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Shrikant Venkataramani


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US, WA, Seattle
Amazon is looking for a truly innovative and technically strong research scientist with a background in econometric analysis, statistical inference, and machine learning.As a Research Scientist, you will:· Apply your quantitative modeling skills to complex decision-making problems using noisy data coming from various data sources such as medical claims, electronic medical records, patient reported outcomes, customer satisfaction surveys, and system-generated timestamped data.· Work closely with stakeholders and translate data-driven findings into actionable insights.About You:· Problem Solver: Ability to utilize exceptional problem-solving skills to work through different challenges in ambiguous situations.· Doer: You’ve successfully delivered end-to-end analytical projects, working through conflicting viewpoints and data limitations.· Detail Oriented: You have an enviable level of attention to details, and catch things that others miss.· Communicator: Ability to communicate analytical results to senior leaders, and peers.· Influencer: Innovative scientist with the ability to identify opportunities in a fast-paced and ever-changing environment, and gain support with data and storytelling.Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. 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.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’re happy to offer a flexible schedule so you can have a more productive and well- balanced life—both in and outside of work.Our 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, Seattle
Do you want to join Alexa AI -- the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?If your answers to these questions are “yes”, then come join us with the Alexa Artificial Intelligence (AI) team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.As a Senior Applied Scientist, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..You will be expected to:· Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT).· Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints· Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios;· Perform model/data analysis and monitor user-experienced based metrics through online A/B testing;· Research and implement novel machine learning and deep learning algorithms and models.
CA, BC
At Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.A day in the lifeAt Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.About the hiring groupAt Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.Job responsibilitiesAmazon.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.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
US, CA, Irvine
Would you like to work on a greenfield project that'll help improve the shopping experience of millions of Amazon customers? We’re building a brand new team and you’ll get to drive significant portions of the technical roadmap by getting in early.As a member of the Reinforcement Learning team within Personalization, you will help create and innovate on the next generation of Recommendation and Personalization technologies on Amazon. Our team owns creating recommendation solutions that understand long-term customer shopping patterns and build on proven reinforcement learning techniques. Spanning Academia, research, and applied machine learning techniques operating at world-class scale, we focus on recommending the right product to the right customer at the right time. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon.In Personalization we use state-of-the-art machine learning techniques and A/B testing to run experiments on some of Amazon’s most prominent and valuable pages. We work on a diverse range of products, building real-time, low-latency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content. As a member of the team, you will work in a collaborative environment with a team of experienced engineers. You will have a unique opportunity to drive direct, measurable impact to our customers, powering features on multiple websites.About our team: Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.About you: You are a software engineer with an interest in machine learning, data science, search, or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You enjoy working hard, having fun, and making history!
US, CA, Irvine
Would you like to work on a greenfield project that'll help improve the shopping experience of millions of Amazon customers? We’re building a brand new team and you’ll get to drive significant portions of the technical roadmap by getting in early.As a member of the Reinforcement Learning team within Personalization, you will help create and innovate on the next generation of Recommendation and Personalization technologies on Amazon. Our team owns creating recommendation solutions that understand long-term customer shopping patterns and build on proven reinforcement learning techniques. Spanning Academia, research, and applied machine learning techniques operating at world-class scale, we focus on recommending the right product to the right customer at the right time. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon.About our org:In Personalization we use state-of-the-art machine learning techniques and A/B testing to run experiments on some of Amazon’s most prominent and valuable pages. We work on a diverse range of products, building real-time, low-latency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content. As a member of the team, you will work in a collaborative environment with a team of experienced engineers. You will have a unique opportunity to drive direct, measurable impact to our customers, powering features on multiple websites.About our team:Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.About you:You are a software engineer with an interest in machine learning, data science, search, or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You enjoy working hard, having fun, and making history!
US, MA, Cambridge
The AWS Rust team is looking for an Applied Scientist to reinvent the way we approach programming language design. We want to meet developers where they are by making the Rust programming language more expressive, more capable, and easier to use. You will be part of a world-class team of academics and engineers collaborating in the open with the Rust project and community to develop deep insights into how developer’s learn and use programming languages. You will work to design and implement usability testing and teaching techniques that enable data driven decisions about the developer experience for ecosystem challenges like the portability of async runtimes and for developer tool initiatives like TurboWish, the Rust performance profiler.The AWS Rust team is comprised of academic scholars and maintainers of the Rust language and compiler teams and Tokio stack, and we are working 100 percent in the open on the Rust project and ecosystem. We are a new model for a team. We prioritize the specific needs of engineers building cloud computing solutions. We lead the development of tools and mechanisms for building and operating services in the cloud, and we leverage our proximity to AWS services to gather insights that help us improve Rust.AWS engineers are choosing Rust for its unique combination of fast, consistent performance, and memory and concurrency safety. The AWS Rust team helps Rust deliver on its promise. We focus on the developer experience, optimizations, and tools for the features our AWS engineers will use to build and operate services that take full advantage of the Rust promises of performance and safety.As an applied scientist on the AWS Rust team, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of features from beginning to end. You will:· Research usability testing techniques for programming language design· Research teaching techniques for programming languages· Design and implement experiments that test the usability of programming language features· Incorporate the insights from these experiments into engineering design proposals· Incorporate the insights from these experiments into teaching tools and documentation for Rust· Collaborate in the open with the Rust project and community· Develop frameworks to scale the techniques and experiments you develop for broader applicationThis role can be based in Boston, NYC, Seattle, Bay Area, and other major cities.Mentorship & Career GrowthWe have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and DiversityOur team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. 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, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.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.Interested in joining this role or team? Reach out to Z Ali (zunedali@amazon.com) with questions.
CA, ON, Toronto
Amazon Sponsored Ads is one of the fastest growing business domains and we are looking for talented scientists to join this team of incredible scientists to contribute to this growth. We are still in Day 1 and there is an abundance of opportunities that are yet to be explored. We are a team of highly motivated and collaborative team of machine learning and data scientists, with an entrepreneurial spirit and bias for action. We have a broad mandate to experiment and innovate, and we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Sponsored Products (SP) Bids and Budgets team is focussed on helping advertisers set their campaign bids and budgets in an optimized fashion. The team owns optimization and recommendation systems that provide advertisers with controls as well as guidance to set optimal budgets. These services are powered by backend machine learning algorithms that interact and build upon a wide range of components such as CTR prediction, dynamic pricing, ranking, ad relevance, ad quality, query understanding, recommendation systems, and much more. Our technology enables thousands of brands, vendors, sellers and authors to drive discovery and sales of their products across millions of customers.We are looking for an Data Scientist to build the next generation of optimization and recommendation services for advertisers. You will be expected to demonstrate strong ownership, and should be curious to learn and leverage multi-modal data (textual, image, etc.) to help advertisers optimize their performance. This role specifically will focus on building data science systems for bids and budgets. This role will challenge you to utilize cutting edge machine learning techniques in the domain of multi armed bandits, reinforcement learning, natural language processing (NLP), deep learning, and image recognition to deliver significant impact for the business. The ideal candidates should be able to work cross functionally across multiple stakeholders, synthesize the science needs of our advertisers, develop models to solve business needs, and implement solutions in production. Hence, we would expect them to be independent, have a natural bias to action, strong communication skills, and be agile to make continuous incremental progress on a project without losing focus of the end goal.As a Data Scientist on this team you will:· Solve real world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Applied Scientists, Engineers, BIE's, and Product Managers.· Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.· Deliver with independence on challenging large scale problems with ambiguity.· Manage and drive the technical and analytical aspects of Advertiser segmentation; continually advance approach and methods.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Apply statistical or machine learning knowledge to specific business problems and data.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Build decision-making models and propose solution for the business problem you defined· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.· Utilize code (python or another object oriented language) for data analyzing and modeling algorithms.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
US, CA, San Francisco
About Us:Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog.About the Role:The Community team is looking for an experienced research science intern to help build and define the future for products that enable streamers to build engaged, healthy communities on Twitch. As part of our team you’ll move quickly to ship community health features that have high visibility, impact, and potential to delight our users. You’ll contribute directly to the design and evaluation of user-facing data-powered products that support the health and safety of communities on Twitch, shaping the experience for millions of viewers as they participate in billions of interactions.Our team seeks an outstanding student engaged in an active program of academic research, with a track record of publishing high-quality work on topics related to online communities, content moderation, and community governance. We prize creative problem-solvers with the ability to generate and test hypotheses quickly in order to build our understanding of how to create product experiences that Twitch viewers will love.You’ll find a Requirements section below. If you meet all of these then we encourage you to apply. If you meet most of them but think this role sounds like something you’d be great at, we encourage you to apply. We are passionate about building the future of community-driven entertainment, and we’re eager to find a research science intern who wants to play an active role in shaping the products that makes this vision a reality.You Will:· Drive knowledge of how to delight Twitch viewers through ownership of research projects, from data collection to model development, estimation, and validation.· Work with a diverse product team of technical and non-technical stakeholders to identify and answer research questions at the right level of detail· Collaborate with analysts, scientists, and engineers to develop reliable and reproducible analyses at scale· Deliver well-documented datasets, tools, and reports to key technical and business stakeholders
GB, Cambridge
Alexa is the ground-breaking voice service that powers Echo and other devices designed around your voice. Our team is giving Alexa her voice. Come join us, where you will not only participate in cutting-edge research, but will also have the opportunity to impact the customer experience of a cutting-edge product used every day by people you know.A day in the lifeAs an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to advance the state of the art in speech synthesis.About the hiring groupWe are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers.Job responsibilities· Participate in the design, development, evaluation, deployment and updating of data-driven models for text-to-speech applications.· Participate in research activities including the application and evaluation of text-to-speech techniques for novel applications.
