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Applied Scientist, Amazon
US, CA, Palo Alto
The Amazon Search Mission Understanding (SMU) team is at the forefront of revolutionizing the online shopping experience through the Amazon search page. Our ambition extends beyond facilitating a seamless shopping journey; we are committed to creating the next generation of intelligent shopping assistants. Leveraging cutting-edge Large Language Models (LLMs), we aim to redefine navigation and decision-making in e-commerce by deeply understanding our users' shopping missions, preferences, and goals. By developing responsive and scalable solutions, we not only accomplish the shopping mission but also foster unparalleled trust among our customers. Through our advanced technology, we generate valuable insights, providing a guided navigation system into various search missions, ensuring a comprehensive and holistic shopping experience. Our dedication to continuous improvement through constant measurement and enhancement of the shopper experience is crucial, as we strategically navigate the balance between immediate results and long-term business growth. We are seeking an Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation. The ideal candidate will have a profound expertise in developing, deploying, and contributing to the next-generation shopping search engine, including but not limited to Retrieval-Augmented Generation (RAG) models, specifically tailored towards enhancing the Rufus application—an integral part of our mission to revolutionize shopping assistance. You will take the lead in conceptualizing, building, and launching groundbreaking models that significantly improve our understanding of and capabilities in enhancing the search experience. A successful applicant will display a comprehensive skill set across machine learning model development, implementation, and optimization. This includes a strong foundation in data management, software engineering best practices, and a keen awareness of the latest developments in distributed systems technology. We are looking for individuals who are determined, analytically rigorous, passionate about applied sciences, creative, and possess strong logical reasoning abilities. Join the Search Mission Understanding team, a group of pioneering ML scientists and engineers dedicated to building core ML models and developing the infrastructure for model innovation. As part of Amazon Search, you will experience the dynamic, innovative culture of a startup, backed by the extensive resources of Amazon.com (AMZN), a global leader in internet services. Our collaborative, customer-centric work environment spans across our offices in Palo Alto, CA, and Seattle, WA, offering a unique blend of opportunities for professional growth and innovation. Key job responsibilities Collaborate with cross-functional teams to identify requirements for ML model development, focusing on enhancing mission understanding through innovative AI techniques, including retrieval-Augmented Generation or LLM in general. Design and implement scalable ML models capable of processing and analyzing large datasets to improve search and shopping experiences. Must have a strong background in machine learning, AI, or computational sciences. Lead the management and experiments of ML models at scale, applying advanced ML techniques to optimize science solution. Serve as a technical lead and liaison for ML projects, facilitating collaboration across teams and addressing technical challenges. Requires strong leadership and communication skills, with a PhD in Computer Science, Machine Learning, or a related field. We are open to hiring candidates to work out of one of the following locations: Palo Alto, CA, USA | Seattle, WA, USA
Sr.Research Scientist
IN, TS, Hyderabad
Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. The AOP team is an integral part of this and strives to provide Analytical and Science Capabilities for ROW (Rest of the World) Operations. We are looking for a Senior Research Scientist interested in solving challenging Capacity Optimization problems across various miles of Amazon Operations. These problems have significant impact on our reliability, speed, cost and productivity. As a Senior Research Scientist in AOP, you will be focused on leading the design and development of innovative approaches and science solutions to solve multi-geo optimization problems. You will also be working closely with Scientists in global teams to converge these solutions with global roadmaps. You will suggest best practices and take on a lead role with junior scientists and BIEs in the team. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and outstanding ability in balancing technical leadership with strong business judgment to make the right decisions about model and method choices. Key job responsibilities 1. Provide technical expertise to identify science models and strategies that will allow AOP to deliver massive cost savings for ROW countries. 2. Be able to implement these models into production environments is preferred 3. Implement best practices and mechanisms to improve the overall science implementation framework of the team 4. Work closely with Product Managers, Operations Managers and Ops Leaders to improve explainability and bridging of solutions 5. Partner with other global science teams to align and merge with central strategy We are open to hiring candidates to work out of one of the following locations: Bangalore, KA, IND | Hyderabad, TS, IND
Sr. Applied Scientist, AWS Support
