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Murali Brahmadesam


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US, WA, Seattle
Amazon is looking for a creative Senior Research Scientist to tackle some of the most interesting problems on the leading edge of natural language processing (NLP), machine learning (ML), search and related areas with our Alexa AI team. Alexa AI aims to reinvent search and information retrieval for a voice-forward, multi-modal future. It enables customers to interact with unstructured and semi-structured content via a broad range of technologies including question answering, summarization, search, and multi-turn dialogues.If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you. You will develop and implement novel scalable algorithms and modeling techniques to advance the state-of-the-art in technology areas at the intersection of ML, NLP, search, and deep learning. You will innovate, help move the needle for research in these exciting areas and build cutting-edge technologies that enable delightful experiences for hundreds of millions of people.In this role you will:· Work collaboratively with other scientists and developers to design and implement scalable models for accessing and presenting information;· · Drive scalable solutions from the business to prototyping, production testing and through engineering directly to production;· · Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide junior members to achieve their career growth potential.
US, AZ, Tempe
Amazon.com’s Customer Trust and Partner Support (CTPS) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. CTPS safeguards every financial transaction across all Amazon sites. As such, CTPS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.A day in the lifeAs a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you are an effective communicator capable of influencing and driving major decisions through data-driven insights. This is a high impact role with goals that directly impacts the bottom line of the business.About the hiring groupCTPS organization is looking for a Data Scientist for its Forecasting and Planning Research team. The team is being grown to provide insights about its CTPS planning and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of CTPS operations.Job responsibilitiesUse time series/ML forecasting techniques to forecast CTPS investigations for improved long term and short term capacity planning.Employ the appropriate algorithms to discover patterns of risks, abuse and help reduce bad debtDesign experiments, test hypotheses, and build actionable models to optimize CTPS operationsSolve analytical problems, and effectively communicate methodologies and resultsBuild predict models to forecast risks for product launches and operations and help predict workflow and capacity requirements for CTPS operationsDraw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomaliesWork closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus areaAmazon 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
Where will AWS’s growth come from in the next year? What about over the next five? What are the drivers and factors of such growth? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at AWS today.A day in the lifeThe central AWS econ team is dedicated to answering these questions using quantitative and statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and deploy automated software solutions to provide forecasting insights to business leaders at the most senior levels throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions.About the hiring groupThe central AWS Econ team leads the way in developing innovative models, algorithms and strategies that will help us gain insights into how our business will grow and what will the drivers of such growth. These predictive models and insights will be based along products and product categories, customer segments, regions and locations, etc.Job responsibilitiesThis Research Scientist role will explore and develop innovative quantitative approaches and models, generate features, test hypotheses, design experiments, build predictive models, and work with very large complex data sets in order to make predictions and forecasts. These forecasts and insights will provide a foundation of the highest level of visibility and importance for financial and operational planning. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams, working together with Economists, Data Scientists, Software Engineers, Product Managers, and Business Analysts.Key Responsibilities:· Research, develop and build predictive models and forecasting systems· Analyze and research features and engineer features that help support predictive models and forecasting systems· Provide insights by analyzing historical data· Create experiments and prototype implementations of new learning algorithms and prediction techniques.· Collaborate with engineering teams to design and implement software solutions for science problems.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.
GB, Cambridge
Do you want to work as part of a team developing architectures and algorithms for Amazon Quantum Computing Centre?Quantum Computing is rapidly emerging from the realms of science-fiction, and our customers can the see the potential it has to address their challenges. One of our missions at AWS is to give customers access to the most innovative technology available and help them continuously reinvent their business. Quantum Computing is a technology that holds promise to be transformational in many industries, and we are adding quantum computing resources to the toolkits of every researcher and developer.Amazon Quantum Computing is growing and looking for Research Scientists to join an exceptional team of researchers and engineers. As a Research Scientist on the quantum algorithms team, you will:· Develop architectures, algorithms and applications for quantum computing, including resource estimation for practical problems· Play a key role in shaping the development roadmap of the service, and evangelizing new features and capabilities· Have the opportunity to create narrative papers, write blogs, build demos and generate other reusable collateral that can be used by our customers· Establish thought leadership of AWS in the field by publishing research in journals and speaking at international scientific conferences· Most importantly, work closely with our quantum computing hardware teams, as well as industry and academic partnersThis role is based in the AWS Cambridge office but will involve collaboration internationally across the entire Amazon Quantum Computing organization.Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. 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; someone who will help us amplify the positive & inclusive team culture we’ve been building.
US, WA, Seattle
Have you ever ordered a product on Amazon and when that box with the smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it would have cost Amazon? If so, Amazon’s Supply Chain Optimization Technologies (SCOT) team is for you. We build systems to peer into the future and estimate the distribution of tens of millions of products every week to Amazon’s warehouses in the most cost-effective way. When customers place orders, our systems use real time, large scale optimization techniques to optimally choose where to ship from and how to consolidate multiple orders so that customers get their shipments on time or faster with the lowest possible transportation costs. This team is focused on saving hundreds of millions of dollars using cutting edge science, machine learning, and scalable distributed software on the Cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scotA day in the lifeAs a Sr. Data Scientist, you will solve real world problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, creating ML models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis.About the hiring groupFulfillment-by-Amazon (FBA) Inventory Technology (FIT) at Amazon’s Supply Chain Optimization Technologies (SCOT) focuses on driving long term free cash flow by automating and optimizing our third-party supply chain. The team’s efforts will address the key challenges facing the worldwide FBA Seller business, including 1) improving FBA Seller inventory efficiency, 2) efficiently balancing the supply and demand of FBA Seller capacity, 3) closing worldwide selection gap by enabling global selling profitability, and 4) driving out costs across the FBA supply chain to spin the flywheel. This is truly a unique problem space – optimizing for inventory in Amazon’s pipeline when you don’t control the process or own the inventory.Job responsibilities· Working with product managers, software engineers, data engineers, other data scientists, applied scientists to design, develop, and evaluate highly innovative statistics and ML models to drive FBA growth and efficiency through inventory optimization and the design of new policies and incentives.· Guide and establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Proactively seek to identify business opportunities and insights and provide solutions to automate and optimize key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.· Collaborating with our dedicated software team to create production implementations for large-scale data analysis and/or ML models.· Developing and owning key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our businessAmazon 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, NY, New York
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.Our Forecasting Products team builds end-to-end solutions for publishers, advertisers and Amazon DSP. This includes data pipelines, machine learning models, large scale data structures and indexes, advertiser recommendations (bids, products) and data visualizations. We match supply (human eyeballs) and demand (advertisers interests) in thousands of audience targeting dimensions, and recommend optimal prices.As a Senior Applied Scientist, you will:· Drive applied science (machine learning) projects end-to-end ~ from ideation, analysis, prototyping, development, metrics, and monitoring.· Conduct deep analyses on massive Ad user and contextual data sets· Propose viable modelling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results.· Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions.· Design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting.· Stay familiar with the field and apply state-of-the-art Machine Learning techniques to our domain problems, around forecasting, bidding, allocation, and optimization.· Produce peer-reviewed scientific paper in top journals and conferences.· Present results, reports, and data insights to both technical and business leadership.· Work across teams and lead a group of talented scientists and engineers to solve problems in the domains of forecasting, auction theory, bid optimization, and user clustering.Team video - Amazon Advertising: https://youtu.be/zD_6Lzw8raEWhy you love this opportunityAmazon is investing heavily in building a world-class advertising business. 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 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 shopper and advertiser 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.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
