Amazon.com Services LLC

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. Key Responsibilities and Job Elements: - Support, mentor, and motivate your hourly workforce - Manage safety, quality, productivity, and customer delivery promises - Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives - Lift up to 49 pounds and frequently push, pull, squat, bend, and reach - Stand/walk for up to 12 hours during shifts - Work in an environment where the noise level varies and can be loud - Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments) - Continuously climb and descend stairs (applies to sites with stairs) Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings. BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.This role is a 6 month co-op from July - December 2025. The Supply Chain team is seeking Spring 2025 Co-Op's with interest in supply chain purchasing, logistics, planning, procurement, and process improvement/data analyst. The successful candidate for this position will have a high sense of urgency, the ability to work cross functionally, and the desire to improve the outcome for our customers.Key job responsibilities• Developing an understanding of our Supply Chain and Systems and Tools processes and identify targets for improvement in transactional and operations efficiencies• Supporting the execution of supply chain cost/lead time, safety stock, procurement, planning, warehousing/logistics, and/or new product introduction programs, including the exploration of opportunities across multiple Amazon business units• Leading projects to automate our cross-functional processes between Supply Chain, Finance, Operations, Deployment, and Engineering• Developing processes and mechanisms related to expanding capacity and programs in our Robotics Operations Center of Excellence• Developing efficient and accurate metrics and mechanisms for measuring and reporting supply chain performance. Support the introduction of new software/tools/dashboards• Actively support and foster a culture of inclusionA day in the lifeThe Supply Chain Co-Op works within the Supply Chain organization to support the development of business processes for the Supply Chain Planning, Strategic Sourcing, Logistics, and Systems and Tools teams. The Co-Op should have a good understanding of supply chain, operations, finance, and general business practices.About the teamThe Amazon Robotics Operations and Supply Chain organization sources and manufactures a portfolio of robotics technology and is responsible for getting the right materials to the right place at the right time to support our network of global fulfillment and transportation solutions. It’s an operation that works cross-functionally with teams across Amazon globally, and is driven by data and metrics. BASIC QUALIFICATIONS* Currently pursuing a Bachelor’s or Master’s in field of Operations, Supply Chain Management, Engineering Management, Industrial Engineering, or related field* Currently enrolled in college/university and must have at least one semester/term/quarter of school left to complete after the end of the co-op* May 2026 graduation date or later* Must be eligible and available for a full-time (40h / week) co-op from July - December 2025 ...

We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.As an Applied Scientist, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by automatically generating relevant content and building a whole page experience that is coherent, dynamic, and interesting. You will improve ranking and optimization in our algorithm. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.You are going to love this job because you will:* Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning and Reinforcement Learning, to improve hundreds of millions of customers’ shopping experience.* Have measurable business impact using A/B testing.* Work in a dynamic team that provides continuous opportunities for learning and growth.* Work with leaders in the field of machine learning.Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading internet companies. We provide a highly customer-centric, team-oriented environment.A successful candidate will have a solid research background in machine learning and reinforcement learning algorithms, customer obsession, great communication skills, and the motivation to achieve results in a fast-paced environment.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Key job responsibilitiesWe are seeking an enthusiastic Data Scientist to:- Design and implement state-of-the-art solutions for never-before-solved problems. - Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience. - Partner with technology and product leaders to solve business problems using scientific approaches. - Build new tools and invent business insights that surprise and delight our customers. - Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes. - Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors. - Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.A day in the lifeAs a member of the Software Research and Data Science (SWRDS) team, there are multiple different paths you can take. For example, you may conduct deep dive analysis of both structured and unstructured robotics field analyses. Some of our team members focus on modeling, pipelines and tooling work, while others focus more on analytic work. We also have team members working on early-concept solution analysis (leveraging simulations, ML-based models, experimenting with new solutions). About the teamThe Amazon Robotics Software Research and Data Science (SWRDS) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire Amazon Robotics system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.BASIC QUALIFICATIONS- Master's degree or higher in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience- 1+ year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related field- 1+ year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) ...

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs part of the AGI team, an Applied Scientist will 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. An Applied Scientist will also 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. A day in the lifeAn Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable and high-performance products that require exceptional technical expertise, and a sound understanding of Machine Learning.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with Large Language Models (LLMs) or multimodal architectures ...

