience on retail shopping pages. You will invent methodologies to quantify the impact on shopping from changes in ad quality, relevance, and the general user experience with ads. You will also utilize engineering and econometric tools to lead experimentation efforts and continuously validate advertising’s positive impact to the Amazon shopping experience.We are looking for a seasoned economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.
GB, London
You: Alexa, I am looking for a new impactful role where I could tackle the next big research challenge, what do you suggest?Alexa: The Alexa Shopping team is looking for applied research leaders/scientists to help me become the best personal assistant. Do you want to hear more?You: Yes, please!Alexa: As an Applied Scientist in the Alexa Shopping team, you will be investigating and developing machine learning and natural language processing technologies to help Alexa turn into the best and most trustworthy personal assistant.The team you will specifically be working with has expertise in deep learning, user modelling, probabilistic modelling, natural language processing, information retrieval, crowdsourcing, and other related fields. We employ all these technologies to continually improve the experience of Alexa customers, focusing on the shopping domain. Your work within this team will combine research on machine learning and natural language processing, systems and software development, exploration of new technologies, as well as publications and presentations at top scientific conferences.
US, WA, Seattle
Amazon's Marketing Science team (a part of Customer Behavior Analytics) is looking for a seasoned research scientist with strong technical skills in statistical modeling, preferably causal inference to drive methodology improvements for large-scale marketing measurement (TV, Digital) using customer-level data.The successful candidate will be a daring hands-on self-starter, comfortable with ambiguity, humble to seek feedback and learn from peers (scientists, economists, marketing practitioners), bold to think big, has solid attention to detail and believes in challenging themselves to raise the bar continuously. The scientist will develop production models using customer-level panel data on advertising exposure to identify the causal impact of Amazon marketing. They will work closely with media and portfolio teams to understand business needs and with a sister engineering team to productionalize solutions. The ML models will improve the efficiency of billions of dollars of marketing spend.This role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and good coding skills.The candidate should have strong communication skills to work closely with stakeholders to translate business needs into methodology and data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and ability to work in a fast-paced and ever-changing environment.Overall, the candidate’s responsibilities include:· Design and build scalable analytic solutions using ML models to measure the financial impact of cross channel marketing spend· Work with the data acquisition team on data requirements· Ensuring that state of the art statistical methods and machine learning technology are deployed to measure effectiveness of video advertising on social media· Work closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategies· Develop a library of measurement, decision making and machine learning algorithms to enable data-driven decision making· Support engineering teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at Amazon· Raise the bar on applications of machine learning for advertising measurement and optimization
US, CA, Glendale
The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Quantum Research Scientist in the Device Fabrication group. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have a deep and broad knowledge of device fabrication and characterization techniques.Candidates with a track record of original scientific contributions will be preferred. We are looking for candidates with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As a research scientist you will be expected to work on new ideas and stay abreast of the field of experimental quantum computation.Work/Life BalanceThe work/life integration within our team encourages a culture where employees work hard and also have ownership over their downtime.Mentorship & Career GrowthWe are committed to the growth and development of every member of CQC.Inclusive and Diverse CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust..
US, CA, San Francisco
About Us:Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate and grow their personal interests and passions. We're always live at Twitch.About the Job:Creators are the fundamental building block of Twitch. Each month, over 6 million creators choose to share themselves with the world by streaming to viewers across the world on Twitch. The Creator team builds products and solutions that inspire creators and allow them to achieve their broadcasting and business goals. To succeed on Twitch, Creators have a lot to do and learn -- from customizing their Channel, to selecting and setting up features, to learning how to grow their audience and maximize the money they make on Twitch. We empower all Creators to reach their potential by providing streamlined and personalized experiences that evolve with Creators as they grow.We are looking for an experienced manager to lead Analytics for the Creator Products organization. This team oversees product analytics across the department, helping shape goals, metrics, experimentation and dashboards. You will help product, design and engineering leaders make great decisions through data, helping direct the strategy for creator tools at Twitch. You will report to the Head of Creator Products.You Will:· Hire and develop a growing team of analysts· Establish the vision and roadmap for the team, prioritize the most impactful analysis, and guide the team in solving ambiguous and complex problems.· Influence our overall product strategy; guide key product decisions through data and insights; set goals and KPIs and identify the right levers to achieve those goals.· Lead the team to deliver reusable tools that can be productized or used by operational teams.