Abstract
We propose two new methods of speech detection in the context of voice-controlled far-field appliances. While conventional detection methods are designed to differentiate between speech and nonspeech, we aim at distinguishing desired speech, which we define as speech originating from the person interacting with the device, from background noise and interfering talkers. Our two proposed methods use the first word spoken by the desired talker, the “anchor” word, as a reference to learn characteristics about that speaker. In the first method, we estimate the mean of the anchor word segment and subtract it from the subsequent feature vectors. In the second, we use an encoder-decoder network with features that are normalized by applying conventional log amplitude causal mean subtraction. The experimental results reveal that both techniques achieve around 10% relative reduction in frame classification error rate over a baseline feedforward network with conventionally normalized features
Tags
Download

Work with us

See more jobs
US, CA, Glendale
Job summaryAmazon Advertising seeks an Economist to help develop an automated financial forecasting system for our DSP advertising business, and help model key relationships that drive advertiser value and impact our financial performance. We are looking for a motivated candidate who has operated successfully in a fast-paced, global, results-oriented environment and has the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of analyses. The successful candidate will collaborate closely with business teams to help execute and shape our product and financial strategy.If you enjoy using Econometric methods to shape strategy and build new initiatives from concept to full-scale operations this will be a good match. We are looking for a highly motivated individual to develop deep industry understanding, create new models gaining insight into advertising performance, analyze monetization strategies to maximize revenue, and provide guidance for feature roadmap prioritization and decision-making. This position will collaborate with business leaders on a daily basis and will be contributing to overall financial modeling and analysis during our operating cycle plans, periodic forecast updates, requirements planning, business reviews, and providing business insights into key initiatives.The successful candidate will be a self-starter who is comfortable with ambiguity; dives deep into data to find key relationships, creates models to better understand and forecast processes, is detail oriented and has the ability to work well with cross-functional teams including product development, science, sales, other finance teams, and senior leaders.
US, MA, Boston
Job summaryAmazon Detective team is looking for a scientist with a strong background in machine learning and distributed computing to join our group that spearheads the development of next-generation graph-based analytics and AI systems for security investigations.Amazon Detective is one of the AWS External Security Services. Amazon Detective makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities.We are a team of scientists with varied research backgrounds and experience who worked on problems ranging from discovery of gravitational waves, to quantum computing, to robotics and more. We embrace diversity of thoughts and encourage original ideas. We emphasize collaborative work culture and support professional growth. Our team is tackling some of the most challenging problems at the intersection of cyber-security, big data, and machine learning. If you are motivated to work on advancing technology and making a positive societal impact at the unprecedented scale, then this is the team for you.The AWS External Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. Our scientists work hands-on in close collaboration with security technicians, engineers, and product managers. We are customer-obsessed, and focus on research that brings value to our customers.Key Responsibilities:· Design, prototype, and validate graph models for security data, using both quantitative and business judgment· Develop new data-analysis algorithms and tools· Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex production services.· Report results in a scientifically rigorous way· Collaborate with security engineers and other scientists at Amazon on the state-of-the-art research projectsHere 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.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.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
US, MA, North Reading
The Research and Advanced Development team at Amazon Robotics is seeking innovative hands-on scientists to work on cutting edge algorithms to power automation in Amazon’s order fulfillment and transportation network. Our multi-disciplinary team includes scientists with backgrounds in AI planning and scheduling, robotic grasping and manipulation, machine learning, and operations research. We work on problems such as:- Dynamic allocation and scheduling of tasks to thousands of robots- Learning how to manipulate all the products that Amazon sells- Planning and coordinating the paths of thousands of robots- Co-design of robotic logistics processes and the algorithms to optimize themThe ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses!Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. 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 reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which 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 offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
US, CA, San Diego
The Amazon Private Brands Intelligence team applies Machine Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We develop statistical models and algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Scientists, and Engineers building Day One solutions using cutting-edge technology to solve some of the toughest business problems for Amazon Private Brands (APB).You will work with business leaders, scientists, economists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable ML models. You will invent and implement scalable ML, RL, and econometric models while also building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists, economists, and engineers. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.To learn more about Amazon science, please visit https://www.amazon.scienceAmazon 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
US, CA, Pasadena
