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US, WA, Seattle
Amazon is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading Speech technology. Our mission is to push the envelope in Alexa's capability to understand customer's speech by not just transforming speech to text, but understand the non-lexical component of communication by speech, for example intonation, pitch and speed of speaking, hesitation noises, gesture, and facial expression to make Alexa more human-like.As a Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in understanding and solving prosody. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.The ideal candidate is clearly passionate about delivering experiences that delight customers and creating solutions that are robust. Creating reliable, scalable and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. We value academic collaborations and encourage our scientists and engineers to publish in conferences and do open source contribution.
US, WA, Seattle
Are you experienced at applying machine learning to big-data tasks? Are you excited by analyzing and modeling terabytes of text, images, and other types of data to solve real-world problems? We love data and we have lots of it. Join a high impact innovative team of scientists, economists and engineers who use Machine Learning, Statistics and Econometrics to develop highly innovative and impactful products that influence the company’s bottom line.The Central Economics team supports the executives to drive the global optimization across almost all key business units of Amazon, including market design, pricing, forecasting, online advertising, search, supply chain network planning, and other areas. Our team is building a number of highly innovative and impactful products, such as Amazon Economics Intelligence Service, Amazon Search/Discovery optimization, and Amazon Corporate Bridging Service. Join us to build revolutionary products that has significant impact of the company’s footprint. We are looking for versatile and passionate scientists who want to develop industry leading technologies and set the bar for every other company.As an applied machine learning scientist, you work with a team of scientists to drive technology and research directions. You will work on projects of large opportunities. You will collaborate with economists, engineers and product teams. Your work will have a direct impact on the bottom line of our business while improving customer experience. If big data, cutting edge technologies and building intelligent systems excite you, if you love to innovate and deliver results, then we want you to be on our team.· Use machine learning and statistics techniques to create scalable solutions for business problems· · Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes· · Design, experiment and evaluate highly innovative models for predictive learning· · Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations· · Work closely with business staff to optimize various business operations· · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· · Track general business activity and provide clear, compelling management reporting on a regular basis· · Research and implement novel machine learning, statistical and econometrics approaches
US, VA, Arlington
Are you passionate about networking, Big Data, machine learning and cybersecurity? Are you ready for an exciting opportunity to work with some of the best data scientists and technologies and thrive in a super dynamic environment? Do you want to help secure millions of enterprises and organizations who are running their business in cloud at an unprecedented scale?How about making a difference in making the whole Internet more secure?Amazon Web Services (AWS) is looking for data scientists to joint its cyber-security analytics team.You will leverage cutting-edge data technologies to perform statistical inference, classification, clustering, and various predictive analysis for a wide spectrum of problems in cybersecurity. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help extract new insights and drive new initiatives to defend against cyber-attacks. You will be working with a large variety and huge volume of of data sets, advanced security and data technologies, and world-class operation teams to create awesome analyses for cyber security.The preferred location for this position is Baltimore, MD, but it can also be located in Herndon, VA or Arlington, VA (HQ2).
US, MD, Baltimore
Are you passionate about networking, Big Data, machine learning and cybersecurity? Are you ready for an exciting opportunity to work with some of the best data scientists and technologies and thrive in a super dynamic environment? Do you want to help secure millions of enterprises and organizations who are running their business in cloud at an unprecedented scale?How about making a difference in making the whole Internet more secure?Amazon Web Services (AWS) is looking for data scientists to joint its cyber-security analytics team.You will leverage cutting-edge data technologies to perform statistical inference, classification, clustering, and various predictive analysis for a wide spectrum of problems in cybersecurity. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help extract new insights and drive new initiatives to defend against cyber-attacks. You will be working with a large variety and huge volume of of data sets, advanced security and data technologies, and world-class operation teams to create awesome analyses for cyber security.The preferred location for this position is Baltimore, MD, but it can also be located in Herndon, VA or Arlington, VA (HQ2).
US, VA, Arlington
Are you passionate about networking, Big Data, machine learning and cybersecurity? Are you ready for an exciting opportunity to work with some of the best data scientists and technologies and thrive in a super dynamic environment? Do you want to help secure millions of enterprises and organizations who are running their business in cloud at an unprecedented scale?How about making a difference in making the whole Internet more secure?Amazon Web Services (AWS) is looking for data scientists to joint its cyber-security analytics team.You will leverage cutting-edge data technologies to perform statistical inference, classification, clustering, and various predictive analysis for a wide spectrum of problems in cybersecurity. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help extract new insights and drive new initiatives to defend against cyber-attacks. You will be working with a large variety and huge volume of of data sets, advanced security and data technologies, and world-class operation teams to create awesome analyses for cyber security.The preferred location for this position is Baltimore, MD, but it can also be located in Herndon, VA or Arlington, VA (HQ2).