ZA, Cape Town
We are a new team in AWS' Kumo organisation - a combination of software engineers and AI/ML experts. Kumo is the software engineering organization that scales AWS’ support capabilities. Amazon’s mission is to be earth’s most customer-centric company and this also applies when it comes to helping our own Amazon employees with their everyday IT Support needs. Our team is innovating for the Amazonian, making the interaction with IT Support as smooth as possible. We achieve this through multiple mechanisms which eliminate root causes altogether, automate issue resolution or point customers towards the optimal troubleshooting steps for their situation. We deliver the support solutions plus the end-user content with instructions to help them self-serve. We employ machine learning solutions on multiple ends to understand our customer's behavior, predict customer's intent, deliver personalized content and automate issue resolution through chatbots. As an applied scientist on our team, you will help to build the next generation of case routing using artificial intelligence to optimize business metric targets addressing the business challenge of ensuring that the right case gets worked by the right agent within the right time limit whilst meeting the target business success metric. You will develop machine learning models and pipelines, harness and explain rich data at Amazon scale, and provide automated insights to improve case routing that impact millions of customers every day. You will be a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Amazon knows that a diverse, inclusive culture empowers us all to deliver the best results for our customers. We celebrate diversity in our workforce and in the ways we work. As part of our inclusive culture, we offer accommodations during the interview and onboarding process. If you’d like to discuss your accommodation options, please contact your recruiter, who will partner you with the Applicant-Candidate Accommodation Team (ACAT). You may also contact ACAT directly by emailing acat-africa@amazon.com. We want all Amazonians to have the best possible Day 1 experience. If you’ve already completed the interview process, you can contact ACAT for accommodation support before you start to ensure all your needs are met Day 1. Key job responsibilities Deliver real world production systems at AWS scale. Work closely with the business to understand the problem space, identify the opportunities and formulate the problems. Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Analyze complex support case datasets and metrics to drive insight Design, build, and deploy effective and innovative ML solutions to optimize case routing Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production. Drive collaborative research and creative problem solving across science and software engineering team Propose and validate hypothesis to deliver and direct our product road map Work with engineers to deliver low latency model predictions to production We are open to hiring candidates to work out of one of the following locations: Cape Town, ZAF
Senior Applied Scientist, Artificial General Intelligence
US, WA, Seattle
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Cambridge, MA, USA | New York, NY, USA | Seattle, WA, USA | Sunnyvale, CA, USA
Economist, PXT Central Science
US, WA, Seattle
The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are looking for economists who are able to apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. Key job responsibilities Use reduced-form causal analysis and/or structural economic modeling methods to evaluate the impact of policies on employee outcomes, and examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. A day in the life Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team We are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
Applied Scientist II
US, WA, Bellevue
The Artificial General Intelligent team (AGI) seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems. As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers. The ideal candidate possesses a solid understanding of machine learning fundamentals and has experience writing high quality software in production setting. The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possess the drive to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers. Key job responsibilities You will be expected to: · Analyze, understand, and model customer behavior and the customer experience based on large scale data · Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints · Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results · Build and deploy automated model training and evaluation pipelines · Perform model/data analysis and monitor metrics through online A/B testing · Research and implement novel machine learning and deep learning algorithms and models. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Boston, MA, USA
Applied Scientist, Japan Store Tech
CN, 11, Beijing
Amazon Search JP builds features powering product search on the Amazon JP shopping site and expands the innovations to world wide. As an Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search service. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages and systems. As an Applied Scientist for Search JP, you will design, implement and deliver search features on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times. Key job responsibilities - Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching, ranking and Search suggestion problems. - Analyzing data and metrics relevant to the search experiences. - Working with teams worldwide on global projects. Your benefits include: - Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers - The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems with tangible customer impact - Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals We are open to hiring candidates to work out of one of the following locations: Beijing, 11, CHN | Shanghai, 31, CHN
Cientista de Dados - Vaga afirmativa para mulheres, AWS Gen AI Innovation Center
BR, SP, Sao Paulo
A Amazon lançou o Centro de Inovação de IA Generativa em junho de 2023 para ajudar os clientes da AWS a acelerar a inovação e o sucesso empresarial com IA Generativa (https://press.aboutamazon.com/2023/6/aws-announces-generative-ai -centro de inovação). Este Centro de Inovação oferece oportunidades para inovar em uma organização de ritmo acelerado que contribui para projetos e tecnologias revolucionárias que são implantadas em dispositivos e na nuvem. Como cientista de dados, você é proficiente em projetar e desenvolver soluções avançadas baseadas em IA generativa para resolver diversos problemas dos clientes. Você trabalhará com terabytes de texto, imagens e outros tipos de dados para resolver problemas do mundo real por meio da Gen AI. Você trabalhará em estreita colaboração com equipes de contas e estrategistas de ML para definir o caso de uso, e com outros cientistas e engenheiros de ML da equipe para projetar experimentos e encontrar novas maneiras de agregar valor ao cliente. A pessoa selecionado possuirá habilidades técnicas e de contato com o cliente que permitirão que você faça parte da equipe técnica da AWS no ecossistema/ambiente de nossos provedores de soluções, bem como diretamente para os clientes finais. Você será capaz de conduzir discussões com pessoal técnico e de gerenciamento sênior de clientes e parceiros. A day in the life Aqui na AWS, abraçamos nossas diferenças. Estamos empenhados em promover a nossa cultura de inclusão. Temos dez grupos de afinidade liderados por funcionários, alcançando 40.000 funcionários em mais de 190 filiais em todo o mundo. Temos ofertas de benefícios inovadoras e organizamos experiências de aprendizagem anuais e contínuas, incluindo nossas conferências Conversations on Race and Ethnicity (CORE) e AmazeCon (diversidade de gênero). A cultura de inclusão da Amazon é reforçada pelos nossos 16 Princípios de Liderança, que lembram os membros da equipe de buscar perspectivas diversas, aprender e ser curiosos e ganhar confiança. About the team Equilíbrio trabalho/vida pessoal Nossa equipe valoriza muito o equilíbrio entre vida pessoal e profissional. Não se trata de quantas horas você passa em casa ou no trabalho; trata-se do fluxo que você estabelece que traz energia para ambas as partes da sua vida. Acreditamos que encontrar o equilíbrio certo entre sua vida pessoal e profissional é fundamental para a felicidade e a realização ao longo da vida. Oferecemos flexibilidade no horário de trabalho e incentivamos você a encontrar seu próprio equilíbrio entre trabalho e vida pessoal. Mentoria e crescimento de carreira Nossa equipe se dedica a apoiar novos membros. Temos uma ampla combinação de níveis de experiência e mandatos e estamos construindo um ambiente que celebra o compartilhamento de conhecimento e a orientação. Nossos membros seniores desfrutam de orientação individual e revisões de código completas, mas gentis. Nós nos preocupamos com o crescimento de sua carreira e nos esforçamos para atribuir projetos com base no que ajudará cada membro da equipe a se tornar um engenheiro mais completo e capacitá-los a assumir tarefas mais complexas no futuro. We are open to hiring candidates to work out of one of the following locations: Sao Paulo, SP, BRA
Senior Applied Scientist, Artificial General Intelligence
US, WA, Seattle
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: San Francisco, CA, USA | Seattle, WA, USA
Applied Scientist I
US, WA, Bellevue
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WW R&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving unparalleled operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & Recommerce. Amazon WW R&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop world-class product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. In this role, you would - Use machine learning and analytical techniques to create scalable solutions for business problems. - Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes. - Design, development, and evaluation of highly innovative models for predictive learning. - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. - Research and implement novel machine learning and statistical approaches. - Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth’s most customer-centric company and through WW R&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities In this role, you would Use machine learning and analytical techniques to create scalable solutions for business problems. Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes. Design, development, and evaluation of highly innovative models for predictive learning. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Research and implement novel machine learning and statistical approaches. Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth’s most customer-centric company and through WW R&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA
View from space of a connected network around planet Earth representing the Internet of Things.
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