Careers

At Amazon Brazil we value Diversity, Equity and Inclusion (DEI) in all our job positions, therefore, we act intentionally so that our internal environment reflect the plurality of the businesses we play and the customers we serve. In Brazil, we have a Diversity, Equity and Inclusion squad, which is formed by representatives from different roles and areas, as we understand that this agenda must have different perspectives and multiple experiences. Our leadership is committed and understands more and more their role in sharing and acting on our leadership principles, with the purpose of ‘Strive to Be Earth's Best Employer’. Understanding our responsibility and our need for change, we are conscientious that ‘Success and Scale Bring Broad Responsibility’ Our affinity groups are built from and by volunteers from different businesses and they are an active part of our DE&I strategies definition. Besides that, they act as ambassadors of this agenda, and they will support you from Day1. Remember, at Amazon ‘It’s always Day1’. Our groups are organized in the following fronts: BEN - Black Employee Network, Women@Amazon, Glamazon (LGBTQIA+) and People With Disabilities. For millions of customers worldwide, the Amazon name is synonymous with delivery – and the Customer Fulfillment Experience Team (CFX) team provides those customers with innovative ways to get what they want and need, enabling the choices they make on every order, every day. We combine customer impact with retail invention, solving huge technical challenges along the way. We are looking for a Senior Economist to drive innovation in Amazon's retail supply chain and help solve key business problems in operations. In this role, you will leverage state-of-the-art econometric methods to guide billion-dollar investment decisions in the Amazon Brazil. You will own, execute, and expand a research roadmap that connects science, business, and engineering and contributes to Amazon's long-term success. You'll 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 develop novel approaches to processing large data sets, solving quantitative problems, and contributing to the design of automated systems across the company. To be successful in this role, you'll need to communicate effectively, work closely with stakeholders across CFX and our partner teams, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other to continuously raise the bar. Key job responsibilities • Lead data-driven econometric studies to create future business opportunities • Consult with stakeholders in Customer Fulfillment Experience and other teams to help solve existing business challenges • Independently identify and pursue new opportunities to leverage economic insights • Advise senior leaders and collaborate with other scientists to drive innovation • Support innovative delivery program growth worldwide • Write business and technical documents communicating business context, methods, and results to business leadership and other scientists We are open to hiring candidates to work out of one of the following locations: Sao Paulo, SP, BRA

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 Capabilities to fulfil all customer processes in the IN-ECCF regions. We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - 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 - Passionate about working with huge data sets ( training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets - 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. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND | Hyderabad, TS, IND

The JP Retail Science team is looking for an Applied Scientist to expand our efforts in automating negotiations In this position, you will be expected to research, design and build new tools to increase Amazon's operational efficiency with vendor negotiations. It may require working in the areas of recommendation, mathematical optimization or NLP. This is the ideal role if you are excited about leveraging science for tangible business impact. You will work within an international team of scientists and engineers, all based in Tokyo, Japan. We are a team that thrives on growth, both personal and professional. Engage in academic collaborations, spark innovation in hackathons, and expand your horizons with conference visits. Key job responsibilities As an Applied Scientist, your responsibilities will be: - Work closely with other scientists and engineers to review and improve your model design proposals. - Partner with product managers and other business stakeholders, documenting and explaining your progress in business reviews, and being the technical voice in charge of your product. - Spot opportunities for innovation and scientific publications, and publish to internal or external conferences. - Be active in the community, participating in science education/growth activities. - Keep up to date with scientific development in the field. About the team JP Retail Science is a team of Applied Scientists, Science Managers, and Business Intelligence Engineers. The team's charter is to develop science-based models to help all Amazon vendors to maximize their growth. From our base office in Tokyo, Japan, we build for all vendors worldwide, and collaborate with other science teams in Europe and US. Because we are not tied to a specific technology, such as Search or Alexa, our projects and the science required change dynamically depending on the vendor needs. In the past we have worked on initiatives drawing from multiple disciplines, including causal inference, LLM, forecasting, and optimization. A large fraction of the team consists of former academic researchers, and we maintain that culture through collaboration with universities, exchange programs, and conference participation. We are open to hiring candidates to work out of one of the following locations: Tokyo, 13, JPN

At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud. We are looking for a Senior Applied scientist who will function as a science leader and drive innovation with Gen AI to bring paradigm shift to how the business operates and build “best in the world” experience that customers will love! Some of the science challenges we work on include auto-generating code from natural language, generating insights and recommendations from large sets of data. You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system. Our team packs a punch with principal level product, science, engineering, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history! AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. - Analyze and extract relevant information from large amounts of data and derive useful insights. - Work with software engineering teams to deliver production systems with your ML models - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation A day in the life 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Seattle, WA, USA

