Careers

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. This position requires that the candidate selected be a US Citizen. Key job responsibilities As an Data Scientist, you will - Collaborate with AI/ML scientists and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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. 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 and 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.

The Artificial General Intelligence Data Service (AGI-DS) team is seeking a dedicated, skilled, and innovative Principal Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Principal Scientist within the AGI-DS organization, you will be a trusted part of the technical leadership. You will bring a deep understanding of business and industry context to drive science and technology decisions that shape the development of algorithms and models across the organization. By setting the standard for scientific excellence, you will make critical decisions that align with the strategic goals of the company. A key aspect of your role will be to collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. You will have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology. You will solicit diverse perspectives from across the organization, challenge assumptions, and remain open to changing your views as you learn more. Your technical artifacts and solutions will be exemplary, serving as references and models of excellence for the broader team. You will tackle intrinsically complex problems, acquiring new expertise as needed, and decomposing challenges into straightforward, elegant solutions. You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The Artificial General Intelligence Data Service (AGI-DS) team strives to be best-in-class at acquiring and creating all kinds of data representing human knowledge and preferences, with the highest standards of privacy, security, quality and utility, to power the best AI models and applications on Earth.

We are Stores Foundational AI - M5 team, and we build LLM foundation models that serves a broad spectrum of areas in shopping. Imagine every shopping experience you have on Amazon has our models in the backend. We’re working to improve shopping on Amazon using LLMs, and are searching for a science leader who is passionate about technology, innovation, customer experience, and ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. You will lead a high performing team to work on cutting edge LLM technologies that makes broad customer impact. If you're fired up about being part of a dynamic, data driven team, then this is your moment to join us on this exciting journey!

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and Multimodal (MM) systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs, and MM models. 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 in 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.

Amazon is looking for talented Postdoctoral Scientists to join our Amazon Robotics team for a one-year, full-time research position. The host team is developing novel approaches to mobile robot operation to carry a wide range of loads and perform different roles in Amazon logistics. These robots are used in automating material handling throughout the fulfillment and sortation processes. The team focuses in multi-robot coordination and planning, while developing cost-sensitive solutions. The postdoc is expected to develop novel control and planning algorithms for a fleet of agile robots, working closely with mechanical engineers. Experience with hands-on development and bring-up of robotic systems would be a significant contribution to team goals. 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. • Be comfortable with a fast-paced work with a lot of unknowns and hands-on engagement.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Customer - Advertiser Success & Insights (CASI) team is seeking an Applied Scientist to help increase the effectiveness of online advertising. You will leverage computer vision, generative AI, natural language processing, casual inference, and machine learning to enhance the customer experience with online advertising. In this role, you will collaborate closely with business leaders, stakeholders, and cross-functional teams to drive success for our customers through data-driven solutions. This is an excellent opportunity for a technically-minded individual to make a tangible impact on the online advertising landscape. The role offers the chance to work with state-of-the-art technologies and contribute to the evolution of a rapidly changing industry. Key job responsibilities As an Applied Scientist in CASI, you will: -> Shape the science roadmap for CASI, fostering a culture of data-driven decision-making. -> Deliver significant business impact through advanced ML models, generative AI, and cutting-edge causal inference methodologies. -> Produce and deliver models that help drive best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput. -> Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. -> Research new and innovative machine learning approaches.

Amazon Robotics develops state-of-the-art robotics solutions to power Amazon's world-class Fulfillment Operations, which handle more single items than any other company. Our collaborative team is at the forefront of building automated manipulation products to handle and process packages and singular items. As a Data Scientist in the team, you will play a crucial role in driving data-powered decision making. Your main focus will be: * Developing predictive models and simulations to analyze complex, large-scale datasets and uncover insights to improve customer experience, cost efficiency, capital investment effectiveness, and automation utilization. * Creating compelling data visualizations that communicate end-to-end system performance and identify optimization opportunities. * Establishing robust data analysis frameworks and KPIs to quantify the impact of your solutions and evaluate tradeoffs between potentially contending goals. * Collaborating cross-functionally with engineering, operations, and business stakeholders to understand their needs, translate them into data-driven projects, and deliver impactful results. We're looking for an experienced, self-directed Data Scientist with a strong background in machine learning, data mining, and statistical analysis. You should have excellent problem-solving skills, the ability to work autonomously, and an enthusiasm for leveraging data to drive meaningful business outcomes. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040). Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecasting, planning systems and robust decision making on large networks, as well as uncertainty quantification, generative models on graphs and ml explainability, among others. We are looking for an Applied Scientist with a strong academic background in the areas of machine learning, time series forecasting, and/or optimization. At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history. About the team The EU ATS Science and Technology (SnT) team owns scalable algorithms, models and systems that improve customer experience in middle-mile. We work backwards from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable.

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. Amazon's evolution is driven by the spirit of innovation that is part of the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & Machine learning algorithm as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key job responsibilities Responsibilities: Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question Given a business problem, estimate solution feasibility and potential approaches based on available data Understand what data is available, where, and how to pull it together. Work with partner teams where needed to facilitate permissions and acquisition of required data Quickly prototype solutions and build models to test feasibility of solution approach Build statistical models/ ML models, train and test them to and drive towards the optimal level of model performance Improve existing processes with development and implementation of state of the art generative AI models Work with technology teams to integrate models by wrapping them as services that plug into Amazon's marketplace and fulfillment systems Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem The problem set covers aspects of detecting fraud and abuse, improving performance, driving lift and adoption, recommend the right upsell to the right audience, cost saving, selection economics and several others.

Are you a MS or PhD student interested in a 2025 Internship in the field of machine learning, deep learning, speech, computer vision, automated reasoning, optimization, or predictive modelling? If so, we want to hear from you! We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A day in the life At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain, UAE, and UK). Please note these are not remote internships.