Careers

Join Amazon's Customer Delivery Experience (CDE) Science Team as a Applied Scientist I to improve global logistics through data-driven modeling and analysis. Our team applies advanced machine learning and statistical techniques to enhance delivery experiences for millions of customers worldwide. Working collaboratively with Amazon's logistics operations teams, you will implement proven ML solutions and contribute to continuous improvements across our global fulfillment and delivery network. Key job responsibilities - Build and validate predictive models for delivery time estimation using historical delivery data, weather patterns, and traffic information - Implement models to identify delivery exceptions and risk factors using established ML frameworks - Partner with logistics operations teams to understand business requirements and translate them into modeling approaches - Document model methodologies, assumptions, and limitations for team knowledge sharing - Participate in code reviews and contribute to team best practices - Seek feedback from senior team members on proposed solution approaches and methodologies A day in the life The CDE Science Team values diverse perspectives and believes the best models come from teams with varied backgrounds and experiences. You'll have an assigned mentor from day one, regular 1:1s with your manager, and access to Amazon's ML University for continued learning. We support a healthy work-life balance and encourage you to invest in your professional growth through conference attendance and internal science forums. About the team The Customer Delivery Experience (CDE) Science Team combines advanced machine learning with transportation logistics expertise to optimize delivery operations at scale. You'll work alongside data scientists, machine learning engineers, and operations partners to solve complex logistics challenges that directly impact customer satisfaction.

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration. Key job responsibilities - Design and implement whole body control methods for balance, locomotion, and dexterous manipulation - Utilize state-of-the-art in methods in learned and model-based control - Create robust and safe behaviors for different terrains and tasks - Implement real-time controllers with stability guarantees - Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for loco-manipulation - Mentor junior engineer and scientists

About the Role In this role, you will own the science strategy and technical vision for this intelligence layer, leading a team of applied scientists working across GenAI and predictive modeling. You will shape how heterogeneous signals — text, behavioral, network, temporal — come together to power talent applications at Amazon scale, from workforce forecasting to personalized development to compensation strategy. You will identify opportunities where science investment can have material impact on long-term objectives or annual goals and build consensus around needed investments, working comfortably across different modeling paradigms and data modalities to guide principal and senior scientists in their most challenging and strategic decisions while serving as the strategic science advisor to PXT leaders operating at the Director, VP, and SVP levels. As a hands-on leader, you will personally own development and delivery of the most complex science problems at the intersection of multiple ML disciplines, stay current with emergent AI/ML science and engineering trends to influence focus areas in a rapidly evolving landscape, and participate in organizational planning, hiring, mentorship, and leadership development. Key job responsibilities • Lead technical initiatives in people science models, driving breakthrough approaches through hands-on research and development in areas like foundation models for predictive modeling, efficient multi-modal LLMs, and zero-shot learning • Design and implement novel ML architectures that push the boundaries of how workforce signals are represented, fused, and predicted at scale • Guide technical direction for research initiatives across the team, ensuring robust performance in production environments serving hundreds of thousands of employees • Mentor and develop senior scientists while maintaining strong individual technical contributions on the most complex cross-domain problems • Collaborate with engineering teams to optimize and scale models for real-world talent applications • Influence technical decisions and implementation strategies across teams, shaping the long-term platform architecture About the team The People eXperience and Technology (PXT) Core Science Team uses science, engineering, and customer-obsessed problem solving to proactively identify mechanisms, process improvements, and products that simultaneously improve Amazon and Amazonians' lives, wellbeing, and value of work. As an interdisciplinary team combining talents from machine learning, statistics, economics, behavioral science, engineering, and product development, the Core Science team develops and delivers measurable solutions through innovation and rapid prototyping to accelerate informed, accurate, and reliable decision-making backed by science and data.

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner. We are looking for an enthusiastic, customer obsessed, Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon. Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes. This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment. Responsibilities may include: - Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations - Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans - Managing multiple projects simultaneously - Working with technology teams and product managers to develop new tools and systems to support the growth of the business - Communicating with and supporting various internal stakeholders and external audiences

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to 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 200 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. The Insights team is looking for an Applied Scientist for our London office experienced in generative AI and large models. This is a wide impact role working with development teams across the UK, India, and the US. This greenfield project will deliver features that reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from your research. Our position offers opportunities to grow your technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement - Collaborate with software engineers to integrate successful experimental results into Prime Video wide processes - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports A day in the life You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems. About the team Our team owns Prime Video observability features for development teams. We consume PBs of data daily which feed into multiple observability features focussed on reducing the customer impact time.

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you are energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The Sponsored Products and Brands -- Offsite team builds solutions that extend campaigns beyond the Amazon store, reaching shoppers across third-party environments where they discover and shop. We combine large-scale, low-latency systems with advanced machine learning and AI to deliver high-quality sponsored experiences in high-intent surfaces. Key job responsibilities We are looking for an Applied Science Manager with a strong background in ML and GenAI solutions. You will contribute to goals carried by Amazon’s leadership team (S-Team). As an Applied Science Manager, you will: - Lead Applied Scientists, Machine Learning Engineers, and Software Development Engineers. - Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fit. - Develop science and engineering roadmaps to increase advertiser outcomes with ML and GenAI solutions, run annual planning, and foster cross-team collaboration on model development. - Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization. - Stay informed about recent scientific publications, industry trends, and system designs. - Work with off-Amazon publishers to launch new high-impact placements that increase advertiser outcomes. - Develop and own mechanisms to track and improve advertiser performance. - Distill complex ideas complex thoughts, succinctly, adapting to the medium of communication.

Amazon Operations Technology is looking for an experienced Applied Scientist II to join our Orchestration team in Austin. In this role, you will tackle complex problems and develop scalable, high-performing solutions that require minimal long-term maintenance. Our team spans all global core services and infrastructure within the Operations Technology space — our systems support continuous deployment to over 200,000 devices globally. Key job responsibilities - Partner with Systems Engineers, Network Engineers, and Software Engineers globally to research, design, and deploy machine learning models and data-driven solutions that improve efficiency across our Fulfillment Centers and Transportation Sites. - Work with a wide variety of datasets, ML frameworks, and research methodologies — spanning third-party platforms, open-source tooling, and proprietary Amazon systems — to develop and validate scientific approaches to complex operational problems. - Technicians and Engineers worldwide will look to you for scientific guidance, analytical insights, and innovative modeling solutions to problems that are truly unique to Amazon's scale and operations. - We value rigor, reproducibility, simplicity, and scalability in our science — your solutions should be well-grounded in research and built to perform reliably in production environments. - In your day-to-day work, you will focus on developing and applying predictive models, optimization algorithms, and intelligent automation to enable our business to scale effectively with growing customer demand. 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: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 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 The CIA Orchestration team provides a user-friendly, auditable mechanism for network operators to manage provisioning, configuration, life-cycling, and policy management across network devices. Through Campaign Manager, operators can plan and execute large-scale workflow campaigns — covering firmware upgrades and configuration updates across specific device layers or regions — using wave-based deployment to reduce blast radius and ensure controlled rollouts. Guided by a Safety over Speed principle, we prioritize availability-safe deployments backed by continuous validation and customer-driven innovation.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! The Prime Video Title Lifecycle Presentation team sits at the intersection of science, experimentation, and customer experience. We leverage data signals and rigorous testing to present the most engaging information about our content to customers at precisely the right moment. Our mission is to ensure every customer interaction with Prime Video content is informed, relevant, and compelling in order to drive discovery and engagement across our vast catalog. We're seeking an Applied Scientist who excels at building sophisticated machine learning systems for content presentation and discovery. The ideal candidate brings deep expertise in: - Multi-modal embeddings for rich metadata representation, enabling nuanced understanding of content attributes and customer preferences - Contextualized ranking systems that adapt to customer intent, viewing context, and real-time signals - Reinforcement learning frameworks that create continuous improvement loops, allowing our systems to learn and optimize from customer interactions over time - General modeling techniques with strong fundamentals in machine learning and statistical methods - Recommender systems experience, with proven ability to build and scale personalization solutions You'll work with cutting-edge technology to solve complex problems in content discovery, leveraging large-scale data to create experiences that delight millions of Prime Video customers worldwide. Key job responsibilities As an Applied Scientist, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept. We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

The AURORA: Alexa Understanding, Runtime, ORchestration, and Applied sciences org is looking for an Applied Science Manager with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of Applied Scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and global impact. You will interact with a cross-functional team of Science, Product, and Engineering leaders. We are looking for an Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants. Core Leadership & Team Management * Lead and manage applied scientists working on conversational AI capabilities across the full Alexa+ agent execution path * Build and develop high-performing science teams focused on understanding, reasoning, evaluation, and runtime systems * Foster cross-functional collaboration between science and engineering teams to deliver both customer-facing (CX) and developer-facing (DX) experiences Platform & Innovation * Develop modular, reusable platforms that enable 1P and 3P engineers and scientists to accelerate innovation * Transform how builders create conversational AI solutions at scale * Drive evaluation tooling and assessment frameworks to measure conversational experience quality Cross-Organizational Collaboration * Partner with teams across the organization to align goals and accelerate delivery * Navigate organizational changes and simplify interactions between components and teams * Establish clear communication channels and workflows across reporting lines Strategic Impact * Contribute to the team's mission of being the "AI runtime backbone and horizontal intelligence team" for Alexa * Balance advancing research with delivering robust, scalable production solutions * Drive both innovation velocity and operational excellence simultaneously Key job responsibilities * Lead and manage a team of Applied and Data scientists responsible for building and enhancing capabilities for Alexa+ * Collaborate with cross-functional teams to build methods to align Amazon’s LLMs with human preferences. * Identify and prioritize research opportunities that have the potential to significantly impact our AI systems. * Mentor and guide team members to achieve their career goals and objectives. * Communicate research findings and progress to senior leadership and stakeholders. * Rapidly experiment and drive productisation to deliver customer impact. * Drive academic partnership with top tier Indian university as part of the org’s AI/ML Center initiative. * Participate in and drive science publications in peer-reviewed venues of repute. About the team Aurora is the AI runtime backbone and horizontal intelligence team that powers Alexa's core infrastructure, AI capabilities, and specialized conversational models. We revolutionize conversational AI through three core pillars: architecting mission-critical AI runtime systems, advancing science solutions that connect key conversational capabilities, and transforming how builders create at scale. We empower 1P and 3P engineers and scientists worldwide with modular, reusable platforms that accelerate innovation—while delivering accurate, responsive, and reliable conversational experiences to millions of end-users through operational excellence at scale.

You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness. Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities * Evaluate and optimize thermal solution requirements of consumer electronic products * Use simulation tools like Star-CCM+ or FloTherm XT/EFD for analysis and design of products * Validate design modifications for thermal concerns using simulation and actual prototypes * Establish temperature thresholds for user comfort level and component level considering reliability requirements * Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues * Use of programming languages like Python and Matlab for analytical/statistical analyses and automation * Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives * Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins * Create and present analytical and experimental results * Develop and apply design guidelines based on project learnings