The Campaign Measurement & Optimization (CMO) organization is looking for a Principal Research Scientist interested in solving one of the most challenging business problems in marketing measurement, a thought leader with deep expertise in modeling, and scaling measurement science. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine marketing measurement at Amazon and its subsidiaries. The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon. This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As a lead research scientist in the team, you will be responsible for designing and developing cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, developing Deep Learning models for estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists, economists and software developers in the business. In this role, you will be a technical leader in Marketing science research with significant scope, impact, and high visibility. You will champion cutting edge ML models using the latest in Deep Learning, and Transformers. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and measurement science models, real-time inference, and cross-channel orchestration. As a successful scientist, you are an analytical problem solver who enjoys diving into data, leads development of new frameworks, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in employing deep learning models to solve business problems, preferably in causal inference. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will coach and guide junior scientists to grow the team’s talent and scale the impact of your work. We are open to hiring candidates to work out of one of the following locations: Irvine, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilities Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As a senior scientist, you will also help coach/mentor junior scientists in the team. We are open to hiring candidates to work out of one of the following locations: Austin, TX, USA | Bellevue, WA, USA

Amazon is looking for talented Postdoctoral Scientists to join our Amazon Robotics team for a one-year, full-time research position. Postdoctoral scientists at Amazon Robotics focus on solving research-intensive business problems by exploring new research ideas, accelerating scientific innovation and impact, and publishing their work in top-tier, peer-reviewed scientific venues. Postdoctoral scientists raise the scientific bar across Amazon by diving deep into exploratory areas of research to enhance the customer experience. This postdoctoral scientist will be exploring and building upon the state of the art in the domain of Foundation Models and Generative AI for dynamic, multi-robot systems. The research will cover extensions/adaptations to the Transformer model architecture and data representations to accommodate the specific nature of our multi-robot data. For example, in physical systems, hallucinations could result in physical objects that appear, disappear, or teleport in ways that are physically inconsistent or infeasible. As a result, example research questions include (i) What data representations and model architectures are most suitable for our multi-robot systems? (ii) How can we create a model that enforces physical constraints? (ii) How can we derive application models that will focus on certain robotic tasks/problems? The Research Science, Applied Science, and Data Science team (RAD) focuses on planning and optimization problems where robotic systems are faced with complex decisions. The RAD Data Science (RAD-DS) team builds upon the advancements in Data Science, Machine Learning, and Artificial Intelligence (ML and AI) to enable more performant, scalable, adaptive, and robust AR systems. We develop ML models to measure and improve performance. As a research and innovation team, we work with product and engineering teams to research, develop, and transfer new machine learning models, algorithms, and solutions that improve the performance of AR components, systems, and systems of systems. We work across verticals to build and integrate new AI-driven methods that push the limit of performance. Key job responsibilities • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. We are open to hiring candidates to work out of one of the following locations: Westborough, MA, USA

Join us at the cutting edge of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s scale & speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world around us to become more sustainable. Sustainability Science and Innovation (SSI) is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise. We use this expertise and skills to identify, develop and evaluate the science and innovations necessary for Amazon, customers and partners to meet their long-term sustainability goals and commitments. We’re seeking a Senior Principal Scientist for Sustainability and Climate to drive technical strategy and innovation for our long-term sustainability and climate commitments through the latest science trends and emergent technologies, including AI & ML. You will serve as the strategic technical advisor to science, emerging tech, and climate pledge partners operating at the Director, VPs, and SVP level. You will set the next generation modeling standards for the team and tackle the most immature/complex modeling problems following the latest sustainability/climate sciences. You will stay current with emergent sustainability/climate science and machine learning trends, translate for leadership and be the external voice of our interpretation. You will nurture a continuous delivery culture to embed informed, science-based decision-making into existing mechanisms, such as decarbonization strategies, ESG compliance, and risk management. You will collaborate with the team to define emergent strategy for The Climate Pledge (TCP) based on emergent science and tech trends and influence investment strategy. You’ll also participate in worldwide sustainability organizational planning, hiring, mentorship and leadership development. If you see yourself as a thought leader and innovator at the intersection of climate science and tech, we’d like to meet you. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that reduce complexity for customers, increase customer security posture, and are provably correct? If so, then we have an exciting opportunity for you to leverage Automated Reasoning techniques across EC2 and EC2 Networking. In this role, you will interact with internal teams and external customers to understand their networking requirements. You will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use. You will interact with the broader academic community, and have the opportunity to publish your work. Inclusive Team Culture 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 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves some on-call responsibilities, typically for one week every two months. We work to ensure we don’t get paged for the same issue twice and that you have time to recover if you are paged at an odd hour. Mentorship & Career Growth 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. We are open to hiring candidates to work out of one of the following locations: Minneapolis, MN, USA | Portland, OR, USA

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