Job summaryJoin us in a historic endeavor to make Computer Vision accessible to the world with breakthrough research! The AWS AI Labs Computer Vision team has a world-leading team of researchers and academics. We develop the algorithms and models that power AWS computer vision services, such as Amazon Rekognition, Amazon Textract, and Amazon Lookout for Vision, and we conduct and publish long-term research in broad areas of computer vision.We are looking for a senior applied science manager to join us and make the AI revolution happen through innovative research inspired by customer needs. As a Senior Applied Science Manager, you will identify research directions, create and execute roadmaps for forward-looking research and communicate them to senior leadership. You will partner with product teams to define what’s feasible while pushing the envelope on what’s possible. You will work closely with engineering teams to bring research to production. You will manage and lead multiple teams of talented scientists and science leaders, and grow the team by attracting the best scientists in computer vision and deep learning. You are expected to develop innovative solutions to hard problems, and lead your teams to publish your research results at peer reviewed conferences and workshops.AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give scientists endless opportunities to see their research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world.Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised and semi-supervised methods, multimodal learning, semi-automated data annotation, large scale image and video recognition, face detection and recognition, document OCR and scene text recognition, document understanding, and geometric computer vision.We are currently located in the US (Seattle, Pasadena, and Bay Area) and Israel (Haifa and Tel Aviv). We are open to candidates interested in working either virtually or remotely from another Amazon location. Additional locations include San Diego and New York City.About Us Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
US, WA, Virtual Location - Washington
Job summaryAmazon’s Employee Relations (ER) team is looking for a Data Scientist (DS) with a demonstrated passion for building innovative new analytics, models, tools and processes for our Employees and Leaders. Are you looking for an opportunity to build in a completely new space that will stretch you and force you to demonstrate your mastery of data science, data analytics, problem solving and enterprise wide deployments? This DS will lead new pioneering ideas from concept to reality and in this role—new bold ideas are always welcome. This DS will obsess over the Amazon employee experience and the employee voice across the organization. This DS will directly apply their knowledge to dig deep and help Amazon leaders gain actionable insights. Finding, prioritizing and resolving employee experience defects will be the mission every day. Thus, the challenge of this role is that it is never complete; we will always strive to push Amazon to be the Earth’s best employer.The Data Scientist will play a critical role in advancing our mission. You will join a tight-knit team of ER professionals, including HR, operational, program, product, tech and legal leaders. You will be supporting Amazon's World Wide Corporate, Consumer and Operations (WWCC & Ops) portfolio, and have direct impact on the daily work of over 1.3M+ Amazonians.Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, dashboarding and predictive machine learning tools. We’re looking for an enthusiastic technical expert and storyteller to explore the world of Amazon data to generate insights—connecting employee experiences to decision makers in a compelling way backed by data. Your focus will cover all aspects of how we learn more about our employees, uncover problems that need to be solved, and validate the impact of our solutions. You will work with other thinkers, creators, and communicators to build the skills of the entire team to create a research-driven organization. You will invent, refine solutions from start to finish—data sets, queries, models, reports, dashboards, analyses—to answer business questions while ensuring we are meeting the needs of the business and team goals. You will draw on your knowledge of data science best practices, big data management fundamentals, and analysis principles to build solutions that enable effective, data-driven business decisions. You will learn the business context and technologies behind your team’s data infrastructure and work with customers (e.g., researchers, economists, data engineers, business intelligence engineers, product managers) and other internal partners to ensure deliverables are aligned with expectations.If you love getting to the “a-ha” moment, when the solution to a customer or employee problem reveals itself in the data— let’s talk!Key job responsibilities• Own the design, development, and maintenance of scalable solutions for analyses and models.• Create innovative, sophisticated analytic models to address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability)• Lead technical aspects of experiment design in collaboration with the greater ER team.• Find and create ways to measure the workforce experience at multiple levels in the organization.• Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches• Document feasibility requirements, code comments and other technical documentation required to transfer knowledge to other technical staff and management• Write queries and have in-depth knowledge of the data available in area of responsibility.• Troubleshoot operational data-quality issues and review/audit existing ETL jobs and queries.• Collaborate on developing effective Dashboards to surface insights to senior leadership• Communicate pros and cons of analytic frameworks to the development team• Uncover drivers, impacts, and key influences on productivity and innovation outcomes• Develop predictive and optimization models for key applications• Navigate a variety of data sources, such as open text comments, survey results and free text fields inputs• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes• Maintain an understanding of the latest trends in data science and machine learning• Recommend improvements to back-end data sources for increased accuracy and simplicity.About the teamThe Employee Relations team is responsible for the identification of defects in our employee experience across all roles in the WWC & Ops organization and beyond. Finding these defects is not enough though; we are tasked with building and deploying products, tools and solutions to remove these defects. Our products and programs are always changing and we continually innovate to transform and improve the employee experience.
US, WA, Bellevue
Job summaryThe Amazon Air Science and Technology team is seeking an Applied Scientist to be part of a team solving complex aviation operations problems to reduce cost and improve performance. This is a blue-sky role that gives you a chance to bring optimization modeling, statistical modeling, machine learning advancements to data analytics for customer-facing solutions in complex industrial settings.You will work closely with product, research science and technical leaders throughout Amazon Air, Amazon Delivery Technology and Supply Chain Optimization and will be responsible for influencing funding decisions in areas of investment that you identify as critical future product offerings. You will partner with software developers and data scientists to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, build the machine learning or optimization models that will enable us to continually delight our customers worldwide.The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities. Excellent business and communication skills are a must to develop and define key business questions and build models that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.Tasks/ Responsibilities:· Partnership with the engineering and operations to drive modeling and design for complex business problems.· Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space.· Contribute to the mid- and long-term strategic planning studies and analysis.· Lead complex transportation modeling analyses to aid management in making key business decisions and set new policies.
US, CA, San Diego
Job summaryAmazon Science gives you insight into the company’s approach to customer focused 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.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 by preventing eCommerce fraud?Do you want to build advanced algorithmic systems that help manage safety of millions of transactions every day?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention Machine Learning group.Major responsibilities· Use statistical and machine learning techniques to create scalable risk management systems· Learning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends· Design, development and evaluation of highly innovative models for risk management· Working closely with software engineering teams to drive real-time model implementations and new feature creations· Working closely with operations staff to optimize risk management operations,· Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Tracking general business activity and providing clear, compelling management reporting on a regular basis· Research and implement novel machine learning and statistical approaches
US, VA, Arlington
Job summaryThe AWS Infrastructure Planning group is responsible for planning and coordinating a complex, multi-tier supply chain that delivers capacity for all AWS services. This includes data center setup, equipment purchase, installation and operation of servers with power and cooling, inventory management and other such decisions. We're building a new suite of tools to automate all AWS supply chain planning, with a broad charter that involves inventory optimization, placement, vendor allocation, transition management, lead time predictions, and more. We are responsible for ensuring that the AWS cloud remains elastic for its customers by taking care of all of the back-end complexity, enabling our infrastructure to stay ahead of our rapid growth.As an Applied Scientist you will use your experience to develop new strategies to improve the performance of AWS Infrastructure’s planning systems and networks. Working closely with fellow applied scientists and product managers, you will use your experience in modeling, optimization, and simulation to design novel algorithms and models of new policies, simulate their performance, and evaluate their benefits and impacts to cost, reliability, and speed of our supply chain.We are looking for experience in network and combinatorial optimization, algorithms, data structures, statistics, and/or machine learning. You will have an opportunity to work on large mathematical problems, with large elements of unpredictability. You will write and solve linear and mixed-integer problems to find optimal solutions to build decisions given capacity constraints and the demand distributions. You will also drive process changes that comes with automation and smarter optimization.Key job responsibilities· Design and develop mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of inventory management, network flow, supply chain optimization, demand planning.· Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, dynamic programming, network flows and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.· Prototype these models by using modeling languages such as R, MATLAB, Mosel or in software languages such as Python.· Create, enhance, and maintain technical documentation, and present to other Scientists, Product, and Engineering teams.· Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans· Influence organization's long term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists.About the teamThe AWS Infrastructure Supply Chain Technology Applied Research team drives technological advances and develops machine learning, optimization and simulation products to address complex challenges in the AWS Infrastructure supply chain.We sit at the intersection of science and engineering, and innovate on behalf of customers to solve ambiguous problems that haven’t quite been fully articulated or even anticipated.
US, NY, New York
Exciting new opportunity as the founding team member for Sponsored Products beyond the retail store!If you are looking to make an impact, this is the team for you. You will not only have the satisfaction of seeing your work directly on the Amazon website and beyond where it will be viewed by tens of millions of customers and drive quantifiable revenue impact, with the opportunity to help shape our engineering and product roadmaps. We are not bound by legacy systems and have a broad mandate to experiment, which gives us great flexibility as we design and develop our services. You will have an opportunity to contribute across the full stack and even dabble in some novel Machine Learning opportunities. Most importantly, you will have an opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.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 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 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
US, WA, Seattle
Job summaryThe F3 (Fresh, Food, Fast) organization enables customers to buy fresh groceries, household essentials, and most popular products from Amazon.com. Our business is global and we lead the innovation in ultra-fast grocery delivery and physical stores experience (Just Walk Out technology) to delight customers more than ever before. As our business is rapidly scaling up, we need to continue developing and improving scalable economic and science solutions to support business growth and better customer experience.We are looking for an economist manager to build a team of scientist and determine the long-term vision for how we set prices in F3. In this cross-functional role, you will partner and work closely with SDEs, business stakeholders, finance, BIEs, and product managers to determine and execute on optimal pricing online and in stores. As a thought leader, you will clearly communicate your vision, models, and results to influence a variety of senior stakeholders. You and your team will apply a battery of economic (demand estimation, casual inference, time series forecasting, etc.) and ML (prediction, outlier detection, cluster analysis, NLP/NLU, etc.) methods. You will own the whole cycle of model development including ideation, prototyping, validation, experimentation, and integrating models into production systems while working with a dedicated team of SDEs.Key job responsibilities· Lead strategic vision for product pricing, define roadmaps, and write PRFAQs, while balancing multiple business objectives.· Build, manage, and coach a high-performing team of economists and scientists; review and audit modeling processes and results.· Set team priorities and help the team to choose the right science methods while balancing delivering high impact with raising the science bar at Amazon.· Lead global complex product launches from a scientific perspective including identifying key milestones, potential risks, and paths to mitigate risks.· Partner and work closely with a dedicated team of engineers to put scientific solutions in a production system.· Write technical and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds.