US, MD, Baltimore
Are you passionate about networking, Big Data, machine learning and cybersecurity? Are you ready for an exciting opportunity to work with some of the best data scientists and technologies and thrive in a super dynamic environment? Do you want to help secure millions of enterprises and organizations who are running their business in cloud at an unprecedented scale?How about making a difference in making the whole Internet more secure?Amazon Web Services (AWS) is looking for data scientists to joint its cyber-security analytics team.You will leverage cutting-edge data technologies to perform statistical inference, classification, clustering, and various predictive analysis for a wide spectrum of problems in cybersecurity. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help extract new insights and drive new initiatives to defend against cyber-attacks. You will be working with a large variety and huge volume of of data sets, advanced security and data technologies, and world-class operation teams to create awesome analyses for cyber security.The preferred location for this position is Baltimore, MD, but it can also be located in Herndon, VA or Arlington, VA (HQ2).
US, WA, Seattle
The Amazon Fashion catalog spans millions of items and variations ranging from high fashion to everyday wear. With a large, varied, and growing selection, we are looking for innovative ways to build a catalog that can drive product discovery, personalization, and a world-class customer experience.Downstream services such as recommendation engines, browse, and search experiences are dependent upon high quality and consistent catalog attributes. To optimize these inputs, we will need to manage massive quantities of data and find novel ways to apply statistics and machine learning to complex business problems.The Amazon Fashion team is looking for an experienced Applied Scientist to apply machine learning solutions to these business problems and connect customers to the products they love. You will be at the intersection of statistics, machine learning, data visualization, and business/product management. You will work closely with a multidisciplinary team to design solutions that impact millions of customers, sometimes from scratch, and apply models and algorithms in real-time systems at a very large scale.The ideal candidate is a specialist in the Natural Language Processing (NLP) domain and has a strong understanding of supervised, unsupervised and weak learning systems to quickly scale model training and inference. The candidate should be familiar with state-of-the-art techniques such as BERT and ELMo. Apart from the specialized domain, candidate should have sufficient understanding of deep learning techniques which includes applications for computer vision models. They should also be a general athlete in data with broad exposure to experimental design, modeling, working with large-scale unstructured data to uncover key insights. They should be able to ask the right questions, prioritize, and communicate/align across both technical and non-technical stakeholders. This candidate exemplifies bias for action, the desire to continuously invent and simplify, and most importantly, a genuine curiosity and passion for learning.Roles and Responsibilities:· Explore unstructured data and determine catalog improvement opportunities· Investigate the feasibility of machine learning or statistical techniques to business problems and products· Rapidly prototype with off-the-shelf machine learning models to establish baseline models· Collaborate with other scientists across teams to develop state-of-the-art performing algorithms and present technical findings to the larger science community through meetings/conferences/publications· Drive best practices, helping to set high scientific and engineering standards on the team.· Work with engineers to build requirements and productionalize models and pipelines· Communicate requirements in a way that is consumable by engineers and business stakeholders
US, WA, Seattle
The Amazon Fashion catalog spans millions of items and variations ranging from high fashion to everyday wear. With a large, varied, and growing selection, we are looking for innovative ways to build a catalog that can drive product discovery, personalization, and a world-class customer experience.Downstream services such as recommendation engines, browse, and search experiences are dependent upon high quality and consistent catalog attributes. To optimize these inputs, we will need to manage massive quantities of data and find novel ways to apply statistics and machine learning to complex business problems.The Amazon Fashion team is looking for an experienced Applied Scientist to apply machine learning solutions to these business problems and connect customers to the products they love. You will be at the intersection of statistics, machine learning, data visualization, and business/product management. You will work closely with a multidisciplinary team to design solutions that impact millions of customers, sometimes from scratch, and apply models and algorithms in real-time systems at a very large scale.The ideal candidate is a specialist in the Computer Vision (CV) domain and has a strong understanding of supervised, unsupervised and weak learning systems to quickly scale model training and inference. The candidate should be familiar with state-of-the-art techniques such as ResNet. Apart from the specialized domain, candidate should have sufficient understanding of deep learning techniques which includes applications for NLP models. They should also be a general athlete in data with broad exposure to experimental design, modeling, working with large-scale unstructured data to uncover key insights. They should be able to ask the right questions, prioritize, and communicate/align across both technical and non-technical stakeholders. This candidate exemplifies bias for action, the desire to continuously invent and simplify, and most importantly, a genuine curiosity and passion for learning.Roles and Responsibilities:· Explore unstructured data and determine catalog improvement opportunities· Investigate the feasibility of ML or statistical techniques to business problems and products· Rapidly prototype with off-the-shelf machine learning models to establish baseline models· Collaborate with other scientists across teams to develop state-of-the-art performing algorithms and present technical findings to the larger science community through meetings/conferences/publications· Drive best practices, helping to set high scientific and engineering standards on the team.· Work with engineers to build requirements and productionalize models and pipelines· Communicate requirements in a way that is consumable by engineers and business stakeholders
US, VA, Arlington
Are you passionate about networking, Big Data, machine learning and cybersecurity? Are you ready for an exciting opportunity to work with some of the best data scientists and technologies and thrive in a super dynamic environment? Do you want to help secure millions of enterprises and organizations who are running their business in cloud at an unprecedented scale?How about making a difference in making the whole Internet more secure?Amazon Web Services (AWS) is looking for data scientists to joint its cyber-security analytics team.You will leverage cutting-edge data technologies to perform statistical inference, classification, clustering, and various predictive analysis for a wide spectrum of problems in cybersecurity. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help extract new insights and drive new initiatives to defend against cyber-attacks. You will be working with a large variety and huge volume of of data sets, advanced security and data technologies, and world-class operation teams to create awesome analyses for cyber security.The preferred location for this position is Baltimore, MD, but it can also be located in Herndon, VA or Arlington, VA (HQ2).
US, MD, Baltimore
Are you passionate about networking, Big Data, machine learning and cybersecurity? Are you ready for an exciting opportunity to work with some of the best data scientists and technologies and thrive in a super dynamic environment? Do you want to help secure millions of enterprises and organizations who are running their business in cloud at an unprecedented scale?How about making a difference in making the whole Internet more secure?Amazon Web Services (AWS) is looking for data scientists to joint its cyber-security analytics team.You will leverage cutting-edge data technologies to perform statistical inference, classification, clustering, and various predictive analysis for a wide spectrum of problems in cybersecurity. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help extract new insights and drive new initiatives to defend against cyber-attacks. You will be working with a large variety and huge volume of of data sets, advanced security and data technologies, and world-class operation teams to create awesome analyses for cyber security.The preferred location for this position is Baltimore, MD, but it can also be located in Herndon, VA or Arlington, VA (HQ2).
US, TN, Nashville
Operations Technology ITWe develop and deliver technology that supports Amazon Operations at worldwide scope and scale that is unparalleled. We are forming a new team focused on providing advanced image solutions that leverage both automated and semi-automated Computer Vision (CV) and Machine Learning (ML) processing techniques to provide enhanced safety, productivity, and quality controls throughout Amazon’s global operation sites. We will be automating image capture and analysis, large data set handling, using convolutional neural networks (CNNs) for classification and segmentation of images, spatial recognition of objects/distance/velocity relationships, real time and near-term operational feedback loops and large-scale process automation. See Amazon’s recently open sourced Distance Assistant as a good example of our work.What You’ll DoAs a highly-skilled Data Scientist II, you’ll bring your passion for quantitative data science discipline and intellectual energy to the team to help unlock valuable information found in image data and challenge the status quo and raise the bar on every service and feature we build. You’ll apply statistics, time series analysis, stochastic modeling and machine learning to solve for critical associate wellbeing assurance, process anomaly detection and defect avoidance use cases across Amazon’s worldwide network of operational facilities, utilizing streaming and static data captured through computer vision devices linked around the globe. You’ll collaborate with cross-functional team members from multiple disciplines, including software development engineers, machine learning engineers, system development engineers, business intelligence engineers, applied scientists and operations specialists to create new data-driven solutions to challenging and meaningful problems at enormous scale.
