Careers

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to support industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Applied Scientist with the AGI team, you will work with talented peers to support the development of novel algorithms and model evaluation techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances with LLMs and multimodal systems. About the team The AGI team has a mission to push the envelope in LLMs and multimodal systems, 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

Does innovating and delivering the world's best shopping offer evaluation experience excite you? Can you imagine delighting millions of shoppers (with unique shopping intents) with competitive, attractive offers in one of the most visited ecommerce sites? Are you looking forward to solving hard problems that combine business, scientific, and engineering challenges? Join us, and you'll help millions of worldwide Amazon shoppers make informed purchase decisions from a multi-billion product selection! Key job responsibilities - Utilize artificial intelligence, statistics, econometrics, and creative problem-solving skills to improve one of the most significant ecommerce algorithms that impacts millions of shoppers and sellers in the planet. - Partner closely with engineers to put your research and ideas into production on Amazon.com. - Leverage your science expertise to research and deliver novel solutions to explore emerging problem spaces, and create or organize knowledge around them. - Publish papers and file patents to contribute to the machine learning community. - Mentor Applied Scientists and Engineers with an interest in ML. - Provide ML consultation outside your team for other problem statements. About the team The Featured Merchant Algorithm (FMA) vision is to provide the world’s best offer evaluation experience, ensuring that Amazon customers see the best and most relevant offers – regardless of seller, brand, store, fulfillment channel, or shopping format – for any item at any point in the shopping journey. As the global authority of offer recommendation, we strive to reduce cognitive load of shoppers and drive competition across programs/offers. We are a team of Scientists, Economists, Engineers, and Designers working together to realize this mission. We operate in a diverse space that includes modeling of customer purchase behavior, advanced simulation, experimentation, evaluation, and compliance. We employ a variety of ML, statistics, reasoning, and econometric techniques. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, 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 are seeking an experienced Senior Applied Scientist to play a key role in our work to achieve our long-term sustainability and climate commitments. In this role, you will leverage your breadth of expertise in data science methodologies, statistical modeling, and scientific programming to analyze complex datasets, build scientific tools, and inform sustainability strategies across carbon, waste, and water management. The successful applicant will lead by example, pioneering science-vetted data-driven approaches, and working collaboratively to implement strategies that align with Amazon’s long-term sustainability vision. You will be at the forefront of exploring and resolving complex sustainability issues, bringing innovative ideas to the table, and making meaningful contributions to projects across SSI’s portfolio. This role not only demands technical expertise but also a strategic mindset and the agility to adapt to evolving sustainability challenges through self-driven learning and exploration. Key job responsibilities - Own the design and development of scientific scripts to solve complex and ambiguous problems, and extract strategic learnings from large datasets. - Effectively influence stakeholders across partner teams through strong communication, and high-quality technical artifacts. - Professionally communicate your work to senior business leaders and the broader science community. - Work closely with software engineering teams to implement your scientific models. - Lead early-stage strategic sustainability initiatives and effectively learn from, collaborate with, and influence stakeholders to scale-up high-value initiatives. About the team Diverse Experiences: World Wide Sustainability (WWS) 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. Inclusive Team Culture: 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. We are open to hiring candidates to work out of one of the following locations: San Francisco, CA, USA

The Artificial General Intelligence (AGI) - Automations team is developing AI technologies to automate workflows, processes for browser automation, developers and ops teams. As part of this, we are developing services and inference engine for these automation agents, and techniques for reasoning, planning, and modeling workflows. If you are interested in a startup mode team in Amazon to build the next level of agents then come join us. Scientists in AGI - Automations will develop cutting edge multimodal LLMs to observe, model and derive insights from manual workflows to automate them. You will get to work in a joint scrum with engineers for rapid invention, develop cutting edge automation agent systems, and take them to launch for millions of customers. Key job responsibilities - Build automation agents by developing novel multimodal LLMs. A day in the life An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience.; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. We are open to hiring candidates to work out of one of the following locations: Boston, MA, USA | San Jose, CA, USA

The Artificial General Intelligence (AGI) - Automations team is developing AI technologies to automate workflows, processes for browser automation, developers and ops teams. As part of this, we are developing services and inference engine for these automation agents, and techniques for reasoning, planning, and modeling workflows. If you are interested in a startup mode team in Amazon to build the next level of agents then come join us. Scientists in AGI - Automations will develop cutting edge multimodal LLMs to observe, model and derive insights from manual workflows to automate them. You will get to work in a joint scrum with engineers for rapid invention, develop cutting edge automation agent systems, and take them to launch for millions of customers. Key job responsibilities - Build automation agents by developing novel multimodal LLMs. A day in the life An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience.; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. We are open to hiring candidates to work out of one of the following locations: Boston, MA, USA

Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. We are looking for a Senior Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers’ experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel. Key job responsibilities We are looking for a Senior Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. About the team In September 2018 Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football. That was just the start. Now Amazon has exclusive broadcasting rights to major leagues like NFL Thursday Night Football, Tennis major like Roland-Garros and English Premium League to list few and are broadcasting live events across 30+ sports world-wide. Prime Video is expanding not just the breadth of live content that it offers, but the depth of the experience. This is a transformative opportunity, the chance to be at the vanguard of a program that will revolutionize Prime Video, and the live streaming experience of customers everywhere. We are open to hiring candidates to work out of one of the following locations: Tel Aviv, ISR

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through cutting-edge innovation. You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await! Key job responsibilities - Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis. - Research new machine learning approaches to drive continued scientific innovation. - Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Sunnyvale, CA, USA

Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. We are looking for a Science Leader to embark on our journey to build a Prime Video Live Events Israel office from the ground up. Our team will focus on developing products to allow for personalizing the customers’ experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). We are looking for someone with the experience of building teams from the ground up, hiring and fostering Applied Science Managers, Software Development Managers, researchers, Machine Learning Engineers, and Software Engineers. With proven applied science experience and delivering state-of-the-art machine learning and computer vision technologies, they will partner well with engineering, data science, product management. Key job responsibilities •Manage the Personalization and CV/ML Applied Science team. •Grow and lead Applied Science managers and Sr. Applied Scientists including their projects, performance, and career growth •Drive the charter and roadmaps with your team, management, and principal stakeholders •Work with peers, Directors and Senior Leadership to get alignment on charter and cross team projects. •Influence stakeholders to achieve the right outcomes with data, conviction, and diplomacy •Hire and mentor highly talented applied scientists, data engineers, and software engineers. About the team In September 2018 Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football. That was just the start. Now Amazon has exclusive broadcasting rights to major leagues like NFL Thursday Night Football, Tennis major like Roland-Garros and English Premium League to list few and are broadcasting live events across 30+ sports world-wide. Prime Video is expanding not just the breadth of live content that it offers, but the depth of the experience. This is a transformative opportunity, the chance to be at the vanguard of a program that will revolutionize Prime Video, and the live streaming experience of customers everywhere. We are open to hiring candidates to work out of one of the following locations: Tel Aviv, ISR

Alexa Daily Essentials is hiring an Applied Scientist to research and implement large language model innovations to enhance Alexa's language understanding, knowledge representation, reasoning and generation capabilities. The Alexa Daily Essentials team delivers experiences critical to how customers interact with Alexa as part of daily life. We drive over 40 billion+ actions annually across 60 million+ monthly customers, who engage with our products across experiences connected to Timers, Alarms, Calendars, Food, and News. Our experiences include critical time saving techniques, ad-supported news audio and video, and in-depth kitchen guidance aimed at serving the needs of the family from sunset to sundown. Our upcoming launches are at the forefront of innovation, delivering step-function improvements in experiences that stretch across the customer journey, and new AI technologies that will enable customers to send Alexa information for future recall and conversation. We collaborate closely with partners such as Amazon.com, Whole Foods, Spotify, CNN, Fox, NPR, BBC, Discovery, and Food Network to deliver our vision. If you are passionate about redefining the personal assistant experience and leveraging innovative technology to improve daily life, we’d love to hear from you. This is an opportunity to make a tangible impact at the heart of the Alexa ecosystem. As an applied scientist, you will advance state of the art techniques in ML and LLM, and work closely with product and engineering teams to build the next generation of the Alexa smart assistant. Key job responsibilities - Rapidly prototype ML/LLM solutions, evaluate feasibility, and drive projects to production deployment - Continuously monitor and improve model performance through retraining, parameter tuning, and architecture refinements - Develop new training and inference techniques to improve model performance - Work cross-functionally across engineering, product, and business teams to understand customer needs, scope science work, and drive science solutions from conception to customer delivery - Research and develop LLM innovations, and lead paper publications. - Code proficiently in Python (required) and Java (preferred); optimize systems for high performance at scale; contribute code directly into production services - Innovate and develop science and engineering solutions that optimize team operations and increase team effectiveness. - Clearly communicate complex technical concepts to non-technical stakeholders and leadership We are open to hiring candidates to work out of one of the following locations: Vancouver, BC, CAN

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 | Virtual Location - USA