The Applied Scientist in Natural language processing (NLP) within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing conversational AI systems based on large pretrained language models, that can understand and communicate with customers in a natural and contextually appropriate manner. This involves tackling complex problems in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model.Key job responsibilities- Lead the research and development of LLM-based chatbots and conversational AI systems for customer service applications.- Design and implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment.- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.- Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.- Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.- Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.- Collaborate with internal and external research communities, participate in conferences and publications, and contribute to the advancement of the field.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environmentIf 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!Benefits Summary: 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) PlanAbout the teamJoin our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- 3+ years of building machine learning models or developing algorithms for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) ...

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to push the boundaries of what's possible in robotic intelligence. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, scence understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between cutting-edge research and real-world deployment at Amazon scale.In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.Key job responsibilities- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish- Drive independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization- Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments- Collaborate with platform teams to optimize and scale models for real-world applications- Contribute to the team's technical strategy and help shape our approach to next-generation robotics challengesA day in the life- Design and implement novel foundation model architectures, leveraging our extensive compute infrastructure to train and evaluate at scale- Collaborate with our world-class research team to solve complex technical challenges- Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems- Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists- Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applicationsAmazon 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 teamAt Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through groundbreaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.BASIC QUALIFICATIONS- PhD in computer science, machine learning, engineering, or related fields- Experience programming in Java, C++, Python or related language- Publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL)- Experience developing and implementing deep learning models- Strong programming skills in Python and PyTorch/JAX- Track record of solving complex technical problems ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We are a part of Amazon Alexa Devices organization with the mission “delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden”. We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions.Key job responsibilitiesAs an Applied Scientist on the team, you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.BASIC QUALIFICATIONS- PhD, or Master's degree and 3+ years of building machine learning models for business application experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Advertising is one of the fastest growing areas at Amazon. Our Ad Tech suite of products — including Amazon DSP (ADSP), Amazon Marketing Cloud (AMC) and Amazon Ads APIs — allow our customers to leverage Amazon's unique media, audience, and e-commerce assets to drive meaningful results for their business.Ad Tech Solutions (ATS) is the technical solutions arm of our ad tech sales organization. ATS’ charter is to help our largest customers achieve their business outcomes with Amazon's Ad Tech, building on our APIs and AWS services. ATS is seeking a Technical Consultant to join our US practice. You will help customers to achieve their business outcomes by solving technical challenges related to conversion tracking, first party data uploads, API development, AMC SQL query customization, and building custom audiences. You will work closely with our Ad Tech Account Executives to accelerate customer adoption of DSP and AMC to increase their advertising ROI and drive more investment. You will help Data Analysts, Data Scientists, IT Analysts, and Developers in our customer organizations solve complex technical challenges so that their agency or brand can make better strategic advertising and data decisions. You will be able to assess and adapt our customers’ SQL skills to maximize their time and value in using our products. You’ll drive technical solutions discussions, diving deep into the details with customer teams. You’ll lead customer-tailored engagements, demonstrating the integrated value of AMC and DSP in combination with their AWS technology investments. You’ll also act as a technical thought leader in the ad tech community. This includes playing a lead role in educating, sharing best practices, writing white papers, and running "Working Backwards" sessions with customers. As a customer-obsessed advisor, you’ll also have the chance to shape the direction of our ad tech products and services by gathering feedback from customers and collaborating with our engineering and service teams.Key job responsibilities- In partnership with the ad tech sales team, educate customers on the value proposition of Amazon’s Ad Tech Suite and participate in deep technical discussions and design exercises to create world-class solutions built on Amazon’s Ad Tech and AWS platforms. - Lead data and analytics discussions and design customer workshops to become an expert on our customer’s technical needs and business goals.- Drive usage and adoption. Your customer engagements will result in our customers generating valuable insights that they can use to make smarter investments on – and off – Amazon media properties. You will continuously monitor the inputs you drive to measure the output of activation.- Be a customer advocate. You will take your learnings from customer engagements and work with Advertising engineering teams as input into integration and ad technology roadmaps.- Contribute to the creation and delivery of best practices, packaged offerings, certification paths, white papers, and workshops. - This is a customer facing role within the US region. You will be required to travel to client locations to deliver when needed.BASIC QUALIFICATIONS- Bachelor's degree, or 5+ years of professional or military experience- 5+ years of technical specialist, design and architecture experience- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience- 5+ years of consulting, design and implementation of serverless distributed solutions experience- 3+ years of software development with object oriented language experience- 3+ years of cloud and on-premise integration experience- 3+ years of integration, testing and automation experience- 3+ years of continuous integration and continuous delivery (CI/CD) experience- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience- 5+ years of external or internal customer facing, complex and large scale project management experience ...

Please note the following eligibility requirements to apply for this role:• Graduate from bachelor's degree program between 12/2024 and 6/2025, or graduated from bachelor’s degree program within past 24 months.• Ability to relocate nationwide. Relocation assistance provided, if eligible.• Ability to begin 40-hour/week, full-time employment in June 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit https://amazonundergradstudent.splashthat.com.Job summary Amazon is looking for smart, analytical, and customer-obsessed undergraduates to help build a world-class shopping experience and serve as the leadership pipeline for our rapidly growing global retail business. This role provides an ideal start to a dynamic career path at Amazon for an ambitious candidate who is eager to drive a business. The ideal candidate will be ambitious, an effective communicator, and problem-solver. In this role, you will be driving the business results of your vendors and product subcategories. Your direct responsibility will be to manage performance of a product portfolio. Day-to-day tasks may include developing and growing vendor relationships, negotiating contracts, determining promotional strategy, developing marketing programs, inventory management, product launches, and conducting detailed analyses to identify growth opportunities driving sales and margin improvements -among other initiatives. You will also create best-in-class customer experiences, and play a critical role in managing strategic and established brands to drive profitability and topline performance for your category. The Customer Success Manager career path offers the opportunity for advancement into a variety of leadership roles including marketing/merchandising, vendor management, product management, and inventory management. BASIC QUALIFICATIONS• Experience with Microsoft Excel• Experience analyzing data and best practices to assess performance drivers• Currently enrolled in a bachelor’s degree program with a graduation conferral date between December 2024 and June 2025, or graduated from a bachelor’s degree program in the past 24 months ...

At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations. The OTS DataTech team drives enterprise data strategy and support across OTS. Our charter encompasses OTS-wide efforts, including Data as a Product (DaaP), enterprise data infrastructure, AI/ML capability, and supporting specific business-critical programs, fueling innovation and automation for OTS.We are looking for a passionate, talented, and innovative Applied Scientist with a background in developing and implementing state-of-the-art machine learning solutions within the realms of supervised and unsupervised learning, Generative AI (GenAI), and optimization. Key job responsibilitiesIn this role, you will play a pivotal role in shaping the vision, roadmap, design, development, and implementation of science based solutions from beginning to end. - You will contribute to building and maintaining an MLOps Platform that will support end-to-end scientific operations for a wide range of AI/ML use cases. You will be responsible for the seamless integration of scientific products with existing systems, ultimately leading to increased operational efficiency and productivity across OTS. - You will also have the opportunity to leverage our foundational GenAI platform to help OTS customers build GenAI applications for their use cases.- You will be closely partnering with a cross-functional team of stakeholders including with Applied Scientists, Data Scientists, Machine Learning Engineers, Data Engineers, Product Managers, and Technical Program Managers.Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!A day in the lifeAmazon 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!BASIC QUALIFICATIONS- MS or PhD in quantitative field (CS, CE, ML preferred) or equivalent relevant work Strong background in machine learning, including supervised and unsupervised learning algorithms.- Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers.- Knowledge of Generative AI and its applications.- Proficiency in programming languages such as Python, Java, or C++.- Strong communication skills, both written and verbal. ...

Does the thought of improving one of the world’s most complex logistic systems inspire you? Is your passion to sift through hundreds of systems, processes, and data sources to solve the puzzle and identify the next big opportunity? Are you a creative big thinker who is passionate about using data to direct decision making and solve complex and large-scale challenges? Are you fascinated by the interactions between operations and strategy? Do you feel like your skills uniquely qualify you to bridge communication between teams with competing priorities? If so, then this position is for you! Come help Amazon create cutting-edge science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the “magic” of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Same Day, Amazon Grocery, Lockers, and other new initiatives across the world. In this role, your main focus will be to build algorithms, synthesize information, identify business opportunities, provide research direction, provide data-driven insights and communicate business and technical requirements within the team and across stakeholder groups. You will partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting portfolio of research areas including vehicle routing, planning for electric and autonomous vehicles, district and stops planning, ultra-fast deliveries, fleet planning, and forecasting solutions for different delivery programs leveraging the latest OR, ML, and Generative AI methods, at a global scale. We are actively looking to hire scientists to lead one or more of these problem spaces. Successful candidates will have a deep knowledge of Operations Research and/or Machine/Deep Learning methods, experience in applying these methods to large-scale business problems, the ability to map models into production-worthy code in Python or Java, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big research challenges.Mentorship & Career GrowthWe care about your career growth! Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.Key job responsibilities* Invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives.* Successfully deliver large or critical solutions to complex problems in the support of medium-to-large business goals.* Influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty.* Apply mathematical optimization techniques, and/or machine/Gen-AI learning models to design solution methodologies to be used by in-house decision support tools and software.* Research, prototype, simulate, and experiment with these models and participate in the production level deployment in Python or Java.* Make insightful contributions to teams' roadmaps, goals, priorities, and approach. * Actively engage with the internal and external scientific communities by publishing scientific articles and participating in research conferences.BASIC QUALIFICATIONS- 2+ years of programming in Java, C++, Python or related language experience- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience- Experience building machine learning models or developing algorithms for business application- 2+ years of hand-on experience in applying optimization methods for business application ...

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable, cutting-edge solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues.As an Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences.Key job responsibilities- Develop ML/GenAI-powered solutions for automating defect elimination workflows- Implement scalable and efficient scientific solutions in production environments- Design and implement robust metrics to evaluate the effectiveness of ML/AI models- Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationA day in the lifeAmazon 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) PlanIf 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.BASIC QUALIFICATIONS- 3+ years of building deep learning or machine learning models for business application experience- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field- Deep knowledge in one or more areas of machine learning or deep learning- Experience programming in Java, Python or related language ...

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Sponsored Brands Advertiser Control team is a versatile environment, with a wide variety of challenges. We guide advertisers to make informed decisions by sharing insights and forecasts. We help advertisers deliver effective campaigns automatically by optimizing bids and targets on behalf of them. We enable advertisers to achieve brand advertising goals with maximum efficiency. We look at mega size data from both retail and advertising space, and coming up with ML and DL based science solutions through multiple products. In this role you will: - Research and build innovative machine learning and deep learning models utilizing the latest technologies such as LLM to provide personalized targeting, real-time forecasting and simplify campaign creation and management- Develop optimization solutions to automate bidding , targeting and budgeting on behalf of advertisers - Perform hands-on big data analysis and modeling to develop insights that increase advertiser monetization and merchandise sales without compromising shopper experience. - Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Write production code to bring models into production. - Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. - Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.Why you love this opportunity Amazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of self-service performance 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 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 fundamentally 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. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us BASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience- 5+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Veeqo (veeqo.com) — a startup which was acquired by Amazon in 2021 — is Amazon’s recommended shipping solution for sellers. Our vision is to become the back-office hub for ecommerce sellers, for both their on-Amazon and off-Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time.Veeqo is seeking an Amazon Partnership Manager to drive and manage internal partner relationships to join the partnership team globally. This role is integral to driving warm referrals to our outbound sales team. In this role, you will be responsible for fostering existing relationships with Amazon partner teams, educating on Veeqo benefits and offering. Managing go-to-market strategies with partner teams including: creating educational content, reporting on progress and executing operational steps, such as lead to launch to Seller success through Salesforce management. The Amazon Partnerships Manager will require a deep knowledge of the Selling Partner experience and community as well as strong learn and be curious, invent and simplify, and bias for action. Key job responsibilities1. Strategic Relationship development: develop/maintain/and educate key executive relationships with Amazon team stakeholders2. Develop and implement strategies/content to strengthen internal partnerships3. Create strategic go-to-market plans for internal teams: create tracking mechanisms and build flashes to execute narratives.4. Collaborate with internal teams to educate them about our products and features. Own goals for partner led programs and drive cross-functional collaboration.5. Identify and pursue partnership opportunities outside of existing ones. 6. Track and analyze partnership performance metrics to optimize results.BASIC QUALIFICATIONS- 3+ years of business development, partnership management, or sourcing new business experience- 3+ years of developing, negotiating and executing business agreements experience- Bachelor's degree- Experience with sales CRM tools such as Salesforce or similar software- Experience in setting up and managing a sales pipeline ...