US, WA, Seattle
Amazon is investing heavily in building a world-class advertising business to define and deliver a collection of ad products that drive long-term customer value. Our team, Sponsored Brands (SB), owns a mid-funnel ad product dedicated for brand owners. We empower brands of all shapes and sizes to attract shoppers in the research and consideration phases of their shopping journey, through visually stunning, inspiring and relevant sponsored shopping experiences. In doing so, we deliver billions of ad impressions and millions of clicks daily, but are only just getting started.Job Responsibilities:· Design, develop, and deploy machine learning solutions, and communicating science insights, and executing strategic projects.· Work with business partners to design, implement and launch machine learning solutions. Innovate machine learning models and NLP techniques to connect shoppers with brand ads via shopper intent understanding as well as brand ads interpreting.· Ownership over end-to-end machine learning solutions.Impact and Career Growth:· Through precise estimation of shoppers’ interaction with brand ads and their long-term value, you will drive optimal ads retrieval and ranking, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers.· Opportunity to grow and broaden your machine learning skills a make impact – the work you deliver directly impacts customers and revenue!· Work in an environment that thrives on creativity, experimentation, and product innovation.· Have the ability to experiment autonomously with meaningful projects.· Mentor others Applied Scientists.Why you love this opportunity:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
US, NY, New York
Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create truly innovative products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We are seeking a Senior Data Scientist to join the Sponsored Products Auction team. This team is responsible for building and evaluating mechanisms to rank and price billions of ad impressions per day. We're looking for a Data Scientist to define measures of auction efficiency and produce insights into the quality of inputs to our auction (supply, demand, ML model predictions). This role will also be responsible for more exploratory data analysis to identify opportunities for improvement of the system, working closely with Economists, Applied Scientists and Engineers to improve our product.In this role, you will:· Perform hands-on data analysis and modeling with very large data sets to develop insights into different aspects of our business (monetization, shopper experience, advertiser experience, marketplace dynamics)· Define and build tools and processes to monitor these metrics (weekly business reviews, dashboards, automated alarming)· Use data to identify opportunities to improve our systems.· Work with scientists and economists to model complex interactions in our systems· Lead and mentor junior data scientists, with an opportunity to grow into a team leader· Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences
US, CA, Cupertino
Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use.Technical Responsibilities:- Interact with various teams to develop an understanding of their security and safety requirements.- Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.- Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.- Perform analysis of the customer systems using tools developed in-house or externally provided- Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.Leadership Responsibilities:- Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.- Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.- Mentors and trains the research scientist community on complex technical issues.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
US, WA, Seattle
We are a passionate team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access for our employee pilot program.As a Research Scientist in Amazon Care, you will be designing and implementing ML-based solutions to business problems that we have defined to achieve our goals in 2020 and beyond.In this position, we are looking for a scientist with a background in Natural Language Understanding, and familiarity with Automatic Speech Recognition. Specifically, you will develop domain-specific models that leverage machine-generated transcripts to extract structured information around which automation can be developed. The ideal candidate understands tradeoffs between rule-based and ML-based approaches, and delivers results using a 'crawl, walk, run' approach. Beyond model development, you will partner with engineering, contributing to the architecture and ensuring that models and other artifacts can be deployed to production.Core responsibilities:· Development of models for understanding natural language in a healthcare context.· Outlining the overall approach for research, development and integration, including incremental milestones.· Specification of key metrics that we use to measure success, and to track improvements over time.· Partnering with engineering to ensure that production integrations are reflective of the training environment.· Providing input to the overall architectural vision for software systems.· Partnering with other science teams throughout Amazon.