US, MA, North Reading
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.We are looking for experienced world-class scientists and engineers to explore new ideas, invent new approaches, and develop new solutions.If you have expertise in Computer Vision, with extensive industry experience and have:· the ability to think big and conceive of new ideas and novel solutions;· the insight to correctly identify those worth exploring;· the hands-on skills to quickly develop proofs-of-concept;· the rigor to conduct careful experimental evaluations;· the discipline to fast-fail when data refutes theory;· and the fortitude to continue exploring until your solution is foundcome join us to invent the future and change the world.
US, WA, Bellevue
Are you looking for a challenge? Imagine being part of a team that owns one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on Amazon.com worldwide. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day.Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery, and minimize package frustration. The Supply Chain Optimization Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. Within SCOT, the SimEx (Simulation and Experimentation) team is responsible for designing and executing the simulations and experiments that measure the impact of SCOT initiatives, as well as predicting inventory flows for labor planning.We are looking for data scientists to drive innovation in SCOT by pushing SimEx systems further upstream in the innovation process, developing new techniques and analytics for both experimentation and prediction use cases, and applying existing models to our problem space and beyond. As an Amazon Data Scientist, your work will impact on how we serve our customers so that they get the right product at the right time. In our team, you will be working in one of the world's largest data warehouse environments. You need to be a sophisticated user of data querying tools and advanced quantitative and modeling techniques, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication to drive change, as your work will be visible up to the highest business leaders in SCOT. You will perform deep dives across various system inputs/outputs and connect to key performance indicators through observational and simulation data, and detect anomalies to identify problems in our systems. Much of the job will require close collaboration with software development engineers, other scientists, and business teams to innovate for and solve problems of the future.
US, CA, Culver City
Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the leading streaming services today, and we're just getting started. We need your passion, innovative ideas, and creativity to help take the service to new heights.The Amazon Studios team is chartered to produce original content and license studio programs worldwide in service of Amazon’s Prime Video customers. The team is responsible for bringing popular TV and movies to their customers and introducing distinctive, award-winning originals like The Marvelous Mrs. Maisel and ground-breaking, popular shows like The Man in the High Castle, Jack Ryan, and The Boys.We are looking for a customer-focused, business-oriented Research Scientist to join our Amazon Studios Science team, which focuses on building analytical tools to optimally deploy content investment based on projected value, fit with customer needs, content traits with disproportionate impact, and risk-return tradeoffs. Tools typically take the form of prediction models, simulation models, and valuation models which forecast the performance and economic impact of title-level and portfolio-level decisions. Models are scaled globally and made accessible to business users through front-end dashboards and apps.You will use statistical analysis, predictive modeling, and data analytics to discover the kinds of differentiated and irreplaceable shows people value most, what they want more of, and how to fit a diverse portfolio of titles together to deliver a clear, compelling proposition that is greater than the sum of its parts. The analysis you conduct and algorithms you create will help drive and define the future of television for millions of customers globally.About the teamWe are a team of scientists, software engineers, and product managers that builds analytical tools in support of programming & scheduling, portfolio optimization, show development, and greenlighting decisions for Amazon Studios. Projects are prioritized based on potential financial impact, taking into consideration the magnitude and scale of decisions as well as headroom to improve decision making through analytics. At the same time, we recognize making great content is a creative process, and our solutions are designed to inform and accelerate versus supersede creative decision making.
US, CA, Sunnyvale
Amazon is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.As an Applied Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. You will mentor junior scientists, create and drive new initiatives.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.
US, WA, Bellevue
Come join the Alexa team, building the speech and language solutions behind Amazon Echo and other Amazon products and services! You will help us invent the future.As a Data Scientist of the Alexa AI Team, you will research and create models, improve models for natural language processing and speech recognition problems.You will gain hands-on experience with Amazon’s heterogeneous structured data sources; as well as large-scale computing resources to accelerate advances in training deep neural networks for natural language understanding and automatic speech recognition on thousands of hours of speech. You will be supporting the solutions of highly visible and impactful business problems in the areas of new product development, automation, self-service solution and quality improvement, to continue to delight Alexa customers and help driving Amazon business performance.The ideal candidate should be passionate about delivering experiences that delight customers and creating solutions that are robust. They will be creating reliable, scalable and high performance products that require exceptional technical expertise, and a sound understanding of the fundamentals of Machine Learning.An ideal candidate should also:· Have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes.· Be expected to balance detailed execution with speed and possess solid collaborative skills.· Have an ability to work in a fast-paced environment where every day brings new challenges and new opportunities.· Have excellent business and communication skills and be able to work with business owners to develop and define solutions.This position involves regular communication with senior management on project status and risks. Cross-team coordination, project management, and executive presentation skills are essential.
US, MA, Cambridge
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCTitle: Applied ScientistWorksite: Cambridge, MAPosition Responsibilities:Research, plan, and build industry-leading speech and language technology. Work to innovate Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing technologies to improve customer experience. Develop novel algorithms and modeling techniques. Leverage Amazons heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, NY, New York
Our team produces the long term forecasts for Amazon that support numerous strategic and tactical decisions and systems within Amazon. We are looking for a new Applied Scientist that can help us build the next generation of forecast systems in Topline. As a Senior Applied Scientist, you are an expert in Machine Learning, Deep Learning or High Frequency forecasting who is enthusiastic working with large time-series datasets. You will help us create our next generation line of Topline long horizon forecast engines. You have experience with Deep Learning, but also know time series. You are enthusiastic about modeling but also at investigating strong signals and their interactions.A day in the lifeYou will:1. Explore data: sift through large sets of data to investigate features and signals that might be good predictors2. Build Forecasting and Predictive Models: explore forecasting and predictive methods to help us model and forecast Topline demand3. Improve our overall strategy: you think strategically and see the big-modeling-picture and have a good intuition of which modeling components to build in order to have the largest impact4. You are an excellent coder who writes and organizes code with robustness and keeping an eye for the future5. You are a builder and are passionate about creating our next generation modeling stack.6. You are customer obsessed and work backwards from customer needs.About the hiring groupWe are a team of Data Scientists, Economists, Research and Applied Scientists with expertise in Econometrics, Time Series, Machine Learning and Data Science.Job responsibilities1. Drive model development: explore long horizon forecasting strategies2. Explore data: implement robust feature and signal extraction models and seek signals that support our models and/or insights3. Analyze performance: run backtests and analyze the relative performance of your models4. Write robust scalable code that will be the foundation of our Topline forecasts5. Articulate and deliver insights to the teamAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Seattle
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.We are looking for an enthusiastic, customer obsessed, Operations Research Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools.The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.Strong candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes.This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.Responsibilities may include:· Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations· Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans· Managing multiple projects simultaneously· Working with technology teams and product managers to develop new tools and systems to support the growth of the business· Communicating with and supporting various internal stakeholders and external audiences
US, WA, Bellevue
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing Customers with the opportunity to find and discover virtually anything they want to buy and providing millions of Sellers with a platform for growing successful businesses. Thousands of Amazon Sellers ship their orders directly from their own warehouse and we are building software to help them offer their items through programs like Seller Fulfilled Prime, Fulfillment by Amazon Onsite, Merchant Fulfilled Same Day Delivery, and Premium. We innovate and design our services and tools with a focus on customer and seller experience, followed by our focus on technology and worldwide scaling.The Seller Fulfillment Services team is looking for an Applied Scientist to be based in Bellevue area. As a key member of SFS, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance the customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.An ideal candidate will be an expert in the areas of machine learning and statistics who will have expertise in applying theoretical models in an applied environment. The candidate will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models including transfer learning. Challenges will involve dealing with very large data sets and requirements on throughput.Responsibilities include:· Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems· Use machine learning best practices to ensure a high standard of quality for all of the team deliverablesAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
US, WA, Seattle
How to use the world’s richest collection of e-commerce data to improve payments experience for our customers? Amazon Consumer Payments Global Data Science team seeks a Sr. Data Scientist for building analytical solutions that will address increasingly complex business questions in the North America Credit space.Amazon.com has a culture of data-driven decision-making and demands insights that are timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.As a Sr. Data Scientist in this team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the North America Credit business team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.Responsibilities· Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard regression and classification techniques such as Random Forest, XGBoost package, Keras framework· Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management· Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area· Innovate by adapting new modeling techniques and procedures· You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets· You should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive· You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems· You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.· You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions· Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers
US, VA, Arlington
Come and build innovative services that protect our cloud from security threats. As an AWS Security Data Scientist, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with security engineers, software development engineers, and other data scientists across multiple teams to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!Mentorship & Career GrowthOur team is dedicated to supporting new team members. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, junior data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.We care about your career growth. We create opportunities for you to continuously develop into a more well-rounded leader and builder, enabling greater customer impact and influence over time.Inclusive and Diverse CultureOur team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a cool service, but we also believe a big reason for that is the inclusive and welcoming culture we cultivate every day.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we’ve been building.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team values work life balance. We are passionate about the capabilities we build, and we are responsible for our on-call rotation to ensure our services bring value to our customers. We understand that life is challenging and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs.