Punta Cana
November 16 - 20, 2020
Punta Cana, Dominican Republic
Conferences & Events
Amazon @ EMNLP 2020

Overview

Amazon is proud to be a Diamond sponsor of EMNLP 2020.

About EMNLP: The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) will be held virtually Nov. 16-20. Learn more about Amazon's involvement in EMNLP below.

Conference website

Amazon program organizing committee

  • Yang Liu
    Yang Liu
    Principal Applied Scientist
    Program Chair
  • Markus Dreyer
    Markus Dreyer
    Senior Area Chair, Question Answering
  • alessandro_moschitti.jpg
    Alessandro Moschitti
    Principal Scientist
    Senior Area Chair, Information Retrieval and Text Mining
  • Bill_Byrne.jpg
    Bill Byrne
    Amazon Scholar
    Area Chair, Machine Translation and Multilinguality
  • Heng Ji
    Heng Ji
    Amazon Scholar
    Senior Area Chair, Multidisciplinary and AC COI
  • Kai-Wei Chang
    Kai-Wei Chang
    Visiting Academic
    Area Chair, Machine Learning for NLP
  • Weiwei Cheng
    Weiwei Cheng
    Area Chair, Question Answering
  • Sgella
    Spandana Gella
    Area Chair, Semantics: Lexical Semantics
  • Julia Hirschberg
    Julia Hirschberg
    Amazon Scholar
    Area Chair, Speech and Multimodality
  • Seokhwan Kim
    Seokhwan Kim
    Area Chair, Dialog and Interactive Systems
  • Lluís Marquez
    Lluís Marquez
    Area Chair, Machine Translation and Multilinguality
  • Matthias Petri
    Matthias Petri
    Area Chair, Information Retrieval and Text Mining
  • Kevin Small.jpg
    Kevin Small
    Area Chair, Question Answering
  • Yi Zhang
    Yi Zhang
    Area Chair, Semantics: Lexical Semantics

Publications (partial list)

Workshops

The 6th Workshop on Noisy User-generated Text (W-NUT) | November 19th
Accepted Publication: Truecasing German user-generated conversational text

Scholarly Document Processing @ EMNLP | November 19th
Organizing committee member: Muthu Kumar Chandrasekaran
Program committee member: Animesh Prasad

2nd Workshop for Natural Language Processing Open Source Software | November 19th
Program committee members: Steve Sloto | Varun Kumar

Deep Learning Inside Out: Knowledge Extraction and Integration | November 19th
Program committee member: Daniil Sorokin

Workshop on Deep Learning Inside Out (DeeLIO) | November 19th

Accepted Publication: Incorporating commonsense knowledge graph in pretrained models for social commonsense tasks - Best Paper award winner

Workshop on Interactive and Executable Semantic Parsing | November 19th
Accepted Publications: Evaluating the effectiveness of efficient neural architecture search for sentence-pair tasks

Uncertainty and traffic-aware active learning for semantic parsing

Fifth Conference on Machine Translation (WMT20) | November 19 - 20th
Accepted Publication: How should markup tags be translated?

NLP Beyond Text | November 20th
Organizing committee members: Giuseppe Castellucci | Simone Filice
Program committee member: Shervin Malmasi

SustaiNLP 2020 | November 20th
Invited Speaker: Heng Ji, Amazon Scholar

PrivateNLP 2020 | November 20th
Organizing committee members: Oluwaseyi Feyisetan | Shervin Malmasi
Program committee members: Luca Melis | Nedelina Teneva | Tom Diethe
Accepted Publications: On primes, log-loss scores and (no) privacy
A differentially private text perturbation method using a regularized Mahalanobis metric

Evaluation and Comparison of NLP Systems (Eval4NLP) | November 20

Accepted Publication: Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models

 Workshop on Structured Prediction for NLP | November 20th

Accepted Publication: Generating synthetic data for task-oriented semantic parsing with hierarchical representations

Connect with us at EMNLP

Amazon scientists are looking forward to meeting you at EMNLP. If you would like to connect with one of our scientists, please contact emnlp2020@amazon.com.

Are you ready for your next opportunity? Check out our open positions below. We have global opportunities available.

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Senior Applied Scientist, Alexa AI
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.
Applied Scientist
US, WA, Seattle
Amazon Payments Services build systems that process payments at an unprecedented scale, with accuracy, speed, and mission-critical availability. We process millions of transactions every day worldwide across various payment methods. Over 100 million customers and merchants send hundreds of billions of dollars moving at light-speed through our systems annually. We are looking for a highly skilled, experienced, and motivated Applied Scientist to innovate and solve the challenges at a massive scale.Please visit https://www.amazon.science for more informationThis Applied Scientist role will design quantitative systems and forecasting models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon's Payments and Customer Experience.A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams. You will contribute to the research community by working with other scientists across Amazon and our Payments Engineering as well as by collaborating with academic researchers and publishing papers. You will work closely with Software Development Engineers to invent and construct models on data at massive scale and it is likely that your work will end up in an Amazon product. Finally, you will also have exposure to senior leadership as we communicate results and provide scientific guidance to the business.As a Applied Scientist you will:· · Drive collaborative research and creative problem solving.· Constructively critique peer research and mentor junior scientists and engineers.· Create experiments and prototype implementations of new learning algorithms and prediction technique.· Collaborate with engineering teams to design and implement software solutions for science problems.· Contribute to progress of the Amazon and broader research communities by producing publication· Effectively collaborate in a fast paced environment with multiple teams in large organization (software development, Project Management, Build and Release, etc).
Data Scientist
GB, BST, Bristol
Come and build innovative services that protect our cloud from security threats.As a Security Senior Data Scientist, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with security engineers, software development engineers, and other data scientists across multiple teams to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!Mentorship & Career GrowthOur team is dedicated to supporting new team members. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, junior data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.We care about your career growth. We assign projects and tasks based on what will help team members develop into a more well-rounded data scientist and enable them to take on more complex tasks in the future.Inclusive and Diverse CultureOur team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a cool service, but we also believe a big reason for that is the inclusive and welcoming culture we cultivate every day.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we’ve been building.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.Work/Life BalanceOur team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work. We are passionate about the capabilities we build, and we are responsible for our on-call rotation to ensure our services bring value to our customers. We understand that life is challenging and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.
Data Scientist
GB, BST, Bristol
Come and build innovative services that protect our cloud from security threats.As a Security Senior Data Scientist, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with security engineers, software development engineers, and other data scientists across multiple teams to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!Mentorship & Career GrowthOur team is dedicated to supporting new team members. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, junior data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.We care about your career growth. We assign projects and tasks based on what will help team members develop into a more well-rounded data scientist and enable them to take on more complex tasks in the future.Inclusive and Diverse CultureOur team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a cool service, but we also believe a big reason for that is the inclusive and welcoming culture we cultivate every day.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we’ve been building.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.Work/Life BalanceOur team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work. We are passionate about the capabilities we build, and we are responsible for our on-call rotation to ensure our services bring value to our customers. We understand that life is challenging and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.
Applied Scientist
US, CA, Palo Alto
Are you ready to drive the next generation of shopping innovations at Amazon? When words just aren’t enough to describe what customers are looking for, they often turn to other methods such as camera-based search, or using the picture of a celebrity to find inspiration for their fashion purchases. When images aren’t enough to convince customers that a piece of furniture will look good, they want to turn to Augmented Reality to envision how that furniture item would match their living room décor.Starting in 2009, the Visual Search & Augmented Reality team has thus far launched many visual search solutions on the Amazon App that use computer vision and machine learning/deep learning to help customers complete their shopping missions more easily; multiple internal teams at Amazon (devices, Kindle, Seller services, etc.) also use our libraries and APIs to deliver solutions to their own customers. We are a full stack shop, and our team capabilities cover the whole solution spectrum, ranging across applied science (Computer Vision and Deep Learning), large scale engineering services, product management, UX design, and mobile app development for iOS and Android. However, it’s still Day 1, and this is your chance to make history in the new era of shopping.As an Applied Scientist on the VS&AR team, you will:· Investigate and solve exciting and difficult challenges in image recognition, classification, segmentation, 3D computer vision, augmented reality and deep learning.· Research and develop scalable computer vision and machine learning solutions to hard problems.· Design, implement, and deploy full-stack computer vision solutions for millions of Amazon customers.· Build on core technology in Visual Search and Augmented Reality.· Use the latest advances in neural networks and machine learning to bring new experiences for our customers.You are going to love this job because you will:· Be immersed in a "critical mass” of innovative and top caliber computer vision experts in a collegial and fun environment.· Work on incredibly hard problems in computer vision that are of value in the real world.· Create world-class computer vision products.· Build on Amazon’s tools and vast technical resources.· Work in a dynamic team that provides continuous opportunities for learning and growth.
Applied Scientist - Amazon Braket
US, NY, New York
Excited by the disruptive potential of quantum technology? Want to innovate on behalf of our customers to build quantum computing tools for the cloud? Thrilled to be key part of Amazon, who has been investing in disruptive innovation for decades, pioneering and shaping the world’s technology?Amazon Braket is looking for Applied Scientists in quantum computing to join an exceptional team of researchers and engineers. Quantum computing is rapidly emerging from the realms of science-fiction, and our customers can the see the potential it has to address their challenges. One of our missions at AWS is to give customers access to the most innovative technology available and help them continuously reinvent their business. Quantum computing is a technology that holds promise to be transformational in many industries, and with Amazon Braket we are adding quantum computing resources to the toolkits of every researcher and developer.As an Applied Scientist in the Amazon Braket team, you will develop advanced software solutions for construction, compilation, simulation, and optimization of quantum computing programs in the cloud. You will play a key role in shaping the development roadmap of the service, and evangelizing new features and capabilities. You will also have the opportunity to create white papers, write blogs, build demos and generate other reusable collateral that can be used by our customers. Most importantly, you will work closely with our quantum computing research teams, as well as industry and academic partners. Our team collaborates across the entire AWS organization to get drive innovation and deliver the right solutions to our customers.A successful candidate will be a person who enjoys diving deep into customer problems, conducting independent research and development, working across teams with academic and industry experts, and shaping the long-term QC strategy for AWS and its customers. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of QC.
Senior Applied Scientist - Amazon Braket
US, WA, Seattle
Excited by the disruptive potential of quantum technology? Want to innovate on behalf of our customers to build quantum computing tools for the cloud? Thrilled to be key part of Amazon, who has been investing in disruptive innovation for decades, pioneering and shaping the world’s technology?Amazon Braket is looking for Applied Scientists in quantum computing to join an exceptional team of researchers and engineers. Quantum computing is rapidly emerging from the realms of science-fiction, and our customers can the see the potential it has to address their challenges. One of our missions at AWS is to give customers access to the most innovative technology available and help them continuously reinvent their business. Quantum computing is a technology that holds promise to be transformational in many industries, and with Amazon Braket we are adding quantum computing resources to the toolkits of every researcher and developer.As an Applied Scientist in the Amazon Braket team, you will develop advanced software solutions for construction, compilation, simulation, and optimization of quantum computing programs in the cloud. You will play a key role in shaping the development roadmap of the service, and evangelizing new features and capabilities. You will also have the opportunity to create white papers, write blogs, build demos and generate other reusable collateral that can be used by our customers. Most importantly, you will work closely with our quantum computing research teams, as well as industry and academic partners. Our team collaborates across the entire AWS organization to get drive innovation and deliver the right solutions to our customers.A successful candidate will be a person who enjoys diving deep into customer problems, conducting independent research and development, working across teams with academic and industry experts, and shaping the long-term QC strategy for AWS and its customers. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of QC.
Speech Scientist, Alexa
US, WA, Seattle
Amazon is looking for a passionate, talented, and inventive Machine Learning Scientist with a strong machine learning background to help build industry-leading Alexa Speech and Language technology. Our mission is to push the envelope in Deep Learning, Automatic Speech Recognition (ASR) and Language Modeling in Natural Language Processing (NLP), in order to provide the best-possible experience for our customers.Our Machine Learning Scientists, work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language. Your work will directly impact our customers in speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. Candidates can work in Seattle OR Sunnyvale.
Senior ASR/NLP Scientist
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.
Research Scientist
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.
Applied Scientist, New Programs
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
Sr Applied Scientist, Audio
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.
Data Scientist
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
Economist
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.
Applied Scientist
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.
Sr. Economist
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.
Applied Scientist - Information Retrieval and Natural Language Processing
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.
Senior Research Scientist
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
Quantum Research Scientist – Device Fabrication
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..
Head of Analytics, Creator Products
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.
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