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Advance the state of the art in customer-obsessed science.
Alex Guazzelli, director of machine learning in Amazon’s Customer Trust and Partner Support unit, stands in front of a window
Great scientists are invention machines, they find innovative ways to tackle challenges. In their quest, they are not afraid to fail as that is part of experimentation.
Alex Guazzelli, director of machine learning in Amazon’s Customer Trust and Partner Support unit

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1,804 results found
  • (Updated about 8 hours ago)
    Job summaryAmazon is looking for a creative Senior Applied Scientist to tackle some of the most interesting problems on the leading edge of natural language processing (NLP) and machine learning (ML) with our Alexa Artificial Intelligence (AI) team. Alexa AI aims to reinvent search and information retrieval for a voice-forward, multi-modal future. We enable customers to interact with unstructured and semi-structured content via a broad range of customer experiences including question answering, summarization, search, and multi-turn dialogues.Key job responsibilitiesIf you are looking for an opportunity to develop innovative solutions to deep technical problems having a massive customer impact, this might be the role for you! As a Senior Applied Scientist, you will work with smart, passionate colleagues in a fast-paced environment. You will develop and help deploy novel, scalable algorithms to advance the state-of-the-art in technology areas at the intersection of NLP and ML. You will keep up with relevant research in the field of NLP and publish your work in top-tier conferences. You will contribute to a multi-year research roadmap, enabling the team to focus on the right technical challenges to delight our customers.
  • US, NY, New York
    Job ID: 1749164
    (Updated about 9 hours ago)
    Job summaryAmazon AI is looking for an experienced Data Scientist with abackground in the intersection of linguistics, phonetics, or NLP andstatistics/machine learning to help build industry-leading speech andlanguage processing services.As part of our AI team in Amazon Web Services, you will work alongsideapplied scientists, software engineers, and language engineers todefine data requirements for training AI services, ensure dataquality, develop suitable evaluation metrics for novel AI features andservices, and analyze systems' input/output behavior. You will be responsiblefor implementing and maintaining data analysis tools and pipelines, creatinginsightful analyses of complex production systems, and communicating resultsto scientists, product managers, and customers.Your work will directly impact millions of our customers in the formof products and services that make use of speech and languagetechnology. You will gain hands on experience with Amazon’sheterogeneous speech, text, and structured data sources, andlarge-scale computing resources to accelerate advances in spokenlanguage processing.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
  • GB, Cambridge
    Job ID: 1749023
    (Updated about 11 hours ago)
    Job summaryAmazon is looking for a creative Applied Scientist to tackle some of the most interesting problems on the leading edge of Machine Learning (ML), Natural Language Processing (NLP), and Information Retrieval (IR) with our Device Design Group (DDG). Amazon’s Device Design Group has launched revolutionary products like Echo, Fire TV, Alexa Communications, and more. Are you interested in joining the team to lead Amazon’s next innovation?The successful candidate will develop novel ML/NLP/IR/Deep Learning technologies to make Alexa smarter. They will have a true passion for working in a collaborative, cross-functional environment that encourages thinking about optimized solutions to unique problems that do not have yet a known science solution.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 algorithms and modeling techniques to leverage and advance the state-of-the-art in technology areas that are found at the intersection of ML, NLP, IR, and Deep Learning. Your work will directly impact Amazon products and services that make use of speech and language technology. You will gain hands on experience with Alexa and large-scale computing resources.In this role you will:· Work collaboratively with scientists and developers to design and implement automated, scalable MT models;· 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, WA, Seattle
    Job ID: 1749013
    (Updated about 4 hours ago)
    MULTIPLE POSITIONS AVAILABLEEntity: Services LLC, an CompanyTitle: Economist IIWorksite: Seattle, WAPosition Responsibilities:Work with the economists, scientists and/or senior management on key business problems faced in retail, international retail, third party merchants, search, and/or operations. Apply the frontier of economic thinking to experiment design, forecasting, program evaluation and other areas. Build econometric models using data systems. Apply economic theory to solve business problems. Own the development of economic models and manage the data analysis, modeling and experimentation necessary to estimate and validate the models, in collaboration with scientists and engineers. Develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity) and forecasting (essential time series models). Leverage big data tools for data extraction. Work closely with business partners to communicate the intuition, implication and detail of economic analyses/modeling and incorporate feedback. Write up and present analysis for distribution to various levels of management at is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
  • US, MA, North Reading
    Job ID: 1749008
    (Updated about 11 hours ago)
    Job summaryAre 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 image 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 seek a talented and motivated engineer to tackle broad challenges in system-level analysis. You will work in a small team to quantify system performance at scale and to expand the breadth and depth of our analysis (e.g. increase the range of software components and warehouse processes covered by our models, develop our library of key performance indicators, construct experiments that efficiently root cause emergent behaviors). You will engage with growing teams of software development and warehouse design engineers to drive evolution of the AR system and of the simulation engine that supports our work.This role is a 6 month co-op to join AR full time (40 hours/week) from January-June 2022. Come join us in North Reading, MA, or in our newly expanded innovation hub in Westborough, MA!Both campuses provide a unique opportunity for co-ops to have direct access to robotics testing labs and manufacturing facilities.
