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Careers

Advance the state of the art in customer-obsessed science.
Janet Slifka, Director, Research Science, Alexa AI
I joined the Alexa team in 2012, and every year has brought fresh challenges and opportunities to reach new customers, and partner with new teams across the globe.
Janet Slifka, Director, Research Science, Alexa AI

Current career opportunities in science

1,015 results found
  • US, CA, Palo Alto
    Job ID: 1040378
    (Updated about 12 hours ago)
    Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers.We are seeking a talented, entrepreneurial, and self-driven leader to take charge of allocating and pricing Sponsored Product ads in product pages through real-time auction. You'll be pioneering within a multi-dimensional optimization space which requires us to balance the interests of advertisers, shoppers, and Amazon. You’ll drive the engineering and science strategies within Sponsored Products organization, while also owning a broad mandate to influence various teams spread across Amazon retail business. You will be responsible for hiring and developing the individuals within your team and fostering a transparent, collaborative development environment.Responsibilities:· Own technical vision and direction for our product pages ad auctions and accompanying ML-based optimization systems.· Dive deep into performance and operational data and work closely with product, business and engineering teams to develop a compelling vision and roadmap.· Present technical plans to senior executives and key stakeholders and evangelize that technical vision within Amazon.· Hire, develop and retain top tier technical talent.· Drive efficient execution of new initiatives, including collaboration with advertising and partner teams.· Manage engineering and science teams responsible for critical high-availability infrastructure delivering ads across Amazon's sites and devices worldwide.
  • CA, ON, Toronto
    Job ID: 1040110
    (Updated about 16 hours ago)
    We are pleased to announce an exclusive invitation only hiring event in Tel-Aviv, Israel in February 2020 to find talented Sr. Software Development Engineers to join the Amazon Advertising teams in Toronto!Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning and NLP research scientists to come up with novel solutions that retrieves highly relevant ads. We consistently strive to improve the customer search and detail page experiences. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon vision.If you have the passion to build heuristics as well as machine learned models based on large-scale datasets, then the Amazon Sponsored Products Relevance team is a great place to be. The ideal candidate would have worked on distributed systems such as building data-driven systems or infrastructure that handle requests at large-scale or both. Experience with Machine Learning will be a bonus. Overtime, we do expect you to learn about Machine Learning and how feature engineering is done within Amazon. The opportunity challenges you to bring both science and engineering together to identify the most relevant Ads on Amazon’s product detail pages. Your work will impact the user experience of millions of Amazon’s customers.As a Data Scientist in our team, you will collaborate directly with developers and scientist to produce modeling solutions, you will partner with software developers and data engineers to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, automate and scale the analysis, and develop metrics that will enable us to continually delight our customers worldwide. As a successful data scientist, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.Major responsibilities include:· Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Directly contribute to the design and development of automated selection systems· Build customer-facing reporting tools to provide insights and metrics which track system performance· Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support· Communicating verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations
  • US, WA, Seattle
    Job ID: 1039603
    (Updated 1 day ago)
    The AWS Infrastructure Hardware Engineering team is looking for a Data Science Manager to build tools and conduct analysis for those that must act on data and those that must use to inform decisions. You will allow leaders to find and understand the relevant and meaningful information that helps them make the best business decisions every day. We conduct research that spans every area of the data center - from server design, quality, business operations, and cost. Our work includes analyses, experimentation, and hands-off-the-wheel cutting machine learning solutions.Success in this role will require the courage to chart a new course. You will build your own team to understand all aspects of the associate experience. You and your team will inform senior business leaders by providing associate insights that will guide attraction, retention, and more. You will also inject science into the practice of Hardware Engineering at Amazon.The ideal candidate will be:· A Well-Rounded Athlete –Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.· A Perpetual Student – You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to challenges they had not yet identified.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.
  • US, WA, Seattle
    Job ID: 1039383
    (Updated 1 day ago)
    Amazon.com seeks an exceptional Data Scientist to join our Sponsored Products Marketplace Finance team. The role will be a key partner to Amazon’s Sponsored Products Marketplace business, a high-growth business with a range of products offerings for advertisers and using “pay-per-click” business model. We love data and we have lots of it. We’re looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model as well as the relationship this business has with Amazon’s core eCommerce business – and leveraging this knowledge to help turn the flywheel of the business.As a key analytics partner, you will have the opportunity to work on one of the world's largest consumer and advertising data sets, as well as influence the long-term evolution of our products and the way they fit in Amazon's ecosystem to develop insights into different aspects of our business (monetization, shopper experience, advertiser experience, marketplace dynamics).This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including economists and other finance leaders, product managers, software engineers, data scientists as well as senior leadership.The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must.This role will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for influence and growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s customers.
  • US, WA, Seattle
    Job ID: 1039352
    (Updated 1 day ago)
    The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo.What will you help us create?The Team: How often have you had an opportunity to be a founding member of a team that is solving a significant problem through innovative technology? Would you like to know more about how we are envisioning the use of machine learning, AI and linear programming to solve these problems? If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.As a data scientist, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device to provide customer great products. This role will be a key member of a Science and Data technology team based in Seattle, WA. You will work closely with other research scientists, machine learning experts, engineers to design and run experiments, research new algorithms, and find new ways to improve Amazon Device Services & Software products. You will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.The key responsibility for this role include:· Define proper output business Metrics, and build input models to identify patterns and drivers of the output. Drive actions at scale using scientifically-based methods and decision making.· Design and develop complex mathematical, statistical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions· Design experiments, test hypotheses, and build actionable models· Prototype these models by using modeling languages such as R or in software languages such as Python.· Work with software engineering teams to drive scalable, real-time implementations· Utilizing Amazon systems and tools to effectively work with terabytes of data
  • US, MA, Cambridge
    Job ID: 1039174
    (Updated 1 day ago)
    Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background 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 a 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 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.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.
  • US, WA, Seattle
    Job ID: 1039015
    (Updated 1 day ago)
    The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.As a Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
  • US, WA, Seattle
    Job ID: 1038970
    (Updated 1 day ago)
    Amazon.com Services LLC (f/k/a Amazon.com Services, Inc.)-Seattle, WA-Multiple Positions Available1. Work directly with the chief economist and senior management on keybusiness problems faced in retail, international retail, cloud computing,third party merchants, search, Kindle, streaming video, and operations.2. Apply the frontier of economic thinking to market design, pricing,forecasting, program evaluation, online advertising and other areas. Build econometric models using data systems.3. Apply economic theory to solve business problems.4. Develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems.5. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity, and IV) and forecasting (essential time series models).6. Leverage big data tools for data extraction.7. Write up and present analysis for distribution to various levels ofmanagement at Amazon8. Some percentage of telecommuting benefits is available.#0000
  • US, MA, Cambridge
    Job ID: 1038601
    (Updated 2 days ago)
    The Alexa Feedback organization owns a number of programs and domains which drive high customer engagement and feature discovery, maintains customer trust, understands customers’ feedback, develops new features that provide utility value for customers with special needs, and develops locally relevant experiences. The Alexa Experience Science team applies machine learning and natural language understanding algorithms to improve these programs and the functionality of domains such as News (“Alexa, What's the news?"), Feedback (“Alexa, that was wrong!"), Personality (“Alexa, what’s your favorite color?”), and to advance Alexa’s ability to handle more ambiguous utterances.We’re looking for a passionate, talented, and inventive Scientist to help build industry-leading ML technologies that help provide the best-possible experience for our customers. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to develop new features, predict key user behaviors and deliver automated decisions, both offline and in real time.What You Will Do· Step in as an experienced member of a machine learning research team, establish technical credibility quickly, and help recruit elite machine learning practitioners.· · Contribute to setting up the research vision for the team, and develop and execute on a roadmap that addresses the major questions faced by the domains we serve.· · Raise the bar for research quality and impact. Stay up to date on research results both within and complementary to the Alexa technology space and helping both your team and the larger org utilize tried patterns and state of the art results to work smarter and faster.· · See it through — don’t stop at delivering a report or a model, use your work to influence and create durable change in how leaders at Alexa think about problems.· · Solve problems durably — design processes, tools, and programs that solve entire categories of problems without you or your team’s direct intervention.· · Hands-on practitioner - You yourself are actively involved in performing data analysis, A/B experimentation and modeling with large data sets to develop insights that increase device usage and customer experience· · Work closely with product managers and software engineers to design experiments and implement end-to-end solutions. Communicate the results of your optimizations to various business stakeholders· · Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences· · Develop the skills of junior members through mentorship and training.
  • US, MA, Cambridge
    Job ID: 1038600
    (Updated 2 days ago)
    The Alexa Feedback organization owns a number of programs and domains which drive high customer engagement and feature discovery, maintains customer trust, understands customers’ feedback, develops new features that provide utility value for customers with special needs, and develops locally relevant experiences. The Alexa Experience Science team applies machine learning and natural language understanding algorithms to improve these programs and the functionality of domains such as News (“Alexa, What's the news?"), Feedback (“Alexa, that was wrong!"), Personality (“Alexa, what’s your favorite color?”), and to advance Alexa’s ability to handle more ambiguous utterances.We’re looking for a passionate, talented, and inventive Scientist to help build industry-leading ML technologies that help provide the best-possible experience for our customers. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to develop new features, predict key user behaviors and deliver automated decisions, both offline and in real time.What You Will Do· Step in as an experienced member of a machine learning research team, establish technical credibility quickly, and help recruit elite machine learning practitioners.· · Contribute to setting up the research vision for the team, and develop and execute on a roadmap that addresses the major questions faced by the domains we serve.· · Raise the bar for research quality and impact. Stay up to date on research results both within and complementary to the Alexa technology space and helping both your team and the larger org utilize tried patterns and state of the art results to work smarter and faster.· · See it through — don’t stop at delivering a report or a model, use your work to influence and create durable change in how leaders at Alexa think about problems.· · Solve problems durably — design processes, tools, and programs that solve entire categories of problems without you or your team’s direct intervention.· · Hands-on practitioner - You yourself are actively involved in performing data analysis, A/B experimentation and modeling with large data sets to develop insights that increase device usage and customer experience· · Work closely with product managers and software engineers to design experiments and implement end-to-end solutions. Communicate the results of your optimizations to various business stakeholders· · Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences· · Develop the skills of junior members through mentorship and training.
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