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February 22 - March 1, 2022
Vancouver, Canada
Conferences & Events
AAAI 2022

Overview

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. AAAI-22 will have a diverse technical track, student abstracts, poster sessions, invited speakers, tutorials, workshops, and exhibit and competition programs, all selected according to the highest reviewing standards. 

Sponsorship Details

Conference website
Related research

Workshops

AAAI 2022: Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR)
Unknown date
Amazon organizer: Dan Roth (Amazon scholar)

Website: https://clear-workshop.github.io/

Tutorials

AAAI 2022: Formal Verification of Deep Neural Networks: Theory and Practice
February 23
Amazon organizer: Cho-Jui Hsieh (Amazon Visiting Academic)
AAAI 2022: Deep Learning on Graphs for Natural Language Processing
February 23
Lingfei Wu, Yu Chen, Heng Ji (Amazon Scholar) , Yunyao Li and Bang Liu

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Principal Applied Scientist , ASR Science
US, WA, Seattle
Job summaryThe principal scientist will initiate and work on key initiatives for developing and advancing world-leading automatic speech recognition (ASR) technology for any voice-driven Alexa end-point. The goal is to achieve unmatched speech recognition accuracy for any device, in any acoustic environment, for any speaker, and for any domain and application running on Alexa. You will analyze system short-comings, for leading the development of data-driven and algorithmic improvements, for defining the path to production, and for influencing design and architecture of goal-relevant software. You will work in a hybrid, fast-paced organization where scientists and engineers work jointly together and drive improvements directly to production.The principal scientist will either go deep on a specific area like single ASR model recognizing multiple languages supporting in-utterance code switching, or models learning without human transcription and act as a technical lead, or will work across teams and areas influencing data, algorithm, and design decisions. Areas of interest cover the whole ASR spectrum, including general purpose ASR, multi-channel raw audio input acoustic modeling, noise robust acoustic modeling, device and speaker independent acoustic modeling, acoustic model adaptation, advanced deep learning for acoustic and language modeling, active learning and semi-/unsupervised learning techniques for acoustic and language modeling, learning from heterogeneous and mismatched audio and text data including data selection and data simulation, large-scale open-domain language modeling, language model adaptation, contextual and personalized language modeling, multi-lingual automatic pronunciation generation, text verbalization and (inverse) text normalization, etc.The principal scientist will help drive scalable, robust, and automated solutions, making new algorithms and processes scalable to work on production-scale data sizes and achieving automated adaptation of processes and algorithms to new environments and to other locales. You will also help integrate new algorithms and processes into existing modeling stacks, simplify and streamline the existing modeling stacks, and develop testing and evaluation strategies. You will influence design and architecture of software stacks used offline and at runtime for building and deploying ASR model artifacts, achieving flexible yet efficient solutions suitable for R&D work and for running in production.
Data Scientist, Prime Video Content Analytics
GB, London
Job summaryAmazon is seeking an outstanding Data Scientist to uncover key insights on how customers engage with live sports events on Prime Video globally. With prestigious sporting events on Prime Video including the English Premiere League (UK), UEFA Champions League (Italy, Germany), Ligue 1 (France), US Open Tennis (UK), Roland Garros (France), Autumn Nations Cup Rugby (UK) and more, live sports are an integral and growing component of Prime Video. As our selection of events expands, the Prime Video Content Analytics team are looking to enable agile decision making on live sports by developing key insights into customer engagement with live sport and translating these insights into large scale predictive modelling and analytics solutions.You will have the following responsibilities within the scope of our global Prime Video business:· Drive analytics in an uncharted field that is developing at a fast pace but also becoming increasingly important to Prime Video· Support the analytical needs of stakeholders in the sports, advertising, finance and live events teams, inclusive of statistical inferences, demand modelling, feature engineering· Build profitability models for new sports rights and partner with finance on business cases· Think outside the box to use novel data and methodological approaches· Create new metrics that effectively guide the business and deploy dashboards to surface them to senior leadership· Ensure that the quality and timeliness of analytic deliverables meet business expectations
Senior Research Scientist, AIGC Talent Management
US, WA, Seattle
Job summaryAre you excited at the prospect of conducting research to improve the employee and manager experience at Amazon? Would you like to see your findings have a real impact on key HR programs and processes? Join the Talent Management team that supports the Advertising, IMDb, Grand Challenge (AIGC) organization (one of the fastest growing businesses at Amazon).We are seeking a Senior Research Scientist with expertise in mixed-methods research, preferably in social science and behavioral research, but are also open to experience in public health, economics, or similar fields. In this role, you will lead and support research efforts within the Recruiting, Talent Management, and Leadership & Development space.You will help set the direction for science and research in the organization. You will be a thought leader on the team, partnering with a diverse set of stakeholders to identify and develop impactful areas for novel research about talent and recruiting outcomes, mechanisms, and programs. You will mentor and provide scientific expertise/peer review to other scientists and analysts on the team.The ideal candidate should have strong problem solving skills, excellent business acumen, as well as an expertise in both qualitative and quantitative methods. This role will need to navigate complex and ambiguous business challenges by asking the right questions, understanding what methodologies to employ, and communicating results to multiple audiences (e.g., technical peers, functional teams, business leaders). Translating business and stakeholder needs into realistic and actionable scientific research will be a regular challenge in this role.Responsibilities include:· Leading scientific direction, providing consult, mentorship, and peer review.· Partnering closely and driving effective collaborations across multi-disciplinary science, analytics, HR, and business teams. Reviewing and scoping research requests, and recommending appropriate scientific methodologies.· Designing, developing, and executing qualitative and quantitative data collection, research, and experimentation. Strong experience with statistical analysis required. Experience with survey development and experimental design (including quasi-experimental) preferred.· Communicating findings and business impact effectively (written and verbally) with both technical and non-technical stakeholders.
Applied Scientist II #0000
US, CA, San Francisco
Job summaryMultiple positions availableCompany: Amazon.com Services LLCLocation: San Francisco, CA1. Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning and/or natural language applications.2. Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to different applications in business and engineering.3. Routinely build and deploy ML models on available data.4. Research and implement novel ML and statistical approaches to add value to the Business.5. Collaborate with other teams to find technical solutions to complex problems.6. Mentor junior engineers and scientist.A day in the life
Economist
US, WA, Seattle
Job summaryDuring the stay-at-home order, how has your grocery shopping behavior changed? Have you tried various food delivery services to feed yourself and your loved ones? The pandemic has accelerated customers' adoption of online grocery shopping services like Amazon Fresh.My organization is looking to re-imagine the world of Grocery Supply Chain here at Amazon Fresh. Our vision is to enable any grocery operation in the world to fulfill omni-channel orders by providing them with an automated sales and operations planning (S&OP) solutions for their business. We are building automated software solutions that leverage machine learning to scale S&OP from 50 to 400+ omni-channel stores and warehouses globally. We are data-driven, build scalable and automated data pipelines which yield in accurate forecasting models to support the grocery business at Amazon.To succeed, we want economists like yourself to forge a path into the future by building models to help forecast demand (being in pandemic complicates things a little bit). 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. You have strong leadership qualities, great judgment, clear communication skills, and a track record of shipping great products.If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Experience Data Scientist, Experience Science
US, WA, Seattle
Job summaryAmazonian Experience and Technology (AET) team seeks a data scientist with strong analytical and communication skills to support our goal of becoming the most scientific HR organization in the world. The team is responsible for developing scientific solutions to increase the efficiency and quality of services provided to Amazon’s growing workforce. This includes identifying anomalies in experience metrics, analyzing the causal impact of new events and policies on our services, and building automated solutions using state of the art statistical and machine learning techniques. As part of this team, you will work with Applied Scientists, Economists, and Engineers to constantly innovate on behalf of our employees.We are looking for motivated data scientists with strong analytical skills who desire to work at the intersection of economics, machine learning and operations research. As a Data Scientist I, Risk Mining, you will be responsible for modeling complex problems, discovering insights, and building cutting edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and improve employee experiences.You will solve complex problems and partner with other scientists and stakeholders to design the next generation of algorithms to drive the optimization of Amazon’s Employee Services. The candidate should be able to apply a breadth of tools, data sources, and Data Science techniques to answer a wide range of business questions and proactively present new insights in concise and effective manner.The candidate should be an effective communicator capable of driving issues to resolution with guidance and communicating insights to the team.Key job responsibilities* Analyze data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science* Build Machine Learning and/or statistical models that detect for trends and anomalies and track impact over time* Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping* Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams* Develop efficient data querying infrastructure for both offline and online use cases* Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes* Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.* Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentationsAbout the teamExperience Science leverages statistical methods and machine learning technologies to automatically identify employee experience defects at scale. As an employee experience research team, we seek opportunities to build scalable research mechanisms, products and insights to make it effortless for our stakeholders to identify process defects and improve the employee experience.
Applied Scientist - Prime Air
AT, Graz
Job summaryWe’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity.Come work on the Amazon Prime Air team!We're looking for outstanding scientists and engineers who combine superb technical, research and analytical capabilities with a demonstrated ability to get complex hardware, software, embedded, mobile and mission-critical systems up and running quickly and effectively. This person must be comfortable working with a team of top-notch software, hardware and applied science Engineers .We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!Export License ControlThis position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.
Research Scientist, Customer Behaviour Analytics
IN, KA, Bangalore
Job summaryAmazon.com is seeking a Research Scientist within its Global Customer Behavior Analytics (CBA) Org. Amazon’s CBA Org is focused on maximizing the value of Amazon’s customer base for all Amazon properties worldwide. The team is highly results oriented, and is focused on leveraging in-house technology in order to automate and scale marketing programs that drive new customers and maximize lifetime value of Amazon customers through measurable marketing programs and channels.We are looking for Research Scientist to join our efforts to build the next generation of analytics systems measuring marketing ROI using machine learning and econometrics at big data scale at Amazon. You will work with distributed machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to match customers and products/offers based on probabilistic reasoning.The Research Scientist will be a technical player in a team working to develop ultra-scale platforms for machine learning, and help develop new, revolutionary approaches that optimizes Amazon systems using cutting edge quantitative techniques.You need to be fluid in:· Data warehousing and EMR (Hive, Pig, R, Python).· Feature extraction, feature engineering and feature selection.· Machine learning, causal modeling, statistical algorithms and recommenders.· Model evaluation, validation and deployment.· Experimental design and testing.About the teamCustomer Forecasting and Valuation (CFV) team owns all the long-term financial impact metrics for Amazon WW that are generated by applying AI and Machine Learning techniques to big data at Amazon scale. Our mission is to create the best measure of customer long-term value for driving optimal decisions across Amazon.Our team works at the intersection of Engineering, Data Science, and Statistics with a diverse and unique mix of talent (SDEs, DEs, Economists, Applied Scientists, Research Scientists, Product Managers) collaborating each day to invent and implement cutting edge research solutions for Amazon’s benefit. Our work is the “secret sauce” for how human and automated decision making at Amazon incorporates trade-offs between short-term and long-term financial benefits.
Applied Scientist
US, NY, New York
Job summaryAmazon AI is looking for world class scientists and engineers to join its AI Labs working within natural language processing. This group is entrusted with developing core data mining, natural language processing, and machine learning algorithms for AWS services. At Amazon AI you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale natural language processing solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.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.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, Advertising
US, WA, Seattle
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!The Machine Learning Optimization (MLO) team develops algorithms and systems that improve the performance and delivery of Amazon’s Display Advertising campaigns and automates campaign management using machine learning techniques. The team develops and deploys machine learning solutions that drive ad selection, bidding, user response prediction, and automated campaign management. Customers are advertisers and publishers who do business with Amazon.We own the system for batch training of user response prediction models, while the ad serving engineering team owns the real-time model scoring component. This teams owns the system for automated management of advertising campaigns, which can dynamically adjust parameters such as budget, bid prices, and targeting to optimize for campaign performance.As a Data Scientist on this team, you will:· Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data· Apply statistical and machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you define.· - Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support optimal decision making.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
Head AWS Workforce Science
US, WA, Seattle
Job summarySenior Manager, Economics, Head of AWS Workforce Planning Research & ScienceAWS is looking for a seasoned leader to lead our Workforce Planning Research & Science function. Our Workforce Planning organization focuses on Strategic Design and Demand Planning of the AWS workforce. Our vision is the right person in the right place at the right time for the right cost, now and in the fullness of time. The Research & Science team owns the science behind all products, programs, and metrics related to workforce planning and key strategic initiatives across AWS. We come up with innovative ways to use econometrics, machine learning, and economic theory to improve the experience of AWS employees and to help the organization accelerate AWS’s growth. 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.Key job responsibilities• Manage and grow a high-performing economist/science team (including managers)• Identify and work with external and internal talent data-sets and develop ways to combine the two to answer important talent research questions• Work with AWS HR scientists and leadership to develop research roadmap; identify and pitch new opportunities to leadership that are suggested by the data• Suggest experiments and mechanisms to quantify the impact of policy changes on talent movement• Build state of the art models to predict employee headcount and movements across all Amazon businesses• Build models to understand drivers of promotion, attrition, transfers, and hires