US, VA, Virtual Location - Virginia
AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. We are looking for a passionate and talented Data Scientist who will collaborate with other scientists and engineers to develop computer vision and machine learning methods and algorithms to address real-world customer use-cases.You will design and run experiments, research new algorithms, and work closely with talented engineers to put your algorithms and models into practice to help solve our customers' most challenging problems.This position requires that the candidate selected be a U.S. citizen and obtain and maintain an active TS/SCI security clearance.Primary responsibilities for you in this role:· Research, design, implement and evaluate novel computer vision algorithms.· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields.· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms· Interact with customer directly to understand the business problems and aid them in implementation of their ML solutions· This position can have periods of up to 10% travel.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.We are dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we are building an environment that celebrates knowledge sharing and mentorship.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we are happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.**If you have questions, wish to apply or refer someone contact Josh May directly - joshmy@amazon.com**#US_WWPS_ProServ #US_WWPS_ProServ_DML
US, WA, Seattle
Job summaryAre you passionate to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions to help Selling Partners and Customers on Amazon? Want to work on the business that is the lifeblood of Amazon? Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. Our team will invent and innovate across technology, processes and people to grow the program, improve engagement and satisfaction and enable scalable solutions.We are looking for an Economist to lead us to identify data-driven insight and opportunities to improve our seller recruitment strategy and drive new seller success. As a successful economist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of econometric models and advanced quantitative techniques for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with economists and scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).What you'll do:· Provide data-driven guidance and recommendations on strategic questions posed by the NSS leadership.· Design and analysis of account coverage experiments and define and analyze success metrics across sales team optimization, marketing and new seller education and recommendation programs.. Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results.· Provide technical and scientific guidance to your team members, both junior and senior.· Communicate effectively with senior management as well as with colleagues from science, engineering, and business backgrounds.
GB, London
Job summaryDo you want to own research that enables the highly scalable, massive throughput machine translation service at the core of Amazon's product localization? Join the Consumer Localization team as a leader in a group of machine learning scientists and engineers dealing with some of the largest scale problems across Amazon. We create automatically billions of product pages on all Amazon marketplaces enabling many millions of customers worldwide to shop in their native language.As part of our team you will be pushing the boundary on applied ML in the localization space. You will· build and drive a research agenda to ensure we can deliver optimal translation quality for product data at a massive scale· broaden our vision on how we can apply ML technology to further improve all stages of the product localization process· design, experiment and evaluate innovative models to solve end-to-end business problems with ML, and verify the business impact of your solutions· research and implement novel machine learning approaches and define how we can apply them in our domain· mentoring and guiding Machine Learning Scientists and Engineers with regard to strategic research and experimentation best practicesThis is a unique opportunity at Amazon with great exposure: All of Amazon’s customers worldwide will be your customers. Come join us!
AT
Job summaryThe position will be to form the glue between developers and Wickr’s Cryptographic Research Teams. That is, the primary task will be to work closely with a team of developers to prototype, implement, test and tune the newest designs from Wickr’s Cryptographic Research program. The position will be responsible for communicating all relevant cryptographic concepts to the dev team and ensuring the implementation reflects the designs intension. The primary implementation language (for production code) will be Rust. The focus will be on next generation end-to-end secure protocols.The secondary task will be to provide feedback to the Cryptography Research team based on lessons learned from your developer work. The feedback will include things like identifying problems or potential new features in the cryptographic designs to help guide the research program. Deeper collaboration on specific research projects with the research team will, on occasion, also be an option.An ideal candidate for this job has the following traits:· Strong background in applied cryptography or cryptographic engineering. Especially with a focus on cryptographic protocols.· Experience coding security sensitive applications.· Good command of Rust.· Good communicator. In particular, able to communication technical topics to non-experts.· Works well in teams.