Do you get excited about working on scientific problems that will have a large, significant and lasting impact for Amazon customers? Are you interested in data compression and machine learning? Are you thrilled about working in a startup-like environment? Search no more! We have an opening for an Applied Scientist in Amazon S3.As an Applied Scientist, you will be driving prototypes, projects and solutions in the fields of data compression and information coding. Our work sits right at the intersection of research and engineering and we are delivering products with real world impact for AWS customers. Your ideas will have a fast path to production at scale and help us reshape the way we think about data storage and content delivery at Amazon.Research areas our team is excited about include but are not limited to:· General purpose and domain-specific data compression· Information coding and data redundancy· Performance-preserving inline compression methodsOur team works together to provide work/life balance for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we’re all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.Upon joining S3, every employee is paired with a peer buddy who will help you to quickly come up to speed in understanding the technology we’re building, the tools we use and the business problems we’re trying to solve. We hire exceptional people and we recognize the importance of coaching others. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, and job level. On our internal “Broadcast” video streaming website, you’ll find countless presentations by some of the brightest minds in computing discussing solutions to many of the exciting problems we’re solving in AWS today with new live-streaming videos added every week.We have a diverse team and drive towards an inclusive culture and work environment. Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Our team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network (BEN), Amazon Women in Engineering (AWE) and Glamazon (our LGBTQ+ community).US EEO: 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 US Disability Accommodations.
SG, Singapore
We are seeking a seasoned Senior Data Scientist to accelerate the growth of Amazon Prime through data analytics. Our vision is for Prime to be the Earth’s largest and most loved membership program. We look forward to partnering with you to advance our innovation on customers’ behalf.As a senior science thought leader, you will build ground-breaking, state-of-the-art causal inference models to guide multi-million-dollar investment decisions. You will architect and execute a research roadmap that connects science, business, and engineering and contributes to Amazon Prime’s long term success. As an independent contributor, you mentor and nurture junior scientists on the team to set them up for success.The ideal candidate will be an established expert in data science, especially in the area of causal inference. You are comfortable leading through ambiguity in a fast-paced and ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results.Primary Responsibilities:- Own a multi-year research roadmap that guides Prime’s investment decisions.- Work with Product, Finance, Economist, and Data Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches.- Innovate on how Prime can leverage data analytics to grow faster.- Contribute to building a strong data science community in Amazon Asia.
US, WA, Seattle
The Networking Science team is looking for an exceptional Applied Scientist who is passionate about leveraging big data solutions for devising the next generation of network monitoring systems. Our mission is to develop models and tools to measure performance of AWS network. We deliver actionable insights across the Networking organization through descriptive analysis, data science, data engineering and ML/anomaly detection techniques.The ideal candidate will share our excitement about the incredible opportunity cloud computing and Big Data analytics represent, and will be passionate about delivering high quality services. You will have good knowledge of distributed systems with design and implementation experience, as well as the ability to lead and mentor other engineers. Experience with databases, data warehousing, business intelligence, and machine learning are particularly valued, as is experience delivering large-scale big data services. You will be customer centric and enjoy working in a fast-paced environment that requires excellent technical and communication skills.Networking Science team is based in Dublin, Ireland and Seattle, WA. You will join a tenured team of Research Scientists, Data Engineers and Software development engineers to lead the future of network availability and performance.
US, MA, Boston
Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The Amazon ML Solutions Lab team helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. We are looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help develop solutions by pushing the envelope in Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).As a ML Solutions Lab Applied Scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data and develop novel models to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will apply classical ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.The primary responsibilities of this role are to:· Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries· Interact with customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them· Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithmsThis position requires travel of up to 25%.About UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
ES, B, Barcelona
Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers.As part of this team you will focus on ML methods and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services. Current research includes machine learning forecast, online reinforcement learning, and anomaly detection models, among others.We are looking for a Senior Machine Learning Scientist with a strong academic background, and expertise in either of the following:· Graph Neural Networks (GNNs), Temporal Graph Networks (TGNs), and/or Graph Deep Learning (GDL)· Probabilistic Machine LearningAt Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.