Economist - II, Prime Machine Learning and Economics
US, WA, Seattle
Job summaryAmazon Prime is looking for a talented Economist to support analysis of increasingly complex business questions. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos and music, in an expanding number of international marketplaces. At Amazon you will be working in one of the world's largest and most exciting big-data environments. The Economist role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management. The Strategic Insights team is part of the broader Prime Machine Learning and Economics team, which is the core science team within Amazon Prime. We build audit mechanisms, create scalable strategic insights, and run model-driven simulations to ensure Prime remains one of the world’s most loved membership programs.As an Economist within the Strategic Insights team, you will work closely with a team of economists, applied scientists, and engineers, as well as our world-class business and software development teams to propose and estimate novel statistical and econometric models to directly inform strategic decisions about characteristics of the Amazon Prime membership. These include what membership prices, benefits, and benefit content deliver the most value for our customers around the world. The economist will solve these problems using causal inference, machine learning, time series and build on existing structural modeling. This position is unique in its exposure to senior members of the Prime team and other Amazon business units.The successful candidate will have demonstrated their own capacity for building, estimating, and defending causal statistical models using software such as R, Python, or STATA, with a willingness to learn causal inference and structural econometrics and creating production software. Knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. The candidate will be able to own end-to-end a research agenda in partnership with Product teams and will have to learn to invent and simplify in an ambiguous setting. The role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.
Senior Data Scientist, Alexa proactive expiriences
US, MA, Boston
Job summaryHelp us shape the future of Alexa where it not only responds to requests you make but also proactively anticipates what you might need next and informs you of it at the right moment. We are looking for a seasoned data scientists to optimize several diverse voice and visual experiences across Amazon Echo products.As a member of the Science team in the Alexa Experiences and Devices organization, you will be solving key challenges in how customers learn about and interact with voice assistants, and enable customers to get the most out of our products. You will design and develop fast, efficient, and highly scalable machine learning algorithms that are applied to natural language processing problems. You'll work with senior scientists and engineers within Alexa and develop high quality software that is robust, reliable and scalable.We’re looking for a passionate, talented, and inventive Senior Scientist to help build industry-leading ML technologies. You will work on problems spanning dialog systems, personalization, contextual bandits, recommender systems, and reinforcement learning, developing novel solutions using large-scale real-world datasets. that help provide the best-possible experience for our customers. You will partner closely with engineering and product teams to build, evaluate, and deliver your solutions. You will develop innovative solutions that enable Alexa to learn from past customer interactions to drive future engagement and utility.What You Will Do· Step in as an experienced member of data science team and establish technical credibility quickly, and help recruit elite data scientists· Contribute to setting up the analytics vision for the team, and develop and execute on a roadmap that addresses the major questions faced by the domains we serve.· Raise the bar for data analytics quality and impact. Stay up to date on metrics both within and complementary to the Alexa technology space and helping both your team and the larger org utilize tried patterns and state of the art results to work smarter and faster.· See it through — don’t stop at delivering a report or a model, use your work to influence and create durable change in how leaders at Alexa think about problems.· Solve problems durably — design processes, tools, and programs that solve entire categories of problems without you or your team’s direct intervention.· Hands-on practitioner - You yourself are actively involved in performing data analysis, A/B experimentation and modeling with large data sets to develop insights that increase device usage and customer experience.· Work closely with product managers and software engineers to design experiments and implement end-to-end solutions. Communicate the results of your optimizations to various business stakeholders.· Develop the skills of junior members through mentorship and training.· Prototype new data sources and act as a feeder to Ml team· Develop data driven insights that will push new product ideas forward· Help with reporting and perform deep dives to help Alexa leadership make data driven decisions· Develop actionable insights through your work that will set the tone for how we optimize content in Alexa and think about Feedback· Standardize measurements across Feedback and AERO programs to help builders and customer of platform speak a common language
Economist, EU Economics
GB, London
Job summaryThe EU Economics team is a central science team working across a variety of topics in the EU Retail business and beyond. We work closely EU business leaders to drive change at Amazon. We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with EU- and US-based interdisciplinary teams.We are looking for an Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale.If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.Key job responsibilities· Provide data-driven guidance and recommendations on strategic questions facing the EU Retail leadership· Design and implement version-zero (V0) models and experiments to kickstart new initiatives, thinking, and drive system-level changes across Amazon· Help build a long-term research agenda to understand, break down, and tackle the most stubborn and ambiguous business challenges· Influence business leaders and work closely with other scientists at Amazon to deliver measurable progress and change
Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI)
IN, KA, Bangalore
Job summaryAlexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Applied Science Manager to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries.A Applied Scientist II will be working with a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other junior scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.We are looking for a candidate with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of NLP models (e.g. LSTM, transformer based models) and where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.A day in the lifeYou will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.About the hiring groupThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.Job responsibilitiesYou'll contribute to the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.
Data Scientist, TA Product Development Team
US, WA, Seattle
Job summaryAre you interested in taking the world’s most broadly adopted and comprehensive cloud platform and architecting and building solutions that will deliver consumer and retail like customer excellence to the recruiting and hiring process at AWS?About the teamThe AWS Talent Acquisition Product Development team is responsible for innovating, architecting, and building, global and scalable technology solutions that transform the recruiting and hiring experience. These solutions will be utilized by thousands of people inside and outside the organization. This team and the solutions we build are a critical component in AWS’s continued growth.A day in the lifeInnovation is at the center of this team. As a Data Scientist you will work collaboratively with a global customer base, program managers, product managers, designers, and engineers to create, refine, and explore ways in which we can transform the recruiting and hiring process at AWS with chat and voice based solutions delivered to users in the flow of work. In this role, you will be a technical expert with significant scope and impact. You will work with Product Managers, Designers, Data Engineers, and Software Engineers to build new ML models to optimize customer experience for the consumption of data and market intelligence. You communicate ideas effectively, drive ideas to detailed product deliverables, and help establish success metrics to optimize results.
Applied Scientist
US, VA, Arlington
Job summaryMachine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The Amazon ML Solutions Lab team helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. We are looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help develop solutions by pushing the envelope in Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).As a ML Solutions Lab Applied Scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data and develop novel models to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will apply classical ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.The primary responsibilities of this role are to:· Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries· Interact with customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them· Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithmsThis position requires travel of up to 25%.About UsInclusive 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.This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.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.
Senior Data Scientist
US, CA, Santa Monica
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.As a Senior Data Scientist on this team, you will:· Lead Data Science solutions from beginning to end.· Deliver with independence on challenging large-scale problems with complexity and ambiguity.· Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.· Build Machine Learning and statistical models to solve specific business problems.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support optimal decision making.· Apply statistical and machine learning knowledge to specific business problems and data.· Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Build decision-making models and propose effective solutions for the business problems you define.· Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video ~ https://youtu.be/zD_6Lzw8raE
Applied Scientist
US, CA, Santa Monica
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Scientist on this team, you will:· Build machine learning models and perform data analysis to deliver scalable solutions to business problems.· Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.· Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.· Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new predictive learning approaches for the sponsored products business.· Write production code to bring models into production.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
Senior Applied Scientist
US, CA, Santa Monica
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As a Senior Applied Scientist on this team, you will:· Be the technical leader in Machine Learning; lead efforts within this team and across other teams.· Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.· Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.· Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.· Run A/B experiments, gather data, and perform statistical analysis.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new and innovative machine learning approaches.· Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
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