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Applied Scientist, Alexa AI
US, CA, Sunnyvale
Amazon is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.As an 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 novel 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. You will mentor junior scientists, create and drive new initiatives.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.
Data Scientist, Alexa AI
US, WA, Bellevue
Come join the Alexa team, building the speech and language solutions behind Amazon Echo and other Amazon products and services! You will help us invent the future.As a Data Scientist of the Alexa AI Team, you will research and create models, improve models for natural language processing and speech recognition problems.You will gain hands-on experience with Amazon’s heterogeneous structured data sources; as well as large-scale computing resources to accelerate advances in training deep neural networks for natural language understanding and automatic speech recognition on thousands of hours of speech. You will be supporting the solutions of highly visible and impactful business problems in the areas of new product development, automation, self-service solution and quality improvement, to continue to delight Alexa customers and help driving Amazon business performance.The ideal candidate should be passionate about delivering experiences that delight customers and creating solutions that are robust. They will be creating reliable, scalable and high performance products that require exceptional technical expertise, and a sound understanding of the fundamentals of Machine Learning.An ideal candidate should also:· Have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes.· Be expected to balance detailed execution with speed and possess solid collaborative skills.· Have an ability to work in a fast-paced environment where every day brings new challenges and new opportunities.· Have excellent business and communication skills and be able to work with business owners to develop and define solutions.This position involves regular communication with senior management on project status and risks. Cross-team coordination, project management, and executive presentation skills are essential.
Senior Applied Scientist
US, NY, New York
Our team produces the long term forecasts for Amazon that support numerous strategic and tactical decisions and systems within Amazon. We are looking for a new Applied Scientist that can help us build the next generation of forecast systems in Topline. As a Senior Applied Scientist, you are an expert in Machine Learning, Deep Learning or High Frequency forecasting who is enthusiastic working with large time-series datasets. You will help us create our next generation line of Topline long horizon forecast engines. You have experience with Deep Learning, but also know time series. You are enthusiastic about modeling but also at investigating strong signals and their interactions.A day in the lifeYou will:1. Explore data: sift through large sets of data to investigate features and signals that might be good predictors2. Build Forecasting and Predictive Models: explore forecasting and predictive methods to help us model and forecast Topline demand3. Improve our overall strategy: you think strategically and see the big-modeling-picture and have a good intuition of which modeling components to build in order to have the largest impact4. You are an excellent coder who writes and organizes code with robustness and keeping an eye for the future5. You are a builder and are passionate about creating our next generation modeling stack.6. You are customer obsessed and work backwards from customer needs.About the hiring groupWe are a team of Data Scientists, Economists, Research and Applied Scientists with expertise in Econometrics, Time Series, Machine Learning and Data Science.Job responsibilities1. Drive model development: explore long horizon forecasting strategies2. Explore data: implement robust feature and signal extraction models and seek signals that support our models and/or insights3. Analyze performance: run backtests and analyze the relative performance of your models4. Write robust scalable code that will be the foundation of our Topline forecasts5. Articulate and deliver insights to the teamAmazon 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.
Research Scientist III
US, WA, Seattle
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.We are looking for an enthusiastic, customer obsessed, Operations Research Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools.The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.Strong candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes.This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.Responsibilities may include:· Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations· Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans· Managing multiple projects simultaneously· Working with technology teams and product managers to develop new tools and systems to support the growth of the business· Communicating with and supporting various internal stakeholders and external audiences
Applied Scientist
US, WA, Bellevue
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing Customers with the opportunity to find and discover virtually anything they want to buy and providing millions of Sellers with a platform for growing successful businesses. Thousands of Amazon Sellers ship their orders directly from their own warehouse and we are building software to help them offer their items through programs like Seller Fulfilled Prime, Fulfillment by Amazon Onsite, Merchant Fulfilled Same Day Delivery, and Premium. We innovate and design our services and tools with a focus on customer and seller experience, followed by our focus on technology and worldwide scaling.The Seller Fulfillment Services team is looking for an Applied Scientist to be based in Bellevue area. As a key member of SFS, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance the customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.An ideal candidate will be an expert in the areas of machine learning and statistics who will have expertise in applying theoretical models in an applied environment. The candidate will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models including transfer learning. Challenges will involve dealing with very large data sets and requirements on throughput.Responsibilities include:· Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems· Use machine learning best practices to ensure a high standard of quality for all of the team deliverablesAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Data Scientist III
US, WA, Seattle
How to use the world’s richest collection of e-commerce data to improve payments experience for our customers? Amazon Consumer Payments Global Data Science team seeks a Sr. Data Scientist for building analytical solutions that will address increasingly complex business questions in the North America Credit space.Amazon.com has a culture of data-driven decision-making and demands insights that are timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.As a Sr. Data Scientist in this team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the North America Credit business team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.Responsibilities· Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard regression and classification techniques such as Random Forest, XGBoost package, Keras framework· Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management· Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area· Innovate by adapting new modeling techniques and procedures· You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets· You should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive· You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems· You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.· You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions· Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers
Data Scientist
US, VA, Arlington
Come and build innovative services that protect our cloud from security threats. As an AWS Security 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 create opportunities for you to continuously develop into a more well-rounded leader and builder, enabling greater customer impact and influence over time.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.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 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 values work life balance. 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.
Data Scientist II
CA, ON, Toronto
Amazon Sponsored Ads is one of the fastest growing business domains and we are looking for talented scientists to join this team of incredible scientists to contribute to this growth. We are still in Day 1 and there is an abundance of opportunities that are yet to be explored. We are a team of highly motivated and collaborative team of machine learning and data scientists, with an entrepreneurial spirit and bias for action. We have a broad mandate to experiment and innovate, and we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Sponsored Products (SP) Bids and Budgets team is focussed on helping advertisers set their campaign bids and budgets in an optimized fashion. The team owns optimization and recommendation systems that provide advertisers with controls as well as guidance to set optimal budgets. These services are powered by backend machine learning algorithms that interact and build upon a wide range of components such as CTR prediction, dynamic pricing, ranking, ad relevance, ad quality, query understanding, recommendation systems, and much more. Our technology enables thousands of brands, vendors, sellers and authors to drive discovery and sales of their products across millions of customers.We are looking for an Data Scientist to build the next generation of optimization and recommendation services for advertisers. You will be expected to demonstrate strong ownership, and should be curious to learn and leverage multi-modal data (textual, image, etc.) to help advertisers optimize their performance. This role specifically will focus on building data science systems for bids and budgets. This role will challenge you to utilize cutting edge machine learning techniques in the domain of multi armed bandits, reinforcement learning, natural language processing (NLP), deep learning, and image recognition to deliver significant impact for the business. The ideal candidates should be able to work cross functionally across multiple stakeholders, synthesize the science needs of our advertisers, develop models to solve business needs, and implement solutions in production. Hence, we would expect them to be independent, have a natural bias to action, strong communication skills, and be agile to make continuous incremental progress on a project without losing focus of the end goal.As a Data Scientist on this team you will:· Solve real world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Applied Scientists, Engineers, BIE's, and Product Managers.· Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.· Deliver with independence on challenging large scale problems with ambiguity.· Manage and drive the technical and analytical aspects of Advertiser segmentation; continually advance approach and methods.· 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 decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Apply statistical or machine learning knowledge to specific business problems and data.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify these 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 solution for the business problem you defined· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.· Utilize code (python or another object oriented language) for data analyzing and modeling algorithms.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering 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 highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou 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 fundamentally 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
Deep Learning Scientist, Speech and Vision
PL, Warsaw
Our team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies. We not only work on giving Alexa, the ground-breaking service that powers Echo, her voice, but we also develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.We are looking for a passionate, talented, and inventive Deep Learning Scientist to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers.As a Deep Learning Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to advance the state of the art in speech synthesis.Position Responsibilities:· Participate in the design, development, evaluation, deployment and updating of data-driven models for text-to-speech applications.· Participate in research activities including the application and evaluation of text-to-speech techniques for novel applications.· Research and implement novel ML and statistical approaches to add value to the business.· Mentor junior engineers and scientists.
Sr. Data Scientist
US, NY, New York
Amazon Live is looking for a passionate, talented and creative Sr. Data Scientist to help build industry-leading content recommendation technology. This is a unique, ground floor opportunity to create best in class interactive and personalized shopping experience.A day in the lifeAs a Sr. Data Scientist, you will design, evangelize, and implement solutions to address complex business questions using advanced statistical techniques, experimentation, and big data. You will partner with business and tech leaders to conduct experiments and draw insights from statistical analyses. You will spearhead building ML models and tools that drive continuous improvements of our customer’s experience.About the hiring groupAmazon Live is a new and rapidly growing shopping experience that leverages the interactivity of live streams to help customers discover cool new products and content creators. Our mission is to revolutionize the way customers shop and discover products on Amazon. Check us out on: https://www.amazon.com/liveJob responsibilitiesWe are looking for creative thinkers who can combine a strong analytical toolkit with a desire to continue innovating, and who are able to execute and deliver on big ideas.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.
Senior Deep Learning Scientist
PL, Warsaw
Our team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies. We not only work on giving Alexa, the ground-breaking service that powers Echo, her voice, but we also develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.We are looking for a passionate, talented, and inventive Senior Deep Learning Scientist with a background in Machine Learning, to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers.As a Deep Learning Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to drive the state of the art in speech synthesis.Position Responsibilities:· Participate and lead the design, development, evaluation, deployment and updating of data-driven models for text-to-speech applications.· Participate in research activities including the application and evaluation of text-to-speech techniques for novel applications.· Research and implement novel ML and statistical approaches to add value to the business.· Mentor junior engineers and scientists.
Sr. Applied Scientist
US, WA, Seattle
Interested in leading a new team involving data sciences, algorithm development (machine learning, natural language processing) and an opportunity to impact every Amazon customer?The newly formed Reconciliation team is responsible for the critical services that assemble the product detail pages on the Amazon website by combining data from sellers, vendors or internal systems, in real-time, and millions of times a day. These services, which are a core part of the Amazon's catalog, are being re-built from scratch. The team offers a unique blend of hard machine learning and computer science problems (scalable distributed ML systems and high-performance natural language algorithms ) and an opportunity to help the businesses model their vision on the platform.The Recon team is looking for an innovative and customer-focused applied scientist to help us make the world’s best product catalog even better. In this role, you will partner with technology and business leaders to build new state-of-the-art algorithms, models, and services to pick best product facts that matter to our customers. You will work in a collaborative environment where you can experiment with massive data from the world’s largest product catalog, work on challenging problems, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers.Successful candidates are passionate about translating high-level, ambiguous business goals to science problems that enable multiple businesses. You are comfortable taking initiative and working alongside and top-notch scientists.Item Master is modernizing the Reconciliation algorithm and related services that determine what product details shows on every detail page. We're looking to build out a new team to solve some very hard engineering problems that include incorporating ML algorithms. This is an opportunity to have to huge impact as this platform is used by 3p sellers, Digital, Amazon Retail and is core to Amazon’s e-commerce business. If you enjoy working with really smart scientists, SDEs and Principals and on a team with low operations, let's talk soon!Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.
Applied Scientist
US, WA, Seattle
Passionate about books, reading and Demand Science? Kindle/Books Demand Science team is seeking an experienced Applied Scientist to unlock the power of the information stored in the 1B+ searches, clicks, purchases, reading and borrows. A successful candidate will bring deep technical expertise, desire to positively impact Books customer experience, and passion for Science.Please visit https://www.amazon.science for more informationThe Kindle/Books Demand Science team is developing our Demand Science arm to optimize supply chain outcomes for Books. We look to optimize these outcomes by applying an understanding of our customer’s preferences and behaviors through initiatives including:· Building and refining demand forecasts which are explainable and actionable· Better serving our customers by understanding their content preferences amongst our various reading formats and programs· Developing a deep understanding of content substitutability and complementarity and its impact on demandCore Responsibilities· Leverage the latest advancements in ML to lead the research efforts in adopting/creating ML science for books· Develop and deploy (in partnership with Engineering, Science and Product Management teams) ML models that power specific applications· Develop, explain, and socialize evaluation metrics for ML models· Mentor and collaborate with other scientists on basic and applied research
Sr. Research Scientist - Sustainability / Carbon Neutralization
US, WA, Seattle
Amazon’s commitment to The Climate Pledge motivates us to work both inside and outside of our business operations to enact carbon emissions mitigation. Along with the emissions reduction initiatives within our business operations, we have a robust strategy aligned with climate science for tackling climate change outside of our business, beginning with nature-based solutions. For example, in April 2021 Amazon announced its leading role in the LEAF Coalition – an initiative that aims to raise global climate ambition and contribute to halting tropical and subtropical deforestation and forest degradation by 2030. As we continue to develop and innovate, Amazon is seeking an experienced Research Scientist to help us identify, evaluate, and guide research efforts in nature-based solutions as well as emerging areas. The ideal candidate will have a deep understanding of carbon cycles and be able to evaluate projects and initiatives across a wide range of natural and technological climate mitigation measures from a first-principles perspective. They will have expertise in one or more types of climate solutions, but more importantly will understand the broad field of solutions.The successful candidate will be part of the team executing on Amazon’s commitment to The Climate Pledge. They will need to work with others to create a system to evaluate nature-based and technological climate solution projects, and make recommendations to senior leadership. This will require strong writing skills and an ability to translate technical material for a general audience.Key Responsibilities:· Evaluate nature-based and technological climate solution projects using a scientifically rigorous first-principles approach.· Evaluate project and research proposals.· Collaborate with internal and external teams to scope, execute, and evaluate highly technical initiatives related to nature-based and technological climate solution projects.· Translate findings into reports and presentations that can be shared internally and externally.· Respond to time-critical questions from multiple business teams and communicate professionally with senior business leaders.
Economist - AMZ4364
US, WA, Seattle
Would you like to join a fast-paced team creating cutting edge econometrics and machine learning tools used to enhance the lives of Amazon Prime members worldwide? If so, the Prime Economics and Machine learning team is looking for you! We are seeking a talented economist to help us build the next generation of counterfactual modeling tools in Prime. This team is comprised of economists, applied scientists, software/data engineers, and product managers. We work closely with senior Prime leadership to model the implications of company-wide strategic decisions and expect our models to increasingly power customer-facing software systems.A day in the lifeYou build econometric models of Prime customer behavior from scratch. This involves exploring data to motivate modeling assumptions and proposing identification strategies, statistical estimators, and finite/large sample inference strategies. This science usually combines tools from machine learning, reduced-form causal inference, and structural econometrics, often leading to the creation of novel estimators. You vet your work with a team of econometricians, PhD computer scientists/applied mathematicians/statisticians, and well-known academics who serve as Amazon Scholars. You build science using the latest distributed computing infrastructures (e.g., PySpark), partnering with our data/software engineers and product managers to turn this science into scalable, system-facing, high-impact software.About the hiring groupWhat makes our team unique is three things. First, it has a broad mandate to model customer behavior (given that Prime is Amazon’s flagship membership program). Second, we build cutting-edge customer-level simulations using a variety of statistical tools (ML/econometrics/causal inference). This simulation capability is fairly unique across economics/ML-building teams at Amazon, creating green-field scientific and engineering challenges to invent solutions for. Third, given Prime's central role within the company, we have extensive access to senior company leaders, since we often provide timely insights for important strategic decisions. In other words, Prime science serves a "central brains" function for Amazon.Job responsibilitiesMULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLC, an Amazon.com CompanyTitle: EconomistWorksite: Seattle, WAPosition Responsibilities:Work directly with a team of economists and senior management on key business problems faced by Amazon Prime and Prime benefit teams. Apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Build econometric models using company data. Apply economic or econometric theory to solve business problems. Develop new techniques to process large data sets, address quantitative problems, and contribute to the design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity, and IV) or forecasting (essential time series models). Leverage big data tools for data extraction. Write up and present analyses for distribution to various levels of management at Amazon.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000Amazon 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.
Senior Machine Learning Scientist
US, WA, Seattle
Do you want to know about new movies and TV shows that you'll enjoy the day they come out? So do millions of our customers, world wide. Did you know we have a wide range of niche content including Natural Park documentaries, Kung-fu movies, or Korean dramas on our service? No? Well, we're looking to change that. Come be part of history, as we fulfill Prime Video's vision of being customer's first place to find something to watchA day in the lifeWe're using cutting edge approaches such as graph convolutional networks (GCNs) to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external ML conferences (e.g. https://dl.acm.org/citation.cfm?id=3292500.3330675).About the hiring groupPrime Video Recommendation science team owns different aspects of personalization algorithms, from user-item relevance, item-item relevance, and page composition, to name a few. We work closely with the engineering teams to put our models in production.Job responsibilities· Develop ML models for various recommendation systems using deep learning, online learning, and optimization methods· Work closely with engineers and product managers to expand the depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps· Provide technical and scientific guidance to your team members· Stay up-to-date with advancements and the latest modeling techniques in the field· Publish your research findings in top conferences and journalsAmazon 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.
Sr. Research Scientist - EV Performance
US, WA, Bellevue
The Last Mile Global Fleet and Products (GFP) team’s mission is to provide the vehicles and services that enable Amazon to delight customers through our Last Mile operations. Amazon is continually striving to innovate and provide best-in-class delivery experiences through the introduction of pioneering new products. GFP is on track to purchase and deploy 100,000 electric vehicles (EVs) by 2030 as part of Amazon’s Climate Pledge.Are you inspired by...· The rapid growth and expansion of electric vehicles into the market?· Being part of a effort to drastically reduce carbon emissions?· Working on tough problems at a scale and pace never done before?Then come join our team and help us make history!As a Sr. Research Scientist on the GFP Energy Systems team, you’ll apply your knowledge of electric vehicles (EVs) and couple that with a background in modeling, data science, and software development to help us predict how our EVs will perform in the field. You’ll develop a deep understanding of how our EVs use energy while in use, and provide guidance and recommendations to our deployment and business teams to help ensure our fleet is successful as we scale. This role is inherently cross-functional and requires working closely with software teams, research teams, operations teams, and product management teams to help deploy our EVs into an electrified Last Mile network.#lastmileAmazon 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.
Manager, Applied Science
US, WA, Seattle
Amazon’s Sustainability Science and Innovations (SSI) organization creates the tools and data to map, measure, and model Amazon's environmental and social impacts at enormous scale.The Role:We're looking for an outstanding Science Manager who combines technical, research, and team management capabilities with a demonstrated ability to get the right things done quickly and effectively.In this role you will lead a team of scientists and will also be responsible for conducting assessments of environmental and social issues across Amazon, evaluating the sustainability impacts of supply chains, from manufacturing, to transportation, to consumer use, to end-of-life. This candidate will also possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders.This is a unique opportunity for someone who wants to combine their passion for sustainability, solving customer problems using data, and building cutting edge machine learning solutions. You will be expected to dive deep into large-scale economic problems, enable measurable actions on the Sustainable economy, and work closely with a large team of scientists and economists. We are particularly interested in candidates with experience building predictive models with Amazon data.Key Responsibilities:· Manage sustainability-related research projects through all stages: framing, data collection, analysis, modeling and visualization, and reporting.· Lead and develop a team of scientists.· Create tools and methods to harvest and continuously update data to provide sustainability insights at scale.· Respond to time critical questions from multiple business teams.· Professionally communicate to senior business leaders.· Work closely with software engineering teams to drive real-time model implementations and new feature creations.· Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.
Applied Scientist: Human and Machine Learning
US, VA, Arlington
Amazon’s Global Learning & Development (GLD) Learning Science and Engineering team is growing quickly and is looking for a skilled, driven, applied scientist to develop solutions and innovate at the intersection of human and machine learning.The Learning Science and Engineering org is reinventing workplace learning by building the programs, products, technologies and mechanisms that make learning effective and scalable for Amazon employees. We use machine learning to augment human decision-making to accelerate and personalize learning and skill development. We have a passion for raising the bar on learning and learning design at Amazon, and simultaneously contributing to the science of human and machine learning. We partner with multiple businesses across Amazon to explore ways to help Amazon employees grow their knowledge and capabilities. We publish research and present our work at internal and external conferences.We are looking for someone with a passion for learning and experience applying machine learning to augment human decision-making. The role will continuously improve learning programs using an array of creative approaches which drive productivity, innovation, and operational excellence. As an Applied Scientist, you will be working with scientists, engineers, learning designers, product managers, and stakeholders to deliver products or features of products that accelerate learning.Specific responsibilities include:· Design, develop, and implement models and solutions to support collaborative learning environments that can help accelerate human learning.· Deliver Machine Learning solutions to improve learning experiences that can help learners learn more effectively and efficiently.· Deliver data-driven solutions to assist learning designers to scale up best design practices.· Deliver innovative and impactful solutions that can solve customer pain points.· Deliver scientific findings about human learning to the broader science communities.
Machine Learning Scientist
US, WA, Seattle
Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award-winning original content, add-on subscriptions including HBO and Showtime, and live events like Thursday Night Football and Major League Baseball. We are a premier provider of digital entertainment worldwide and we continue to grow very quickly! We need your passion, innovative ideas, and creativity to help continue to deliver on our ambitious goals.Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience ? Do you want to build advanced algorithmic systems that help millions of customer every day? If yes, then you may be a great fit to join our Amazon Prime Video team.A day in the lifeAs an applied scientist, you will apply your knowledge of deep learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models.You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels.About the hiring groupWe are expanding our scene understanding team to drive compliance automation and exceptional customer experience using machine learning, computer vision, audio processing, and natural language understanding. Automation of video understanding at scale is our mission and passion. We need to solve problems across many cultures and languages. we have a huge amount of human-labelled data, and operation team to generate labels across many languages. Our team innovates, with many novel patents, inventions, and papers in the motion picture and television industry. We are highly motivated to extend the state of the art.Job responsibilitiesAs an applied scientist, you will apply your knowledge of deep learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. This is a greenfield with no "off-the-shelf algorithms" that can perform the job. We experiment a lot and it is a must to learn and be curios. You will be encouraged to see the big picture, be innovative, and positively impact millions of customersWe embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.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.
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