US, NY, New York
The Amazon Topology team determines how many, what kind, and where to place new buildings for Amazon's supply chain. These facilities range from million-square-foot Fulfillment Centers with thousands of robots down to inner-city Prime Now facilities serving orders to be fulfilled within an hour. Each year we spend billions on these facilities and expect high-impact results from the network built upon them. If you are interested in diving into a multi-discipline, high impact space this team is for you.In addition to build decisions, we also use forecasting techniques for long term estimates, optimization, probability in decision making, machine learning to approximate the network, and simulation of how our choices will perform. The team is a mixture of Software Engineers, Operations Research Scientists, Applied Scientists, Business Intelligence Engineers and Product Managers.We are looking for an Applied Scientist who has a deep knowledge of either forecasting or optimization. Those who are strong in forecasting space should have a breadth of other ML experience in a production environment using techniques such as classic time-series ARIMA, Regression, and/or LSTM (long-short term Memory) neural network. This role will focus on improving our forecasts and build recommendations for Amazon's specialty networks.To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
US, NY, New York
Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.Our team's mandate is to accelerate advertising in the Books category as it requires a differentiated customer and advertiser experience. We own end-to-end the advertising experience including placements, ad relevance, creative, ad serving, advertiser experience, and marketing. We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. We are investing in a deep science and technical team to pursue a transformation opportunity.About this role:We are seeking a talented, energetic, entrepreneurial, and self-driven Senior Data Scientist to join our team. Our team works on complex science, engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. Leveraging Amazon's massive data repository, our data scientists develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.In this role, you will:· Solve new and challenging problems using statistical, Machine Learning, or optimization approaches to create measurable customer facing impact.· Translate prototype models to production quality, scaling to millions of customers and across different languages.· Design experiments leveraging your models to measure effectiveness.· Work closely with product, business and engineering teams to execute on your project plans.· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
US, CA, Palo Alto
Amazon Performance Advertising sits at the intersection of e-commerce and advertising, developing new native advertising experiences that are a critical area of strategic focus for the company. Amazon Sponsored Brands is an always-on advertising product that amplifies brand content to shoppers researching on Amazon through prominent cost-per-click ads. As we move up the purchase funnel, and create more touch points for shoppers, Sponsored Brands plays a key role in the discoverability and reach of brand content. Amazon Sponsor Brands is looking for a scientist to lead innovation for our global advertising marketplace. At the heart of our advertising business are systems for optimizing the ad marketplace involving auctions, experimentation infrastructure, AI methods for inference and control, as well as metrics-driven closed loop optimizations.Job Responsibilities:· Design, develop, and productionize end-to-end machine learning solutions.· · Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production· · Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management· · Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving· · Provide technical leadership, research new machine learning approaches to drive continued scientific innovation· · Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences· · Help attract, lead, and mentor technical talent.Impact and Career Growth:You will invent new shopper and advertiser experiences, and accelerate the pace of Machine Learning and Optimization.Influence customer facing shopping experiences to helping suppliers grow their retail business and the auction dynamics that leverage native advertising, this role will be powering the engine of one the fastest growing businesses at Amazon.Define a long-term science vision for our ad marketplace, driven fundamentally from the needs of our customers, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding. In the immediate term, this role requires (a) addressing principles of allocation function and pricing in ad marketplace auctions, (b) developing efficient algorithms for multi-objective optimization and AI control methods to find operating points for the ad marketplace auctions and to evolve them, and (c) develop science talent around machine learning, Economics and optimization for WW Advertising.Why you love this opportunity:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
US, WA, Seattle
The Amazon Devices-Demand Planning team is seeking an outstanding scientist with strong analytical and communication skills to help with demand forecasting and supply optimization for the entire Amazon device family of products and accessories. We develop scalable and robust state-of-the-art solutions that involve learning from different data sources. This role is central to the continued growth of Amazon Device division as we have grown from the first Kindle E-Reader to a vast portfolio of Echo, Fire TV, Fire Tablet, E-Reader, Ring and many other devices. With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.In this role, you will have an opportunity to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment. You will collaborate closely with engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices.You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, and analyzing predictive models.Key responsibilities:· Research and develop new methodologies for demand forecasting.· Improve upon existing methodologies by adding new data sources and implementing model enhancements.· Drive scalable solutions.· Create and track accuracy and performance metrics (both technical and business metrics).· Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
US, CA, Sunnyvale
Alexa Video group is responsible for voice enabling several video experiences on popular devices like Fire TV, Echo Show, Roku, Xbox etc. We are building a voice first video search and recommendation system which can help users find the engaging video content from a vast catalog of videos from Prime Video, Netflix, Hulu, Disney+, ESPN, CNBC etc.In this role, you will build cutting-edge large-scale machine learning models to improve quality of video content served to Alexa customers be it the home screen or search results page on several Alexa powered devices. These models will apply state of the art online learning techniques and will be trained on a variety of speech, text, visual, customer implicit and explicit preferences and video content features and will improve both recall and precision of our video search and recommendation results. These models will scale to multiple languages and countries and will provide inference within a few milliseconds’ latency. You will focus on unearthing customer problems and coming up with novel ways to solve these. You will propose hypotheses, validate these offline and run A/B tests to validate them online. As part of these activities, you will develop models that serves millions of video requests.You will work with larger Amazon science community and contribute towards advancing the state of art on voice search via research papers, publications and patents.Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN).