Careers

Amazon Advertising is looking for a Data Scientist to join its brand new initiative that powers Amazon’s contextual advertising products. Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety, Contextual data processing and classification. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. We are looking for a dynamic, innovative and accomplished Data Scientist to work on data science initiatives for contextual data processing and classification that power our contextual advertising solutions. Are you an experienced user of sophisticated analytical techniques that can be applied to answer business questions and chart a sustainable vision? Are you exited by the prospect of communicating insights and recommendations to audiences of varying levels of technical sophistication? Above all, are you an innovator at heart and have a track record of resolving ambiguity to deliver result? As a data scientist, you help our data science team build cutting edge models and measurement solutions to power our contextual classification technology. As this is a new initiative, you will get an opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, define metrics, conceptualize and build algorithms and collaborate with multiple cross-functional teams. Key job responsibilities * Define a long-term science vision for contextual-classification tech, driven fundamentally from the needs of our advertisers and publishers, translating that direction into specific plans for the science team. Interpret complex and interrelated data points and anecdotes to build and communicate this vision. * Collaborate with software engineering teams to Identify and implement elegant statistical and machine learning solutions * Oversee the design, development, and implementation of production level code that handles billions of ad requests. Own the full development cycle: idea, design, prototype, impact assessment, A/B testing (including interpretation of results) and production deployment. * Promote the culture of experimentation and applied science at Amazon. * Demonstrated ability to meet deadlines while managing multiple projects. * Excellent communication and presentation skills working with multiple peer groups and different levels of management * Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles. We are open to hiring candidates to work out of one of the following locations: London, GBR

Ops Integration: Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences We are the voice of the customer in Amazon’s operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the Future: leveraging Internet of Things (IoT) and advanced analytics to drive tangible, operational change on the ground. You will collaborate with a wide range of stakeholders (You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers and Business Leaders) across the business to develop and refine new ways of assessing challenges within Amazon operations. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver business change at scale and efficiently The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast-paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multi-disciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded. Key job responsibilities Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will develop complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development. Common tasks include: • Research, design, implement and evaluate complex perception and decision making algorithms integrating across multiple disciplines • Work closely with software engineering teams to drive scalable, real-time implementations • Collaborate closely with team members on developing systems from prototyping to production level • Collaborate with teams spread all over the world • Track general business activity and provide clear, compelling management reports on a regular basis Basic Qualifications -Masters in Computer Science, Machine Learning, Robotics or equivalent with a focus on Computer Vision. -2+ years of experience of building machine learning models for business application -Broad knowledge of fundamentals and state of the art in computer vision and machine learning -Strong coding skills in two or more programming languages such as Python or C/C++ -Knowledge of fundamentals in optimization, supervised and reinforcement learning -Excellent problem-solving ability Preferred Qualifications -PhD and 4+ years of industry or academic applied research experience applying Computer Vision techniques and developing Computer vision algorithms -Depth and breadth in state-of-the-art computer vision and machine learning technologies and experience designing and building computer vision solutions -Industry experience in sensor systems and the development of production computer vision and machine learning applications built to use them -Experience developing software interfacing to AWS services -Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences -Ability to work on a diverse team or with a diverse range of coworkers -Experience in publishing at major Computer Vision, ML or Robotics conferences or Journals (CVPR, ICCV, ECCV, NeurIPS, ICML, IJCV, ICRA, IROS, RSS,...) We are open to hiring candidates to work out of one of the following locations: London, GBR

This role is available across multiple locations (United Kingdom, Germany, Luxembourg, Italy, Spain and France). Amazon Internships have start dates throughout the year and can vary in length from 3-6 months for full-time. Please note these are not remote internships. Are you a MS or PhD student interested in a 2024 Internship in Data Science? We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment, building and deploying machine learning models to drive step-change innovation and scale it to the EU/worldwide. If this describes you, come and join our Data Science teams at Amazon for an exciting internship opportunity. If you are insatiably curious and always want to learn more, then you’ve come to the right place. Key job responsibilities As a Data Science Intern, you will have following key job responsibilities: * Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems. * Work on an interdisciplinary team on customer-obsessed research * Experience Amazon's customer-focused culture * Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide * Build and deploy Machine Learning models using large data-sets and cloud technology. * Create and share with audiences of varying levels technical papers and presentations * Define metrics and design algorithms to estimate customer satisfaction and engagement For more information on the Amazon Science community please visit the Science hub page: https://www.amazon.science/ For more information on the Amazon Science internship program in EMEA please visit this page: https://amazonscienceopportunitiesemea.splashthat.com/ We are open to hiring candidates to work out of one of the following locations: London, GBR

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique possibility to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer. You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing efficient computer vision algorithms on resource-constrained computing platforms on edge. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities * Research and implement the state-of-the-art computer vision and sensor fusion algorithms for resource-constrained computing platforms on a large scale. * Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices * Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR

This role is available across multiple locations (United Kingdom, Luxembourg, Italy, Spain, Austria, Ireland, Poland and France). Amazon Internships have start dates throughout the year and can vary in length from 3-6 months for full-time. Please note these are not remote internships. Are you a MS or PhD student interested in a 2024 Internship in the field of Applied Sciences? Are you interested in machine learning, deep learning, automated reasoning, speech, robotics, computer vision, optimization, or quantum computing? If so, we want to hear from you! We are looking for scientists with interest in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. 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. For more information on the Amazon Science community please visit the Science hub page: https://www.amazon.science/ For more information on the Amazon Science internship program in EMEA please visit this page: https://amazonscienceopportunitiesemea.splashthat.com/ 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 technical 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 scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR | Edinburgh, MLN, GBR | London, GBR

Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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 Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related. As a Human-in-the-Loop Applied Scientist you will be part of a close-knit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who are adept at a variety of skills, especially at the interface of how users can use state-of-the-art generative music and audio, computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge research to raise the bar within the team. As an Human-in-the-loop Applied Scientist on this team, you will: - Drive the invention and development of novel interfaces for the use of Generative AI methods - Work closely and integrate end-to-end proof-of-concept Machine Learning projects that have a high degree of ambiguity, scale and complexity. - Build interface-oriented systems that use Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Perform hands-on analysis and modeling of HCI experiments with human-in-the-loop that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Mentor and help recruit Applied Scientists to the team. - Present results and explain methods to senior leadership. - Willingness to publish research at internal and external top scientific venues. - Write and pursue IP submissions. Key job responsibilities This role is focused on developing human-in-the-loop interfaces and the Machine Learning and Generative AI methods to augment generative imagery and videos. You will develop new interface paradigms that will impact how users can engage and benefit from GenAI and that are at the core of advertising-facing tools that we are launching. You will also work on development of ML and GenAI models. You will conduct literature reviews to stay on the cutting edge of the field. You will regularly engage with product managers, who will partner with you to productize your work. A day in the life On a day-to-day basis, you will be doing your independent research and work to develop models, you will participate in sprint planning, collaborative sessions with your peers, and demo new models and share results with peers, other partner teams and leadership. About the team The team is a growing team of applied scientists and product leaders. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads. We are open to hiring candidates to work out of one of the following locations: UK (London, Bristol, Edinburgh), USA (Seattle, CA). We are open to hiring candidates to work out of one of the following locations: London, GBR

Embrace the challenge and accelerate your growth with Amazon’s International Public Policy team. Like our business interests, our policy issues are broad, forward-thinking, and driven by what is best for our customers. The International Public Policy team works with a wide range of national, local, and supranational policymakers, industry organizations, NGOs and academia across regulatory and policy issues, spanning the consumer and commercial environment, including but not limited to digital policy, consumer policy, economic policy, privacy, intellectual property, logistics and tax policy. We are looking for a Principal Economist to kick start our Economics-Policy team in Europe and who is able to shape the regulatory debate inside and outside of Amazon. They will produce and direct teams of researchers to produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon. They will work in close coordination with public policy teams across Europe to engage with policymakers, regulators, and relevant industry organizations to advance Amazon’s policy priorities in these areas. The position will also work collaboratively with senior business leadership, legal, and PR to ensure alignment on the advocacy agenda and priorities for Amazon’s engagement. We are open to hiring candidates to work out of one of the following locations: London, GBR

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of pounds annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting Recommendations/Personalization position in the industry. Are you passionate about working on disruptive ideas? Are you obsessed with finding and building the most innovative and customer-friendly user experiences? Have you built and launched new experiences that impact shoppers all around the world? This is a unique opportunity that combines the ability to build exciting, new user experiences for Amazon's customers, with the opportunity to work with Big Data, Machine Learning, and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon's customers. More about the role: Our organization is growing our focus on the shopping experience for health & personal care, groceries, and other nascent product categories. We are responsible for one of the largest and fastest-growing businesses in the company, and are seeking an applied science manager to build a team of world-class software engineers and scientists that will deliver on an Amazon-critical charter. This team will need to deliver experiences that delight customers and create long-term value for the company. This role requires outstanding technical skills, a deep understanding of machine learning approaches, and a passion for melding ML with great user experience/design. You must have a demonstrated ability for optimizing, developing, launching, and maintaining large-scale production systems. As a key member of the team, you will oversee all aspects of the software lifecycle: design, experimentation, implementation, and testing. You should be willing to dive deep when needed, move rapidly with a bias for action, and get things done. You should have an entrepreneurial spirit, love autonomy, know how to deliver, and long for the opportunity to build pioneering solutions to challenging problems. This role will demand resourcefulness and willingness to learn on both the technical and business side. The challenges we take on can involve a mix of large-scale distributed systems, big data technologies, machine learning science, and require a keen sense of customer obsession and long-term strategic thinking. About you: You're a former engineer or scientist who can see the bigger picture. While your career is full of individual wins, it is now more fulfilling when your team is able to build, deliver, and impress. You enjoy leading and mentoring others, and want to work on projects that require innovative and creative thinking alongside deep technical problem solving. You challenge yourself and others to constantly come up with better solutions, and can deliver on a technical roadmap that serves our customers and the business optimally. You communicate clearly, and hold yourself and your team to a high bar. As an Applied Science Manager, you will be responsible for ensuring your team successfully delivers on design, development, testing, experimentation, and the operations of algorithms, datasets, and systems your team owns. You should have an established track record of launching customer-facing experiences, deep technical ability, and excellent project management and communication skills. This role requires working closely with product management to define strategy and requirements, and leading a development team from design through delivery and subsequent operation. This position will also require regular communication with senior management on status, risks, and strategy. About our organization: Amazon’s Personalization organization is a small, high-performing group that leverages Amazon’s expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. We work end-to-end, from foundational backend systems to future-forward user interfaces. Our team’s culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We run hundreds of experiments each year and our work has revolutionized e-commerce with features such as “Customers Who Bought Also Bought” and “Recommended for You”. We care deeply about our customers, as well as the well-being and growth of our team members. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow. This is a track record we are proud of and will continue to uphold. We are looking for creative and innovative leaders with a similar penchant for deeply-technical problem solving and the ability to lead, mentor, and deliver while upholding Amazon’s leadership principles. We are open to hiring candidates to work out of one of the following locations: Edinburgh, MLN, GBR

Amazon Advertising is looking for an Applied Science Manager to lead a brand new initiative that powers Amazon’s contextual advertising product. Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies.The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety, Contextual data processing and classification, and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. We are looking for a dynamic, innovative and accomplished Applied Science Manager to lead machine learning and data science initiatives for contextual data processing and classification that power our contextual advertising solutions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own business problems/metrics of high ambiguity where yo get to define the path forward for success of a new initiative? As an Applied Sciences Manager for Contextual Signals, you will lead a team of applied scientists, data scientists and engineers. You will have a high level of comfort with ambiguity, a deeply analytical mindset with the ability to investigate complex challenges, and can effectively influence across organizations. You work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms that will enhance the efficiency of contextual advertising products by working with cross-functional teams. Key job responsibilities > Develop vision, charter and long term strategy for the Applied science solutions to enhance critical parts of contextual ads product. > Use machine learning and statistical techniques to create new, scalable solutions > Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap > Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation > Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group > Build a culture of innovation and long-term thinking, and showcase this via peer-reviewed publications and whitepapers > Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production > Keep updated on the industry landscape in contextual advertising space and identify algorithm investments to achieve an industry leading solutions. > Learn continuously about new developments in machine learning and AI. Identify how these can be rolled into building an industry leading solutions for Amazon advertising We are open to hiring candidates to work out of one of the following locations: London, GBR