  • US, WA, Seattle
    Job ID: 1748943
    (Updated about 12 hours ago)
    Job summaryWe are constantly making Alexa the best voice assistant in the world. Amazon’s Alexa cloud service and Echo devices are used every day, by people you know, in and about their homes. The Alexa Monetization team is hiring talented and experienced Sr. Applied Scientists to help building the next generation products for Alexa across multiple channels and domains. We are seeking an experienced, entrepreneurial, big thinker for a confidential new initiative within Alexa. You will be joining a team doing innovative work, making a direct impact to customers, showing measurable success, and building with the latest natural language processing systems. If you are holding out for an opportunity to:Make a huge impact as an individual· Be part of a team of smart and passionate professionals who will challenge you to grow every day· Solve difficult challenges using your expertise in coding elegant and practical solutions· Create applications at a massive scale used by millions of people· Work with machine learning systems to deliver real experiences, not just researchAnd you are experienced with…· Drive applied science (machine learning) projects end-to-end ~ from ideation, analysis, prototyping, development, metrics, and monitoring· Conduct deep analyses on massive user and contextual data sets· Propose viable modeling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results· 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 NLP and related optimization problems· Produce peer-reviewed scientific paper in top journals and conferencesAnd you constantly look for opportunities to…· Innovate, simplify, reduce waste, and increase efficiencies· Use data to make decisions and validate assumptions· Automate processes otherwise performed by humans· Learn from others and help grow those around you...then we would love to chat!In 2021, we have the opportunity to build new products and features from the ground up and we are looking for strong, bias for action engineering leaders who are not afraid of taking bold bets and trying new things to improve customer experience for Alexa.As part of a new and growing team, you will be iterating on new features and products to help drive innovation and expansion. You will work on cross-functional and cross-domain opportunities; tackle challenging projects aim to accelerate experimentations in Alexa; and build out operating mechanisms and technology to enable novel customer experiences. You will be instrumental in setting the team culture, quality bar, engineering best practices, and norms. Mentoring and growing the team around you will be one of the primary ways you measure your own success. You will have the opportunity to contribute and develop deep expertise in the areas of distributed systems, machine learning, conversational technologies, user interfaces (including voice and natural user interfaces), data storage and data pipelines.This role is exciting for scientists who love to apply startup mindset to their day-to-day, enjoy working cross-functionally to master both business and technology knowledge, and are passionate about building engineering best practices. If you are looking for opportunity to learn, grow and lead, this is the position for you.
  • US, WA, Seattle
    Job ID: 1748920
    (Updated about 11 hours ago)
    Job summaryWhy this job is awesome?· This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.· MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.· We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.· You will help the Delivery Experience organization to build causal inference framework and analyze the long-term effect on business· Your work will support the Amazon leadership to make visionary business decisions.· Do you want to join an innovative team of scientists and engineers who use machine learning and statistical inference techniques to deliver the best delivery experience on every Amazon-owned site?· · Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems?· · Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company?· · Do you like to innovate and simplify?If yes, then you may be a great fit to join the Delivery Experience Machine Learning team.Major responsibilities:· Research and implement causal inference techniques to create scalable and effective models in Delivery Experience (DEX) systems· Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites.· Design and develop machine learning framework to measure the long-term effect of all models in DEX systems· Design and develop search ranking, recommendation and personalization models to improve Amazon customer experience· Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities· Establishing scalable, efficient, automated processes for large scale data analysis and causal inference
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