Follow Us
November 7 - 11, 2021
Punta Cana, Dominican Republic
Conference
EMNLP 2021

Overview

The Conference on Empirical Methods in Natural Language Processing (EMNLP) will be held online and in Punta Cana, Dominican Republic.

Sponsorship Details

Platinum
Conference website
Related research
Connect with us

Amazon organizing committee members

Accepted publications

Workshops

EMNLP 2021 Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
November 10
The Natural Language Processing (NLP) community has, in recent years, demonstrated a notable focus on improving higher scores on standard benchmarks and taking the lead on community-wide leaderboards (e.g., GLUE, SentEval). While this aspiration has led to improvements in benchmark performance of (predominantly neural) models, it has also resulted in a worrysome increase in model complexity and the amount of computational resources required for training and using the current state-of-the-art models. Moreover, the recent research efforts have, for the most part, failed to identify sources of empirical gains in models, often failing to empirically justify the model complexity beyond benchmark performance.
Distiller: A systematic study of model distillation methods in natural language processing
Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis
2021
Conversational AI
Efficient domain adaptation of language models via adaptive tokenization
Vin Sachidananda, Jason S. Kessler, Yi-An Lai
2021
Conversational AI
Limitations of knowledge distillation for zero-shot transfer learning
Saleh Soltan, Haidar Khan, Wael Hamza
2021
Conversational AI
EMNLP 2021 Workshop on NLP for Conversational AI
November 10
Amazon organizers: Alexandros Papangelis, Seokhwan Kim, Behnam Hedayatnia, Dilek Hakkani-Tür, Ming Sun

Website: https://sites.google.com/view/3rdnlp4convai/
Dialogue response generation via contrastive latent representation learning
Shuyang Dai, Guoyin Wang, Sunghyun Park, Sungjin Lee
2021
Conversational AI
Style control for schema-guided natural language generation
Alicia Y. Tsai, Shereen Oraby, Vittorio Perera, Jiun-Yu Kao, Yuheng Du, Anjali Narayan-Chen, Tagyoung Chung, Dilek Hakkani-Tür
2021
Conversational AI
Taking things personally: Third person to first person rephrasing
Marcel Granero Moya, Agis Oikonomou Filandras
2021
Conversational AI
CS-BERT: a pretrained model for customer service dialogues
Peiyao Wang, Joyce Fang, Julia Reinspach
2021
Conversational AI
Multilingual paraphrase generation for bootstrapping new features in task-oriented dialog systems
Subhadarshi Panda, Caglar Tirkaz, Tobias Falke, Patrick Lehnen
2021
Conversational AI
On the robustness of intent classification and slot labeling in goal-oriented dialog systems to real-world noise
Sailik Sengupta, Jason Krone, Saab Mansour
2021
Conversational AI
Rome was built in 1776: A case study on factual correctness in knowledge-grounded response generation
Sashank Santhanam, Behnam Hedayatnia, Spandana Gella, Aishwarya Padmakumar, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tür
2021
Conversational AI
Collaborative data relabeling for robust and diverse voice apps recommendation in intelligent personal assistants
Qian Hu, Thahir Mohamed, Wei Xiao, Zheng Gao, Xibin Gao, Radhika Arava, Xiyao Ma, Mohamed AbdelHady
2021
Conversational AI
Towards zero- and few-shot knowledge-seeking turn detection in task-oriented dialogue systems
Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tür
2021
Related: Alexa AI team discusses NeurIPS workshop best paper award
Conversational AI
EMNLP 2021 Workshop on Fact Extraction and VERification (FEVER)
November 10 - November 11
Amazon organizer: Christos Christodoulopoulos

Website: https://fever.ai/
EMNLP 2021 Workshop on Insights from Negative Results in NLP
November 10
Amazon organizers: Anna Rumshisky, Markus Mueller

Website: https://insights-workshop.github.io/2021/people/
EMNLP 2021 Workshop on the Fifth Widening NLP (WiNLP)
November 11
Amazon organizers: Kai-Wei Chang (Amazon visiting academic, Dan Roth (Amazon Scholar),

Website: http://www.winlp.org/winlp-2021-workshop/
Sample selection guided by domain and task for cross-domain targeted sentiment analysis
Kasturi Bhattacharjee, Rashmi Gangadharaiah, Smaranda Muresan
2021
Conversational AI
EMNLP 2021 Workshop on Evaluations and Assessments of Neural Conversation Systems (EANCS)
November 11
Amazon organizers: Dilek Hakkani-Tur, Lihong Li, Haoming Jiang

