Careers

Amazon's Pricing & Promotions Science is seeking a driven Senior Applied Science Manager to build & lead an exceptional group of researchers in harnessing planet scale multi-modal datasets, and navigating a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide. We are looking for a talented, organized, and customer-focused leader to head the Product Intelligence science group, with a charter to derive deep neural product relationships, quantify substitution and complementarity effects, and publish trust-preserving probabilistic price ranges on all products listed on Amazon. This role requires an individual with excellent team leadership skills, outstanding business acumen, and an entrepreneurial spirit. We are looking for an experienced leader who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment. Key job responsibilities - Build the right team. Lead and foster a highly talented group of applied machine learning scientists & researchers. Establish internal and external talent acquisition opportunities. - See the big picture. Shape long term vision for Amazon's science-based competitive, perception-preserving pricing techniques - Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale - Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems - Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery. About the team Within Pricing & Promotions Science, the Product Intelligence team leverages planet scale multi-modal data on billions of Amazon and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

Amazon is looking for talented Postdoctoral Scientists to join our Corporate Projects team for a one-year, full-time research position. Corporate Projects is a team that sits within the broader Corporate Development organization at Amazon. We seek to bring net-new, strategic projects to life by working together with customers and evolving projects from ZERO-to-ONE. To do so, we deploy our resources towards proofs-of-concept and pilot programs and develop them from high-level ideas (the ZERO) to tangible short-term results that provide validating signal and a path to scale (the ONE). We work with our customers to develop and create net-new opportunities by relentlessly scouring all of Amazon and finding new and innovative ways to strengthen and/or accelerate the Amazon Flywheel. As a Postdoctoral Scientist on the Corporate Projects team, you will develop algorithms and approaches to identifying and characterizing people and objects in an FC scene. The postdoc will work across Amazon to learn about programs developing related systems take the data collected by the Toucan team in the field to create and train a vision classifier. The postdoc will collaborate with other team members to test it and refine it Key job responsibilities In this role you will: * 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: North Reading, MA, USA

Are you passionate about transforming the digital reading and publishing landscape? The Kindle Books Team is at the forefront of revolutionizing the publishing and reading experience for millions worldwide. We are seeking innovative Applied Scientists to join us at the forefront of the digital transformation in the publishing industry. Our team is dedicated to enhancing the book publishing and reading experience using cutting-edge AI technology. We strive to streamline the publishing lifecycle, improve digital reading, and empower book publishers through innovative AI tools and solutions to grow their business on Amazon. We are building a holistic team focused on leveraging advances in AI to improve the Reading experience for Kindle customers, and the Publishing experience for book content creators and distributors; and this role is specifically for an Applied Scientist who will focus on making publishers lives easier through AI. We are building a Publishing & Reading Science team and looking for Scientists, who are passionate about Reading and are willing to take Reading to the next level. Every Book is a complex structure with different entities, layout, format and semantics, with more than 17MM eBooks in our catalog across different publishers. We are looking for experts in all domains like core NLP, Generative AI, CV and Deep Learning Techniques for unlocking capabilities like analysis, enhancement, curation, moderation, translation, transformation and generation in Books based on Content structure, features, Intent, Synthesis and publisher details. Scientists will focus on Inside the book content and semantically learn the different entities to enhance the Reading and publishing experience overall (Kindle & beyond). They have an opportunity to influence in 3 major phases of life-cycle - Publishing (Creation of Books process), Reading experience (building engaging features & representation in the book thereby driving reading engagement) and Reporting (improvement through their sales & business growth). Key job responsibilities - Inspect AI initiatives across Amazon to identify how these can be applied and scaled to book publishers or publishing workflows. - Participate in team design, scoping and prioritization discussions. You must be able to map a business goal to a scientific problem, and map business metrics to technical metrics. - Spearhead the design and implementation of new features and algorithms based on thorough research and collaboration with cross-functional teams. - You have expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, Deep learning - You are able to use reasonable assumptions, data, and customer requirements to solve problems. - You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members. - You work with SDEs to deliver solutions into production to benefit customers or an area of the business. - You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects. - You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs. - You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly - You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics. - You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You keep current with research trends in your area of expertise and scrutinize your results. - Experience in mentoring junior scientists A day in the life You will be working with a group of talented scientists on researching algorithm and running experiments to test solutions to improve our experience. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, model development and productionizing the same. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. We are open to hiring candidates to work out of one of the following locations: Banagalore, KA, IND | Bangalore, IND | Bangalore, KA, IND

The AWS Center for Quantum Computing is a multi-disciplinary team of scientists, engineers, and technicians, all working to innovate in quantum computing for the benefit of our customers. We are looking to hire a Research Scientist to design and model novel superconducting quantum devices, including qubits, readout and control schemes, and advanced quantum processors. Candidates with a track record of original scientific contributions and/or software development experience will be preferred. We are looking for candidates with strong engineering principles and resourcefulness. Organization and communication skills are essential. About the team 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. 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: San Francisco, CA, USA

Amazon is looking for talented Postdoctoral Scientists to join our Corporate Projects team for a one-year, full-time research position. Corporate Projects is a team that sits within the broader Corporate Development organization at Amazon. We seek to bring net-new, strategic projects to life by working together with customers and evolving projects from ZERO-to-ONE. To do so, we deploy our resources towards proofs-of-concept and pilot programs and develop them from high-level ideas (the ZERO) to tangible short-term results that provide validating signal and a path to scale (the ONE). We work with our customers to develop and create net-new opportunities by relentlessly scouring all of Amazon and finding new and innovative ways to strengthen and/or accelerate the Amazon Flywheel. As a Postdoctoral Scientist on the Corporate Projects team, you will develop algorithms and approaches to identifying and objects that the robot will need to interact with and providing a video feed that is useful to training with teleoperation. Key job responsibilities In this role you will: * 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: North Reading, MA, USA

The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Senior Applied Scientist, with expertise in machine learning and a proven record of solving business problems through scalable ML solutions, to join our top-notch cross-domain FBA science team. We want to learn seller behaviors, understand seller experience, build automated LLM-based solutions to sellers, design seller policies and incentives, and develop science products and services that empower third-party sellers to grow their businesses. We also predict potentially costly defects that may occur during packing, shipping, receiving and storing the inventory. We aim to prevent such defects before occurring while we are also fulfilling customer demand as quickly and efficiently as possible, in addition to managing returns and reimbursements. To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics. As a senior applied scientist, you will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised and unsupervised learning, recommendation systems, statistical learning, LLMs, and reinforcement learning. This role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate scientific work into production systems. Key job responsibilities - As a senior member of the science team, you will play an integral part in building Amazon's FBA management system. - Research and develop machine learning models to solve diverse business problems faced in Seller inventory management systems. - Define a long-term science vision and roadmap for the team, driven fundamentally from our customers' needs, translating those directions into specific plans for research and applied scientists, as well as engineering and product teams. - Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring. - Review and audit modeling processes and results for other scientists, both junior and senior. - Advocate the right ML solutions to business stakeholders, engineering teams, as well as executive level decision makers A day in the life In this role, you will be a technical leader in machine learning with significant scope, impact, and high visibility. Your solutions may lead to billions of dollars impact on either the topline or the bottom line of Amazon third-party seller business. As a senior scientist on the team, you will be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. From day one, you will be working with experienced scientists, engineers, and designers who love what they do. You are expected to make decisions about technology, models and methodology choices. You will strive for simplicity, and demonstrate judgment backed by mathematical proof. You will also collaborate with the broader decision and research science community in Amazon to broaden the horizon of your work and mentor engineers and scientists. The successful candidate will have the strong expertise in applying machine learning models in an applied environment and is looking for her/his next opportunity to innovate, build, deliver, and impress. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready machine learning solutions. The candidate will need to be entrepreneurial, wear many hats, and work in a fast-paced, high-energy, highly collaborative environment. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career. About the team Fulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, see their sales lift, and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years, sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the third-party supply chain. FBA sellers leverage Amazon’s expertise in machine learning, optimization, data analytics, econometrics, and market design to deliver the best inventory management experience to sellers. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA

The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Applied Scientist, with expertise and experience in machine learning, to join our top-notch cross-domain FBA science team. We want to learn seller behaviors, understand seller experience, build automated LLM-based solutions to sellers, design seller policies and incentives, and develop science products and services that empower third-party sellers to grow their businesses. We also predict potentially costly defects that may occur during packing, shipping, receiving and storing the inventory. We aim to prevent such defects before occurring while we are also fulfilling customer demand as quickly and efficiently as possible, in addition to managing returns and reimbursements. To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics. As an applied scientist, you will design and implement ML solutions that will likely draw from a range of scientific areas such as supervised and unsupervised learning, recommendation systems, statistical learning, LLMs, and reinforcement learning. This role has high visibility to senior Amazon business leaders and involves working with other senior and principal scientists, and partnering with engineering and product teams to integrate scientific work into production systems. Key job responsibilities - Research and develop machine learning models to solve diverse FBA business problems. - Translate business requirements/problems into specific plans for research and applied scientists, as well as engineering and product teams. - Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring. - Work closely with teams of scientists, product managers, program managers, software engineers to drive production model implementations. - Build scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers A day in the life In this role, you will work in machine learning with significant scope, impact, and high visibility. Your solutions may lead to billions of dollars impact on either the topline or the bottom line of Amazon third-party seller business. As an applied scientist, you will be involved in every aspect of the scientific development process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. From day one, you will be working with experienced scientists, engineers, and designers who love what they do. You are expected to make decisions about technology, models and methodology choices. You will strive for simplicity, and demonstrate judgment backed by mathematical proof. You will also collaborate with the broader decision and research science community in Amazon to broaden the horizon of your work and mentor engineers and scientists. The successful candidate will have the strong expertise in applying machine learning models in an applied environment and is looking for her/his next opportunity to innovate, build, deliver, and impress. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready machine learning solutions. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career. About the team Fulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, see their sales lift, and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years, sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the third-party supply chain. FBA sellers leverage Amazon’s expertise in machine learning, optimization, data analytics, econometrics, and market design to deliver the best inventory management experience to sellers. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA

Outbound Communications own the worldwide charter for delighting our customers with timely, relevant notifications (email, mobile, SMS and other channels) to drive awareness and discovery of Amazon’s products and services. We meet customers at their channel of preference with the most relevant content at the right time and frequency. We directly create and operate marketing campaigns, and we have also enabled select partner teams to build programs by reusing and extending our infrastructure. We optimize for customers to receive the most relevant and engaging content across all of Amazon worldwide, and apply the appropriate guardrails to ensure a consistent and high-quality CX. Outbound Communications seek a talented Applied Scientist to join our team to develop the next generation of automated and personalized marketing programs to help Amazon customers in their shopping journeys worldwide. Come join us in our mission today! Key job responsibilities As an Applied Scientist on the team, you will lead the roadmap and strategy for applying science to solve customer problems in the automated marketing domain. This is an opportunity to come in on Day 0 and lead the science strategy of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive messaging experiences. You will be part of a multidisciplinary team and play an active role in translating business and functional requirements into concrete deliverables. You will work closely with product management and the software development team to put solutions into production. You will apply your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. You will have a unique opportunity to produce and deliver models that help build best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

We are looking for a passionate, talented, and resourceful Applied Scientist with background in Natural Language Processing (NLP), Reinforcement Learning, or Recommender Systems to invent and build scalable solutions for a state-of-the-art conversational assistant. The ideal candidate should have a robust foundation in machine learning and a keen interest in advancing the field. The ideal candidate would also enjoy operating in dynamic environments, have the self-motivation to take on challenging problems to deliver big customer impact, and move fast to ship solutions and then iterate on user feedback and interactions. About the team The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading conversational technologies that customers love. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, 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: Bellevue, WA, USA | Boston, MA, USA | Seattle, WA, USA | Sunnyvale, CA, USA

Climate Pledge Friendly helps customers discover and shop for products that are more sustainable. We partner with trusted sustainability certifications to highlight products that meet strict standards and help preserve the natural world. By shifting customer demand towards more sustainable products, we incentivize selling partners to build better selection, creating a virtuous cycle that yields significant environmental benefit at scale. We are seeking a Senior 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. You will take the lead in conceptualizing, building, and launching models that significantly improve our shopping 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. You will work with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed ML models and services. The types of initiatives you can expect to work on include a) personalized recommendations that help our customers find the right sustainable products on each shopping journey, b) automated solutions that combine ML/LLM and data mining to identify products that align with our sustainability goals and resonate with our customers' values, and c) models to measure the environmental and econometric impacts of sustainable shopping. Key job responsibilities To be successful, you must have expertise using machine learning, data mining, and statistical techniques to create actionable, meaningful, and scalable solutions to complex business problems. You should have a practical understanding of strength and weakness of various scientific approaches, and excellent communication skills to communicate complex technical concepts with a range of technical and non-technical audience. As a Senior Applied Scientist for Climate Pledge Friendly, you will - Collaborate with cross-functional teams to identify requirements for ML model development, focusing on enhancing our mission understanding through innovative AI techniques. - Serve as a technical lead and liaison for ML projects, facilitating collaboration across teams and addressing technical challenges. - Design and implement scalable ML models capable of processing and analyzing large datasets to improve sustainable shopping. - Lead the management and experiments of ML models at scale, applying advanced ML techniques to optimize science solutions. - Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems. - Build a roadmap of science investments necessary for the team to evolve product identification and the shopping experience. About the team The Climate Pledge Friendly core team is highly motivated team of engineers, product managers and designers. This is still Day 1 for our program, and you will have the opportunity to help us craft a science based vision for the future. We are open to hiring candidates to work out of one of the following locations: Boston, MA, USA | New York, NY, USA | Seattle, WA, USA