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilitiesAs an Applied Scientist with the AIT team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to will tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life· Analyze, understand, and model customer behavior and the customer experience based on large scale data. Especially showing passion towards solving for international customer-centric challenges.· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing· Contribute through industry first research to drive the innovation forward. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's 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.The Search Ranking and Interleaving (R&I) team within the Marketplace Intelligence org in SP is responsible for determining which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the ranking and allocation of ads on the search page. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.We are looking for an Applied Scientist to join the Search Ranking team in MI. The team is responsible for improving the quality of ads shown to users (e.g., relevance, personalized and contextualized ranking to improve shopper experience and business metrics) via online experimentation, ML modeling, simulation, and online feedback. As an Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with with search and retail partner teams, software engineers and product managers to build scalable real-time ML solutions. You will have the opportunity to design, run, and analyze A/B experiments that improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact while broadening your technical skillset. Key job responsibilities- Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.- Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them- Research new and innovative machine learning approaches.BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

The goal of the Americas Account Compliance team is to implement effective controls to ensure regulatory compliance while continuously improving the customer experience. We are expanding our team and seeking a dynamic candidate to drive our AML and customer experience initiatives while maintaining an optimal SX as we grow.The AML and Account Compliance Program Manager will be responsible for overseeing the expansion and enhancement of the organization's anti-money laundering (AML) program and compliance program as the business grows and evolves. The role also includes oversight of controls under Canada’s federal anti-money laundering and terrorism financing (“AML/TF”) regime, INFORM Consumers Act (for US customers) as well as oversight of tax compliance and other seller experience initiatives for the Americas. This role involves developing and implementing AML-related risks and compliance requirements across new products, services, markets, and channels while also emphasizing on best in class customer experience. The manager will work closely with compliance, risk, operations, and technology teams to ensure the AML program keeps pace with evolving business needs and regulatory requirements.Key job responsibilities• Develop and execute a comprehensive strategy to extend the organization's AML compliance framework in alignment with business objectives and regulatory expectations• Collaborate with business leaders to understand emerging compliance risks and requirements associated with new initiatives and develop appropriate AML mitigations• Continuously develop and enhance the tax compliance and seller experience processes and controls for sellers in the Americas• Own the design and implementation of enhancements to AML customer due diligence, reporting capabilities, and overall SX• Oversee the development and deployment of new AML-related technologies, tools, and data sources• Establish AML policies, procedures, and training programs to support the expansion of the compliance framework• Manage AML-related projects, including resource planning, budgeting, and stakeholder communication• Provide strategic guidance and subject matter expertise to cross-functional teams on AML compliance matters• Report on the performance, initiatives, and ongoing enhancements of the AML program to senior management and the board of directorsAbout the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to help each team member develop into a better-rounded professional.BASIC QUALIFICATIONS- 5+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience- Bachelor's degree or equivalent- Experience establishing successful partnerships with internal and external teams to execute tactical initiatives or equivalent- Experience in program requirements definition, together with data and metrics leveraging to drive improvements- Experience with AML-related technologies, data analytics, and automation ...

Amazon’s growing Canada Marketplace Sales team is looking for a Sales Account Representative to drive success and growth within key Amazon business groups. This role is for candidates who are passionate about selling, and helping small and medium business grow. The ideal candidate has a history of achieving goals and exceeding deliverables. Successful hires are strong analytical thinkers and problem solvers who thrive in fast-paced dynamic environments. They are strong communicators, effective listeners and project managers who are able to balance multiple and often conflicting priorities. The ability to manage a valuable prospect list is vital; candidates must be comfortable prospecting, cold-calling, and negotiating via phone on both transactional and strategic branding-based deals. This is an exciting opportunity to learn about our solutions and how these drive the overall Amazon business.BASIC QUALIFICATIONS- BA/BS degree or equivalent experience with equivalent being- 2 years of sales experience- Experience meeting sales targets using a solutions-focused approach. ...