Careers

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of cutting-edge algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities. As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team

IN Consumer BI Reporting and Analytics (COBRA) team is looking for a highly driven, customer-obsessed Data Scientist who will be responsible for scaling Insights & Science charter across Category & Seller orgs and enable effective business decision making across IN Stores. You’ll analyze large amounts of data, discover and solve real world problems, build science-driven solutions around key projects and, most of all, be an integral part of creating a better customer and seller experience. We are looking for customer obsessed, data driven entrepreneurs to join our growing team and solve some of the hardest problems for our customers. If you want operate at start up speed, solve some of the hardest problems and build a service which customers love, this role might just be the place for you. The Data Scientist is responsible for unlocking business value across IN Stores through advanced analytics (ML, Science/Statistics). The Data Scientist's responsibilities include, but are not limited to the following points: -Collaborate with business stakeholders and product/program managers to innovate on behalf of customers leveraging data science methodologies, and partner with Data engineers and BiE's to design, develop, and scale machine learning models -Use computational methods to identify relationships between business data and outcomes, define outliers and anomalies, and justify those outcomes to business customers -Develop code to analyze data (SQL, PySpark, Scala, etc.) and build statistical and machine learning models and algorithms -Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers -End-to-end ownership of operational and technical aspects of the insights you are building for the business, and play a critical role in enabling science based decision making for business - Have excellent business and communication skills to be able to work with business owners to develop and define key business questions and build mechanisms that answer those questions

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

Are you interested in applying your technical skills to address customer impacting problems at Amazon’s large scale? Are you interested in driving the development of methods, models and systems for state-of-the-art transportation and fulfillment systems? We are looking for a versatile scientist has research and software development experience. In this role, your tasks may vary day to day depending on evolving needs. The ideal candidate should be able to switch context and contribute to the need of the hour. If this sounds interesting to you and how you like to work then this is the job for you. At Amazon, our team is responsible for developing an in-depth understanding of our current fulfillment network and designing our future networks. We belong to the primary science organization in Amazon Operations that works on a variety of strategic problems in key areas including but not limited to inbound, outbound, inventory placement, air and ground transportation. As an engineering team embedded within a science organization, our team’s interests are exceptionally broad in nature impacting the design and evolution of Amazon’s global supply chain. As a Sr. Applied Scientist in our team, you will work as a liaison between our engineers and scientists within and outside of our organization and Amazon’s business teams to drive our vision forward by designing and influencing the next generation of software systems for order fulfillment. A few of our active projects where you will play a key role include - simulation of Amazon’s inbound and outbound systems to experiment with new design ideas and optimizing inventory placement across Amazon’s fulfillment network to reduce costs. As a Sr. Applied Scientist, you will work closely with research scientists, applied scientists, and software engineers to define the vision of key order fulfillment systems and prototype the promising ideas. You will also contribute towards a range of interactive web-based tools that our team has developed to visualize key operations metrics at large scale to ensure that our supply chain stays healthy at all times. In this role, you will get a unique opportunity to work closely with both business and technical teams while building software systems entirely on native AWS using services such as Lambda, API Gateway, S3, SageMaker, Kinesis, Fargate, Redshift, DynamoDB, SNS, SQS, Athena, AppSync and QuickSight. A successful candidate will have an established background in learning, researching, presenting and developing new ideas with high customer impact in a fast-paced environment. They will also be skilled in deriving actionable insights from Big Data through use of statistics, AI/ML powered technical solutions and other analytical techniques. They should also have knowledge and experience in different optimization methods, discrete-event simulations, and control. About the team Our team is a mix of software development engineers and data engineers who work closely with research scientists and applied scientists on a variety of strategic projects. We also partner with various business teams within Amazon Operations to deliver tactical value from our business insights.

Amazon's Global Talent Management and Compensation (GTMC) Center for Applied Science and Economics (CASE) builds science models supporting employee career-related experiences such as their evaluation, learning and development, onboarding, and promotion for Amazonians. Additionally, the team conducts experiments for a wide range of employee and talent-related product features, and measures the impact of product and program initiatives in enhancing our employees' career experiences at Amazon. Amazon's GTMC team is looking for Economists who are highly specialized in the field of macroeconomics and time series forecasting. The economist will enhance science models by enabling them to adapt to external talent dynamics, enabling personalized, consistent, and high-impact employee experiences across the talent lifecycle. This will make the models more responsive to evolving market conditions and enhance the alignment of Amazon-wide talent strategies with team and organization-specific strategic objectives. Key job responsibilities The Economists within GTMC will be primarily involved in building advanced forecasting and time series models that account for the nuances of aggregate econometric modeling within the HR space. This includes modeling the inter-relationship of various talent outcomes, as well as scenario planning and modeling tasks to quantify the implications of external macro as well as industry-level shocks on key HR talent outcomes. The economists will closely collaborate with a range of scientists from different backgrounds, as well as program and product leaders, to implement and assess the science solutions into the company's products.

Are you passionate about transforming the digital reading and publishing landscape? 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.

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! As an Applied Science Manager in Machine Learning, you will: - Directly manage and lead a cross-functional team of Applied Scientists, Data Scientists, Economists, and Business Intelligence Engineers. - Develop and manage a research agenda that balances short term deliverables with measurable business impact as well as long term investments. - Lead marketplace design and development based on economic theory and data analysis. - Provide technical and scientific guidance to team members. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment - Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner. - Develop science and engineering roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects. - Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management. - Collaborate with business and software teams across Amazon Ads. - Stay up to date with recent scientific publications relevant to the team. - Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video ~ https://youtu.be/zD_6Lzw8raE

The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon’s own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon. This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities - Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch. For example, starting from deep scientific thinking about new ways to support customers’ journeys through discovery, you analyze how customers discover, review and purchase Private Brands to innovate marketing and merchandising strategies. - Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and eventually preliminary results. - Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions. - Present results, reports, and data insights to both technical and business leadership. - Constructively critique peer research and mentor junior scientists and engineers. - Innovate and contribute to Amazon’s science community and external research communities.

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development. We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you. Key job responsibilities - You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams. - You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills. - You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. - You will design and implement scalable solutions and solve complex problems - You will mentor and coach junior software developers - You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment - You should be a self-starter with a bias towards independent problem solving. 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! About the team Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch. Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! Key job responsibilities We seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.