Website: https://sites.google.com/view/eancs
Unsupervised testing of NLU models with multiple views
Radhika Arava, Matthew Trager, Boya Yu, Mohamed AbdelHady
2021
Conversational AI

Tutorials

Robustness and Adversarial Examples in Natural Language Processing
November 10
Amazon speakers: Kai-Wei Chang (Amazon Visiting Academic), He He (Amazon Visiting Academic)
Knowledge-Enriched Natural Language Generation
November 10
Amazon speaker: Heng Ji (Amazon Scholar)
MetaTS.16x9.png
Amazon’s 23 papers at EMNLP 2021
Larry Hardesty
November 05, 2021
Natural-language understanding and question answering are areas of focus, with additional topics ranging from self-learning to text summarization.
Conversational AI

Related content

Work with us

See more jobs See more jobs
Applied Science Manager, Perception, Amazon Robotics (AR)
US, WA, Seattle
Do you want to create worldwide impact in Robotics? Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We hire and develop subject matter experts in robotics with a focus on motion planning, computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments—all of which have high-value impact for our current and future fulfillment networks. We are seeking a hands-on, Applied Science Manager for Perception/ Computer Vision who will be deep in code and algorithms; who has a wealth of robotics/ computer vision experience; and who is technically strong in building scalable ML solutions. You will lead the research and development of advanced robotic systems; you will work along with other top-notch scientists and engineers to deliver the world's most scalable and robust robotic systems. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation. A successful candidate has excellent communication skills and a drive to achieve results in a collaborative team environment. You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities * As a manager, you will be responsible for delivering critical perception capabilities. * You will manage across the science and engineering job families required to build these systems. * You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks. * You will keep your technical skills current to contribute to architecture and design discussions. * You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues. * Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
Amazon Robotics - Data Scientist (DS) Co-op - Fall 2024
US, MA, North Reading
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. This role is a 6-month Co-Op to join AR full-time (40 hours/week) from July 15, 2023 to December 20, 2024. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities. Key job responsibilities We are seeking data scientist co-ops to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction. We are open to hiring candidates to work out of one of the following locations: Boston, MA, USA | North Reading, MA, USA | Westborough, MA, USA
Quantum Research Scientist, AWS MAS2
US, CA, Pasadena
The AWS Center for Quantum Computing is a multi-disciplinary team of scientists, engineers, and technicians, all working to innovate in quantum computing for the benefit of our customers. We are looking to hire a Research Scientist to design and model novel superconducting quantum devices, including qubits, readout and control schemes, and advanced quantum processors. Candidates with a track record of original scientific contributions and/or software development experience will be preferred. We are looking for candidates with strong engineering principles and resourcefulness. Organization and communication skills are essential. Inclusive Team Culture Here 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. Work/Life Balance Our 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 Growth Our 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. Key job responsibilities do research on quantum QEC We are open to hiring candidates to work out of one of the following locations: Pasadena, CA, USA
Research Scientist, EU GTS Network design Analytics
FR, Clichy
FRENCH VERSION: Avez-vous déjà souhaité développer des algorithmes de Recherche Opérationnelle et de Machine Learning pour optimiser l’un des réseaux logistiques les plus complexes du monde ? Avez-vous déjà commandé un produit sur les sites Web d’Amazon et vous êtes-vous demandé comment il vous a été livré si rapidement, et quels types d’algorithmes et de processus sont utilisés pour maintenir ce réseau ? Si c’est le cas, ce travail est fait pour vous ! L’équipe de Global Transportation Network Design Analytics d’Amazon EU recherche son ou sa nouvelle Research Scientist ! Votre rôle se concentrera sur la résolution de problèmes complexes qui ont un impact sur notre organisation, en particulier dans le développement de modèles de pointe pour optimiser le réseau de transport d’Amazon. Vous êtes la personne que nous recherchons si vous avez : * De bonnes capacités de résolution de problèmes et une curiosité technique. * Une envie de standards élevées en matière de performances de code. * Une forte responsabilité sur les sujets de recherche : vous êtes proactif et apportez vos propres idées dans l’equipe. * D'importantes compétences en communication pour intéragir avec divers intervenants au sein de l’entreprise. ENGLISH VERSION: Have you ever wished to build high standard Operations Research and Machine Learning algorithms to optimize one of the most complex logistics network? Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of algorithms & processes are running behind the scenes to power the whole operation? If so, this role is for you. Amazon’s EU Global Transportation Services Network Design Analytics team is seeking a highly skilled Research Scientist. Your role will focus on solving complex problems that impact our organization, particularly in developing advanced models for optimizing Amazon’s transportation network. You are the person we are looking for if youhave: - Good problem-solving abilities and technical curiosity. - Commitment to high standards in code performance and inventiveness. - Persistent ownership over research topics: you are proactive and bring your own ideas to the table. - Excellent communication skills to engage with various stakeholders inside the company. Key job responsibilities FRENCH VERSION - Utiliser des techniques d’optimisation de pointe issues de la littérature scientifique pour développer des modèles d’optimisation ayant un impact direct sur le réseau de transport de la vie réelle. - Explorer des modélisations pionières pour résoudre les défis specifiques d’Amazon, en exploitant l’accès aux données et à la puissance de calcul que nous avons en interne pour faire se rejoindre deux domaines apparemment séparés : la Recherche Opérationnelle et le Machine Learning. - Collaborer étroitement avec de nombreux interlocuteurs internes pour développer une compréhension approfondie et précise du problème. - S’assurer que votre modèle peut passer en production en suivant des standards de code strictes et en recherchant un temps d’exécution rapide. ENGLISH VERSION: - Use state-of-the-art optimization techniques from the scientific literature to develop optimization models that have a direct impact on the real-life transportation network. - Explore pioneering modellings to solve the Amazon peculiar challenges, leveraging the access to data and computing power we have in house to bridge two seemingly separated fields: Operations Research and Machine Learning. - Collaborate closely with various stakeholders to develop a deep understanding of the problem. - Ensure your model can go to production by following high coding standards and seeking fast runtime. A day in the life FRENCH VERSION: Votre journée type est en fait très variée, elle serait composee d’activitées telles que la réalisation d’expériences, la revue de la littérature scientifique, l’analyse de données, le développement d’algorithmes, la collaboration avec d’autres équipes et la présentation fréquente de résultats. Vous participerez à des sessions devant un tableau blanc avec vos collègues scientifiques, prendrez activement part aux code reviews et aux revues de papiers. Cette journée implique un mélange de recherche pratique, de code, de réunions, d’analyse de données et de contributions à des publications. ENGLISH VERSION You will typically engage in a mix of activities like conducting experiments, reviewing scientific literature, analyzing data, developing algorithms, collaborating with cross-functional teams, and often presenting findings. You will be involved in brainstorming sessions with your scientific peers, actively participate in code reviews and paper reviews. The day involves a blend of hands-on research, coding, meetings, data analysis, and contributions to publications. About the team FRENCH VERSION: Notre équipe est une équipe technique très dynamique où nous favorisons l'apprentissage et le développement avant tout. Nous croyons que l'apprentissage par la pratique et la prise de responsabilité sont les meilleures façons de développer des connaissances et une carrière. Nous sommes structurés par des compétences fonctionnelles et nous nous associons et apprenons les uns des autres. ENGLISH VERSION: Our team is a very dynamic technical team where we foment learning and development on top of all. We believe in learn by doing and having ownership are the best ways to develop knowledge and career. We are structured by functional skills and we partner and learn from one another. We are open to hiring candidates to work out of one of the following locations: Clichy, FRA
Sr Applied Science Manager, Perception, Amazon Robotics (AR)
US, WA, Seattle
Do you want to create worldwide impact in Robotics? Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We hire and develop subject matter experts in robotics with a focus on motion planning, computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments—all of which have high-value impact for our current and future fulfillment networks. We are seeking a hands-on, Applied Science Manager for Perception/ Computer Vision who will be deep in code and algorithms; who has a wealth of robotics/ computer vision experience; and who is technically strong in building scalable ML solutions. You will lead the research and development of advanced robotic systems; you will work along with other top-notch scientists and engineers to deliver the world's most scalable and robust robotic systems. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation. A successful candidate has excellent communication skills and a drive to achieve results in a collaborative team environment. You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities * As a Sr manager, you will be responsible for delivering critical perception capabilities. * You will manage across the science and engineering job families required to build these systems. * You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks. * You will keep your technical skills current to contribute to architecture and design discussions. * You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues. * Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
Manager, Applied Science, AI Labs
US, WA, Bellevue
The AWS AI Labs team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists have developed the algorithms and models that power AWS computer vision services such as Amazon Rekognition and Amazon Textract. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, large scale image and video detection and recognition, face detection and recognition, OCR and scene text recognition, document understanding, 3D scene and layout understanding, and geometric computer vision. For this role, we are looking for scientist who have experience working in the intersection of vision and language. We are located in Seattle, Pasadena, Palo Alto (USA) and in Haifa and Tel Aviv (Israel). We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA
Applied Scientist II, Robotics AI
US, WA, Seattle
Amazon Robotics is seeking an Applied Scientist to join our team. In this role you will apply the latest trends in research to solve real-world problems. You will collaborate with a team of scientists and engineers building these applications. We holistically design, build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field. Key job responsibilities • Research, design, implement and evaluate complex perception, motion planning, and decision making algorithms integrating across multiple disciplines and leveraging machine learning. • Create experiments and prototype implementations of new learning algorithms and prediction techniques. • Work closely with software engineering team members to drive scalable, real-time implementations. • Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. • Collaborate closely with hardware engineering team members on developing systems from prototyping to production level. • Represent Amazon in academia community through publications and scientific presentations. • Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
Applied Scientist II, Amazon
US, CA, Palo Alto
We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! We are open to hiring candidates to work out of one of the following locations: Palo Alto, CA, USA
Principal Applied Scientist, Ad Catalyst Team
US, NY, New York City
Are you interested in working on one of the highest priorities across Amazon Ads? This is your chance to help build a billion dollar business, innovate on a new product space, and have a positive impact on millions of views while working with industry-leading technologies. The Ad Catalyst team in Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions to over a million advertisers with the goal of helping our our hundreds of millions customers find and discover anything they want to buy. We start with the customer and work backwards in everything we do, including advertising. Our team owns researching, evaluating, ranking and serving personalized recommendation to each of our 1+ million advertisers using state of the art machine learning techniques ( e.g., deep learning, deep-reinforcement learning, causal modeling). Our team is placed centrally in the Advertising Experience organization which owns the advertising console, this provides us full-stack ownership giving scientists the satisfaction of seeing their work directly power advertiser experiences with measurable outcomes. If you’re interested in joining a rapidly growing team working to build a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place. This is a unique opportunity to get in early and drive significant portions of the technical roadmap and shape the research agenda of a billion+ dollar business. Successful candidates will have strong technical ability, focus on customers by applying a customer-first approach, solid teamwork and strong communication skills. You're motivated to achieve results in a fast-paced environment through both strong personal delivery and the ability to develop partnerships with science teams across the org. This is a high visibility leadership position where you will be the first principal scientist in a 400+ people org. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. You will have the opportunity to make a difference to our business & our customers by designing and building state of the art machine learning systems on big data, leveraging Amazon’s vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide. Key job responsibilities - Be a thought leader and forward looking thinker, anticipating obstacles to success, helping avoid common failure modes, and hold us to a high standard of technical rigor and excellence in machine learning (ML) - Own and drive the most complex and strategic solutions across the business; responsible for driving millions in revenue - Own the dialogue with partner science teams - shape consensus in scientific research roadmap, modeling approaches evaluation and presentation of the science driven results to our advertisers - Define evaluation methods and metrics that measure the effectiveness of advertising recommendations using a variety of science techniques (Randomized Control Trials, Causal Modeling, Reinforcement learning policy evaluation) - Research, build, and deploy innovative ML solutions; working across all technical disciplines - Identify untapped, high-risk technical and scientific directions, and stimulate new research directions that you will deliver on - Be responsible for communicating our ML innovations to the broader internal & external scientific communities - Hire, mentor, and guide senior scientists - Partner with engineering leaders to build efficient and scalable solutions We are open to hiring candidates to work out of one of the following locations: New York City, NY, USA | Seattle, WA, USA
Applied Scientist, Selling Partner Experience Science
US, WA, Seattle
At Amazon, we strive every day to be Earth’s most customer centric company. Selling Partner Experience Science (SPeXSci) delivers on this by building AI-enhanced experiences, optimization, and automation that help third-party sellers build more successful businesses. This includes recommendations that drive growth and AI-enhanced assistance for troubleshooting issues. There are many challenges that we confront caused by the volume, diversity, and complexity of our selling partner's needs… and we are always striving to do better. Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning and natural language processing? A team that drives our flywheel of improvement by hunting down opportunities to do better that are buried in tens of millions of solved cases? Are you interested in helping us redefine what world class support can be in an age of automation and AI, while prizing human empathy and ingenuity? The SPeXSci Team is looking for an Applied Scientist to build statistical and machine learning solutions that help us understand and solve our most challenging problems. We need to better understand our Sellers and the problems they face, to design permanent fixes to recurring problems, to anticipate problems so that we are prepared to deal with them, to measure our success at delighting our customers, and to identify opportunities to grow and improve. In this role, you will have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making. You will also work closely with engineers, operations teams, product owners to build ML pipelines, platforms and solutions that solve problems of defect detection, automation, and workforce optimization. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
Amazon.com | Conditions of Use | Privacy | © 1996-2024 Amazon.com, Inc. or its affiliates
Follow Us