CA, BC, Vancouver
Would you like to work on one of the world's largest transactional distributed systems? How about working with customers and peers from the entire range of Amazon's business on cool new features? Whether you're passionate about building highly scalable and reliable systems or a scientist who likes to solve business problems, Amazon Tax Platform Services is the place for you.We are responsible for the tax calculation platform, providing the core services that calculate taxes (sales tax and VAT) for all Amazon sales, physical and digital, globally. We thrive on providing the correct tax amounts to the customer at order time, and make sure audit records are stored safely to meet tax law requirements around the globe. Our challenges include staying on top of the complex and ever-changing global tax rates and laws as well as computing calculations correctly and quickly, thousands of times a second, and each one needs to be right.As an Applied scientist, you will provide machine learning leadership to the team that helps increase the accuracy of Tax classification for overall Amazon catalogue making it the biggest and most challenging tax classification using Machine learning models globally. You will build various data and machine learning models that help us innovate different ways to enhance tax classification 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.
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 an Applied Scientist of the Alexa AI team, you will research and create models, and 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 support solving highly visible and impactful business problems in areas of new product development, automation, self-service solution and quality improvement, to continue 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 also create reliable, scalable and high performance products that require exceptional technical expertise, and a sound understanding of the fundamentals of Machine Learning.We value academic collaborations and encourage our scientists and engineers to publish in top conferences and do open source contribution.
US, WA, Bellevue
Interested in Amazon Alexa? We’re building the speech and language solutions behind the products and services such as the Amazon Echo and Dot. Come join us!We're looking for an Applied Science Manager who combines exceptional technical, research and analytical capabilities to lead a team that will be integral to the continued improvement of Amazon Alexa. As an Applied Science Manager, you will be responsible for data-driven improvements and evaluation for our spoken language understanding models. You will lead a team of scientists and data experts to build ML models for assessing Alexa’s success at Natural Understanding with accuracy, reliability, scalability to new languages & devices, low latency and limited dependence on manually annotated data. Your work will directly impact our customers in the form of products and services that make use of speech and language technology, particularly in developing predictive analytics models for users and continuously improving the Alexa experience for our customers.Responsibilities include:· Conducting and coordinating process development leading to improved and streamlined processes for model development.· · Ensuring data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.· · Providing technical and scientific guidance to your team members.· · Presenting proposals and results in a clear manner backed by data and coupled with actionable conclusions· · Communicating effectively with senior management as well as with colleagues from science, engineering and business backgrounds, in written and verbal forms· · Supporting the career development of your team members.· The successful candidate will have an established background in defining metrics, building ML models, a strong technical ability, demonstrated experience in people management, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment.Open to placement in Bellevue, WA or Seattle, WA
CA, BC, Vancouver
Are you excited about making multi-million dollar decisions more Science and Data Driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea inception to launch? Do you want to work on a Science Product team focused on scaling Statistics and Econometrics via internal to Amazon tools? Then this could be the role for you!Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Amazon Devices and Services team is the area of Amazon focused on inventing platforms that delight customers by eliminating friction they have in supplying, entertaining, and managing the home and beyond.The Device Economics team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support over 100 device-specific analyses a year on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug…all prior to launch.. We are a cross-functional Product team working to scale Econometrics through Amazon and beyond by incorporating Science into internal facing tools and making it easier for others to do so as well.In this role, you will support up to SVP*-level decision meetings around approving confidential funding requests (PRFAQs) for brand new devices and services, build decisions around how many hardware devices to manufacture prior to receiving any customer signal, and pricing decisions around how to price and promote products and services. You will leverage Science and Tools produced by the Device Economics team such as conjoint demand models to produce these recommendations. As part of the stakeholder-facing arm of the team, you will own relationships with decision makers to help improve the end-customer experience by making the decisions that impact those end-customers more data and Science-driven. In parallel, you will work with Scientists, Economists, Product Managers, and Software Developers to provide meaningful feedback about stakeholder problems to inform business solutions and increase the velocity, quality, and scope behind our recommendations. You will own projects to make progress on Decision Science itself. Through this all, we will invest in your development to pursue your career goals.*The SVP of Amazon Devices and Services is Dave Limp. He reports to Jeff Bezos.