US, WA, Seattle
Job summaryJob summaryAs the Applied Science Manager within AWS Global Lead Management & Operations, you will help build a team that leads creation and innovation on the next generation of Machine Learning (ML) technologies on Native AWS Lead Management System. Our team owns creating ML solutions that understand long-term leads converting patterns, modeling the patterns into algorithms and applying machine learning techniques operating at world-class scale, we focus on prioritizing and routing the right potential customers to the right sellers at the right time.Key job responsibilitiesAs the Applied Science Manager for the NAWS lead management system, you will be responsible for leading and managing a team of scientists and analysts to support the ML solution and application for global marketing team’s strategic projects and future state initiatives.This role will develop innovative solutions to implement ML capability into marketing and sales workflows, deliver data-driven methodology in enterprise scale, to enable lead management enhancements, enhance data hygiene across systems, and lead the analytics used to consistently refine and improve sales and marketing workflow processes. You will provide technical leadership on analytics and ML programs for partner engineering team to design the overarching architecture on data ingestion, model processing pipeline and test/validation framework.This role is in Seattle but also open to other locations with AWS offices. Relocation within the US is only available to Seattle.
US, WA, Seattle
Job summaryAmazon Prime is looking for a talented Senior Economist Manager to help manage our ever growing information needs and 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 Senior Economist Manager role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management.As a Senior Economist Manager within Amazon Prime, you will manage a team of economists, applied scientists, and engineers, working closely with 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. Your team will solve these problems using structural econometrics, causal inference, machine learning, and massively parallelized scientific computing, and work closely with our software development team to automate these models at scale in distributed computing infrastructures such as Apache Spark. 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. Additionally, this candidate will show a track record of managing others to perform these tasks, creating a strategic vision for teams and managing team workflows, at-scale and on time. The role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.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, visit https://www.amazon.jobs/en/disability/us
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!The Campaign and Creative Services (CCS) organization's mission is to drive advertiser success. Specifically, CCS is responsible for defining and managing customer-obsessed ad policies across the entire advertising business, generating bar-raising creatives, and ensuring timely and flawless campaign execution and support. CCS plays an important role in educating and guiding advertisers toward the best standard or custom solution to meet or exceed their objectives, including assistance navigating the Amazon consumer ecosystem. The Moderation Automation and Relevance Systems (MARS) team programmatically assists advertisers by providing fast and relevant creative feedback frictionlessly. When an advertiser submits a campaign (or content), it flows through certain intermediate upstream systems and then enters the MARS Automation Pipeline i.e. Lestrade. This pipeline is set up such that, it has several automated checks to review an incoming campaign (or any other content), and flag any violations in policies identified for that specific type of content.As an Applied Scientist on this team, you will:· Build ML models to address content intelligence problems· Build advanced algorithms to generate AI powered multi-modal content.· These models will rely on a variety of visual, textual and multi-modal features requiring expertise in these domains.· These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models.· Propose hypotheses, validate these offline and run A/B tests to validate them online.· As part of these activities, you will develop production level code that enables high-quality content generation and ranking.· Use your expertise to generate different aspects of creatives for advertisements including — image-based content creation, script generation and content summarization, realistic text-to-speech/voice-over generation, AI-powered music generation and video synthesis· Work closely with software engineers on detailed requirements to productionize the ML models you build.· 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.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new innovate machine learning approaches.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
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!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.
US, WA, Seattle
Job summaryJoin the Amazon Web Services (AWS) Finance, Analytics, and Science Team! AWS is one of Amazon’s fastest growing businesses, serving millions of customers in more than 190 countries. We are reshaping the way global enterprises use information technology and we are powering the next generation of global business leaders. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.As a Data Scientist, you will be expected to work directly with senior management on key business problems. Scientists at Amazon use statistical and ML models to address complex problems, design and test hypotheses, and contribute to the design of automated systems. We are looking for a results-driven scientist to join our team in Seattle. The right candidate will work closely with other scientists, business leaders, business intelligence engineers, and data engineers.The key strategic objectives for this role include:· Work with the AWS Partner Organization to provide data- and model-driven guidance and recommendations on strategic questions posed by leadership.· Identify opportunities to measure and help improve productivity with the end goal of driving growth.· Conduct, direct, and coordinate all phases of data science projects, demonstrating skill in defining key research questions, working with multiple data sources, evaluating competing models, and interpreting and communicating results.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, we want to talk to you.This role can be based in Seattle, WA, Herndon, VA, or Jersey City, NJ.