US, WA, Seattle
Amazon Web Services’ Marketing Science team is looking for a Data Scientist with excellent technical skills in machine learning and forecasting to drive methodology improvements and tool inventions for marketing planning, goal tracking, targeting and segmentation, while developing our long term roadmap.The successful candidate will be a hands-on self-starter, comfortable with ambiguity, humble to seek feedback and learn from peers (scientists, economists, marketing practitioners), bold to think big, has solid attention to detail and believes in challenging themselves to raise the bar continuously. The scientist will develop production models using geographical, macro-economic and customer-level panel data on demand forecasting and account-based marketing. They will work closely with media and portfolio teams to understand business needs and with data engineering team to productionize solutions.This role requires an individual with excellent quantitative modeling skills and the ability to apply statistical, machine learning, econometric, and coding skills.The candidate should have excellent communication skills to work closely with stakeholders to translate business needs into methodology and data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with excellent attention to detail, and ability to work in a fast-paced and ever-changing environment.Location: Position may be located in Seattle, or near any Amazon/AWS U.S. Corp office only. Relocation offered from within the US only to these locations.Responsibilities:· · Simplify and drive automation of the forecasting process by building new tools and onboarding existing ones from Amazon Retail or AWS · Design and build scalable analytic solutions using forecasting and machine learning models to measure the financial impact of cross channel marketing spend · Design and implement forecasting and machine learning models in partnership with other scientists on the team · Work with the data acquisition team on data requirements · Work closely with both business units and engineering teams to formulate forecasting and targeting problems and associated technical solution strategies · Work with peer science and marketing teams in Amazon Retail to identify technical solutions that could be used or adopted in AWS Marketing forecasting and targeting framework · Develop a library of forecasting and machine learning algorithms to enable data-driven decision making · Support engineering teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at AWS · Raise the bar on applications of machine learning and deep learning for forecasting and targeting
US, CA, Sunnyvale
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo.What will you help us create?The Role:We are looking for a passionate, talented and inventive Senior Applied Scientist - Audio to join our team. As part of the larger technology team working on new consumer technology, your work will have a large impact to hardware, internal software developers, ecosystem, and ultimately the lives of Amazon customers. You must love high quality signal processing, enjoy adjusting codecs, optimizing audio frameworks, and have a feel for what a good consumer experience should sound like.In this role, you will:· Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products· Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test· Development of new audio and speech processing algorithms· Optimization and port to different platforms of audio and speech processing algorithms with focus in Voice Communication and Speech Recognition· Integrate vendor hardware and software stacks· Be able, and willing, to multi-task and learn new technologies quickly· Be responsive, flexible and able to succeed within an open collaborative peer environment
US, CA, Palo Alto
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As a Senior Applied Scientist on this team you will:· Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.· Lead technical efforts within this team and across other teams.· Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.· Run A/B experiments, gather data, and perform statistical analysis.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Work closely with software engineers to assist in productionizing your ML models.· Research new machine learning approaches.· Recruit Applied Scientists to the team and act as a mentor to other Scientists on the team.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
US, NY, New York
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 Retail and Marketplace 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!We are seeking an experienced Data Scientist who will build the experimentation framework and dive deep into complex data sets to identify actionable insights that will maximize the value of our programmatic supply. In this role you will be building an analysis infrastructure to reliably measure offline data and A/B test outcomes using tools and techniques of inferential statistics. You are an analysis expert and a data evangelist who leverages a variety of platforms and analytical tools to extract critical insights from massive data sets.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 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.
US, GA, Atlanta
Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.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. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped