Amazon.com Services LLC

Amazon Seller Services (www.amazonservices.com) is seeking a dynamic and motivated Account Executive for the Seller Growth sales development team. We are a fast-growing, e-commerce marketplace business focused on accelerating growth of US domestic 3P Selling Partners into medium and large scale businesses by providing bespoke strategic advice in order to develop their business on the Amazon store.This role will focus on building trust through win-win relationships with 3P Selling Partners to drive engagement and adoption of growth-driving programs. We help accelerate program adoption for key growth opportunities by coaching Sellers on the fundamental building blocks to develop their business long-term on Amazon.com consisting but not limited to Fulfillment by Amazon (FBA), Amazon Advertising, Amazon Brand Registry, etc.Key job responsibilitiesThis individual will work with internal stakeholders and cross-functional teams to create and present compelling Amazon solutions that meet and exceed customer requirements. You will be chartered with managing a strategic sales pipeline to deliver sales results and ensure Seller satisfaction. This individual will be responsible for building relationships with senior and executive level decision-makers to accelerate growth lever adoption.• Deliver the highest level of sales and customer service to our strategic sellers.• Retain and grow revenue from existing. • Utilize Sales CRM tools to track all pertinent account information and sales progress as well as forecast and prioritize to achieve quarterly quota goals.• Understand and learn about the e-commerce industry and competitive environment including knowledge of competitive product offerings.• This role currently requires a minimum of three days working from the assigned office a week and will require travel as needed. Beginning January 2, 2025, the expectation will be five days a week of in office presence with travel as needed.A day in the lifeAbout the teamOur team is dedicated to supporting new members thrive in their career. We have a broad mix of experience and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We strive for an open environment to expand on your strengths while isolating growth opportunities in order to drive longer term career success.BASIC QUALIFICATIONS- Experience positioning and selling innovative solutions to new and existing customers and market segments- Experience with Microsoft Office products and applications- Experience with sales CRM tools such as Salesforce or similar software- Bachelor's degree or equivalent ...

Are you excited about developing AI/ML solutions to revolutionize robotics and automation? 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. The Research team at Amazon Robotics is seeking a passionate hands-on Applied Scientist to innovate in the field of planning for fleets of mobile robots. The focus of this position is optimizing movement in warehouses that feature thousands of robots in constant motion moving inventory around the building. Relevant research topics include planning and scheduling for multi robot systems, multi-agent path finding, and developing ML models to render fleet behavior adaptable to varying operating conditions. The work includes eliciting and addressing basic research questions from AR's rich application settings, running large-scale A/B tests on robots in our facilities, and collaborating with engineering teams to deploy solutions in our vast robot fleet.Key job responsibilities* Research vision - Where should we be focusing our efforts* Research delivery - Proving/dis-proving strategies in offline data or in simulation* Production studies - Insights from production data or ad-hoc experimentation* Production implementation - Building key parts of deployed algorithms or modelsA day in the lifeAmazon offers a full range of benefits for 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 teamYou would join our Movement Science team that includes scientists with backgrounds in planning and scheduling, machine learning, and robotics. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including: - Planning and coordinating the paths of thousands of robots - Dynamic allocation and scheduling of tasks to thousands of robots - ML models that adapt system behavior to varying operating conditions - Co-design of layouts and the algorithms to optimize movement on themOur team is part the Research, Applied, and Data Science organization within Amazon Robotics, a hub to foster innovation and support scientists across Amazon Robotics.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 patents or publications at top-tier peer-reviewed conferences or journals- Experience with any of the following (preferably in the context of multi-robot/multi-agent systems): automated planning, scheduling, heuristic search, deep learning, transformer-based models, foundation models, robotics ...

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 ...

Amazon’s maps play a crucial role in our vehicle navigation, routing, and planning problems to ensure fast and safe deliveries to our customers. As part of the Last Mile Geospatial Science organization, you’ll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting problem area to augment the maps and routing inputs from satellite/aerial imagery and street videos by leveraging the latest computer vision and deep learning techniques.Key job responsibilitiesSuccessful candidates should have a deep knowledge (both theoretical and practical) of various machine learning algorithms for large scale computer vision problems, the ability to map models into production-worthy code, 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, long term problems. The applied scientist should be proficient with image and video analysis using machine learning, including designing architecture from scratch, modify existing loss functions, full model training, fine-tuning, and evaluating the latest deep learning models. The Applied Scientist optimizes different models for specific platforms, including edge devices with restricted resources. Multi-modal models, e.g., Large Vision Language Models (LVLM), zero-shot, few-shot, and semi-supervised learning paradigms are used extensively.A day in the lifeIf 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!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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation 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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms ...

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

Are you excited about developing cutting-edge generative AI, large language models (LLMs), and foundation models? Are you looking for opportunities to build and deploy them on real-world problems at a truly vast scale with global impact? As part of AFT (Amazon Fulfillment Technologies) AI, a group of over 50 scientists and engineers, we are on a mission to build a new generation of dynamic end-to-end prediction models (and agents) for our warehouses based on GenAI and LLMs. These models will be able to understand and make use of petabytes of human-centered as well as process information, and learn to perceive and act to further improve our world-class customer experience – at Amazon scale.We are looking for an Applied Scientist who will help us build next-level process prediction and shift simulations for all systems in a full warehouse with the help of generative AI, graph neural networks, and LLMs. Together, we will be pushing beyond the state of the art in simulation and optimization of one of the most complex systems in the world: Amazon's Fulfillment Network.Key job responsibilitiesIn this role, you will dive deep into our fulfillment network, understand complex processes, and channel your insights to build large-scale machine learning models (LLMs and Transformer-based GNNs) that will be able to understand and predict the state and future of our buildings, network, and orders.You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will work with and in a team of applied scientists to solve cutting-edge problems going beyond the published state of the art that will drive transformative change on a truly global scale.If you thrive in a dynamic environment and are passionate about pushing the boundaries of generative AI, LLMs, and optimization systems, we want to hear from you.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:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. 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 teamAmazon 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.BASIC QUALIFICATIONS- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- 1+ years of building models for business application experience ...

Amazon Publishing is seeking an innovative, passionate, market-savvy Acquisitions Editor with a primary focus on acquiring book club fiction. You will be responsible for discovering and acquiring exceptional content, managing author and agent relationships, and collaborating with marketing, publicity, production, and author relations teams to deliver quality books and world-class author experiences. This is a multi-faceted job in a fast-paced environment that requires facility with data, flexibility, creativity, and a sense of humor.Key job responsibilitiesIdentify, evaluate, and develop submissions, projects, and proposals to acquire, including:• Monitoring trend and sales data• Strong analytical thinking paired with excellent editorial sensibility• Strong track record of discovering, developing, and publishing bestselling titles and authors• Working closely with authors to develop their work and careers• Working closely with internal teams to shepherd work from manuscript through publication and beyond• Developing and maintaining strong relationships with literary agentsAbout the teamAmazon Publishing is the full-service publishing arm of Amazon. Our mission is to invent new and better ways to connect authors and readers.BASIC QUALIFICATIONS - Strong track record of discovering, developing, and publishing bestselling titles and authors - Strong negotiation skills along with knowledge of standard publishing contracts and P&Ls - Strong project management experience and ability to hit deadlines- Strong written and verbal communication skills- Demonstrated analytical thinking paired with excellent editorial sensibility- Demonstrated ability to work effectively within a team setting- Fluent in all office applications including Word, Excel, Outlook, Salesforce ...

The Brand Experience (BX) organization creates, builds and leads innovation for Brand Owners in the Amazon store worldwide. Our growing portfolio of BX tools enable Brands to tell their unique Brand and product stories, optimize content through statistical experimentation, solicit and manage reviews to earn Customer trust and grow their business as well as engage with new and loyal Customers through a variety of channels.We are looking for a Applied Scientist to drive data insights and opportunities to improve Brands’ success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).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 ...

Amazon is looking for an Applied Scientist to help build the next generation of sourcing and vendor experience systems. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing and the orchestration of inbound flows from vendors worldwide. We source inventory from thousands of vendors for millions of products globally while orchestrating the inbound flow for billions of units. Our goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon.As an Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including optimization, causal inference, and machine learning/deep learning. Some critical research areas in our space include modeling buying decisions under high uncertainty, vendors' behavior and incentives, supply risk and enhancing visibility and reliability of inbound signals.Key job responsibilitiesYou will be a science tech leader for the team. As a Applied Scientist you will:- Set the scientific strategic vision for the team. You - - lead the decomposition of problems and development of roadmaps to execute on it.- Set an example for other scientists with exemplary scientific analyses; maintainable, extensible, and well-tested code; and simple, intuitive, and effective solutions.- Influence team business and engineering strategies.- Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs.- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.- Foster collaborations between scientists across Amazon researching similar or related problems.- Actively engage in the development of others, both within and outside the team.- Engage with the broader scientific community through presentations, publications, and patents.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree- Experience programming in Java, C++, Python or related language- Experience with deep learning methods and machine learning ...

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 job responsibilities* 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 ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better.Visit www.amazon.com/about to:• Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year.• Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn.• Learn more about our commitment to our communities, diversity and military veterans.• Learn more about our headquarters in Seattle as well as where we operate around the world.Sr. Marketing Managers (MM): MMs at Amazon drive general marketing, product marketing or functional marketing initiatives for organizations including (but not limited to): Amazon Music, Prime Video, Alexa Devices, Kindle, Amazon Web Services (AWS), North America Consumer (such as Retail Systems, Customer and Brand Protection, Marketplace Sales, International Retail, Hardlines, and Softlines) and Prime. They work cross-functionally to develop marketing plans, define success metrics, manage strategic projects, and own business outcomes. MMs ultimately become marketing leaders responsible for large business segments and organizations.Key job responsibilities• Sr. General Marketing Managers can be responsible for developing mass brand campaigns, integrated marketing programs, annual marketing plans, creative strategies and go-to-market.• Sr. Product Marketing Managers can be responsible for developing marketing plans, positioning, pricing, messaging, funnel optimization and lifecycle marketing. • Sr. Functional Marketing Managers can be responsible for developing global paid media plans, cross-channel outbound campaigns, merchandising programs and promotion strategies.About the team• Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.• Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team. • Internship start dates will be between May-June 2025 for a 12-week, consecutive internship. BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2025 and September 30, 2026.- 3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

Reliability & Maintenance Engineering (RME) is hiring for Area Maintenance Managers!Our Reliability & Maintenance Engineering (RME) team is integral to the success of Amazon worldwide. They manage risks, minimize system downtime, and find innovative ways to improve the way we work. It’s how we’ll become a more sustainable business while building the future one innovative product, service, and idea at a time.At Amazon we believe that Every Day is still Day One! We’re working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and driven people.The Area Maintenance Manager will lead a team of facilities associates and ensure a safe working environment for all.If you do not meet 100% of the preferred qualifications outlined in this job description, we still encourage you to apply. We understand that skills and competencies can be gained in many ways and we are primarily interested in a demonstrated commitment to the work and the potential to grow. Experience comes in many forms and passion goes a long way. If your experience is close to what we're looking for, please consider applying.Key job responsibilities- Dedicated to supporting multi-site production by working in a safe, customer-focused manner; and must be highly self-motivated and customer-centric- Develop and design solutions to difficult problems, manage outside contractors and be on call for emergencies- Handle multiple projects and daily activities, meet deadlines and develop plans on how to accomplish departmental and distribution goals- Ensuring that all safety programs and procedures are followed, develop and maintain preventative maintenance programs and good working relationships with operations- Develop business plans and provide guidance and direction for the successful implementation of those plans- Help to develop, set and track budgets- Understand and implement safety programs- Successful candidates must have the ability to provide enriched feedback to enhance individual performance, provide associates with written performance appraisals including discipline and up to termination- Mentor all facilities associates by motivating and providing direction to help them achieve their goals and make a consistent effort to go above and beyond- Project planning and cost analysis- The Area Maintenance Manager promotes and conducts good housekeepingAt Amazon, we continuously strive to make sure our opportunities are open to all. We treat all job applications equally, and are always delighted to welcome a new Amazonian. Apply to join our close-knit team and your Amazon RME adventure will begin from day one. Where it goes and what it looks like is up to you!BASIC QUALIFICATIONS- Bachelor's degree, or 2+ years of Amazon experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

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!SB ResponseModel team's role is to support the prediction of Click Through Rates, View Rates, and Conversion Rates for Sponsored Brands. Our goal is to enhance advertising efficiency, improve the shopper experience, and promote SB product recognition. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations, facilitate business growth and promote technology innovation.As an Applied Scientist on this team, you will:- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.Impact and Career GrowthYou 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.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 ...

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 ...

Are you passionate about AI for recommendation systems? Do you want to influence the content that customers see at Amazon.com? Our recommendation services team designs and implements scalable machine learning solutions to personalize and optimize customer experience across Amazon retail pages. We are currently expanding in New York, and are looking for an applied scientist to join us in this exciting journey. As an Applied Scientist, you will: - Push the boundaries of real-world ranking, recommendation, and optimization systems - Support science, engineering and product development on a scale only seen at Amazon. - Champion and define best practices to maximize learnings while mentoring more junior scientists and engineers. - Obsess over customer needs and satisfaction. - Create intellectual property, influence others while demonstrating significant creativity and being vocally self-critical. - Shape product definitions and objective and surface signals on how these objectives meet long term customer needs. - Translate metrics & signals into actionable plans to calibrate individual components. - Operate hands-on and as an implementor of algorithms and models delivered to production systems. - Help define customer focused research initiatives.Please visit https://www.amazon.science for more information. 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 ...

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting position in the industry.About our organization: Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for", "Tap to explore", “Customers who bought this item also bought”, and “Frequently bought together” among others. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.You will play a critical role in ideation for the team. We are building the next generation ML systems that powers the biggest shopping engine on earth, and we hope you will join us!Key job responsibilitiesAs an Applied Scientist on the team you will be working on cutting edge ways to help customers find the right products and content on their shopping journey. Our goal is to help customers achieve their objective seamlessly while shopping on Amazon. We are investing in multiple fronts including but not limited to GenerativeAI, LLMs, transformers, sequence models, reinforcement learning. This is an opportunity to come in on Day0 and influence the science roadmap of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive shopping experiences. We will be working on applying cutting edge science and research into production to elevate the customer experience. You will be part of a multidisciplinary team, working on one of the largest scale machine learning systems in the company. You will hone your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists, you will have a unique opportunity to help build infrastructure that accesses petabytes of data to produce and deliver models that deliver state of the art customer experiences. About the teamOur mission is to delight every Amazon customer with a consistent and adaptive personalized shopping experience. We achieve our mission through investments in large scale machine learning, distributed systems and user experience with the purpose of delivering the future of shopping on Amazon. 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 ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better.Visit www.amazon.com/about to:• Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year.• Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn.• Learn more about our commitment to our communities, diversity and military veterans.• Learn more about our headquarters in Seattle as well as where we operate around the world.Senior Retail Vendor Manager (VM): Amazon is looking for a passionate candidate with the proven ability to build strategic, long term business relationships within the Amazon Stores organization. The candidate will be responsible for monitoring and reacting to industry trends, within a determined Amazon Stores retail business, and own the top and bottom lines of the P&L. They will develop selection and categories, deliver innovative growth solutions and work with internal teams to deliver the best customer experience. The candidate must be a thoughtful, high-energy, self-starter, with strong business acumen, acute analytical skills, and the ability to work with teams internally and externally. The candidate must thrive in a fast-paced, data-driven environment. The candidate will work with vendors of all sizes – and must have the leadership presence and communication skills to represent Amazon at all levels of these organizations. They will need to be able to work across multiple internal teams, at high levels of leadership, to address customer experience issues within the category. The candidate must also possess strong analytical acumen and be comfortable drawing metric-based conclusions while applying a customer centered lens to decisions.Key job responsibilities-Conduct financial analysis of business opportunities to meet and exceed revenue and profitability targets by executing annual and ongoing vendor negotiations.-Have an understanding of customer needs and use that knowledge to advocate for, and drive delivery of, improvements that provide Amazon customers with an unparalleled shopping experience.-Build vendor/brand relationships - be the primary point of contact for vendor selection on-boarding, escalations, and negotiations.-Have a thorough understanding of the industry, business trends, events, and continually monitor both industry and competitor developments.-Maximize Amazon’s business and financial profitability through selection optimization and expansion opportunities.-Coordinate across cross-functional teams and communicate with internal and external stakeholders, all while meeting tight deadlines.About the team- Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.- Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team. - Internship start dates will be between May-June 2025 for a 12-week, consecutive internship.- For more information, please visit https://amazon.jobs/content/en/career-programs/university/mba BASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum ...

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 job responsibilities* 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 ...

Brand Stores (such as www.amazon.com/lego) are a core product offering in the Amazon Advertising portfolio. The brand’s store is their dedicated place on Amazon to differentiate, grow sales, and build loyalty with millions of shoppers. Our mission is to empower brands of all sizes to tell their story in their own unique voice to consumers. We help brands create engaging shopping experiences that assist shoppers in discovering and evaluating them as part of purchase decisions. We succeed when we are both useful to shoppers and when brands can attract and retain shopper’s attention using our products. A cool case study on brand stores can be found here: https://advertising.amazon.com/library/case-studies/nespresso-brand-store-increases-shopper-engagement.We are looking for an Applied Scientist to lead the generation of data driven insights that bring long term value to brands, as well as the idealization and creation of ranking models for brand content. In this role you will influence our team’s science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state of the art machine learning research.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team collaborate closely with other 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 #adpt-brand-shopping-experiences-scienceKey job responsibilitiesAs an Applied Scientist on this team, you will: - Be the technical leader in Machine Learning; lead efforts within this team and across other teams.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.About the teamThe Brand Shopping Experience Team (BSX) develops and deploys into production Machine Learning Algorithms that quantify relevance, select and organize Brands’ pieces of content in different placements in Amazon.com. BSX's goal is to create engaging and enjoyable shopping experiences that incentivize Brand discovery and that foster Brand-Customer relationships.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 Photos is looking for a leader to head the Applied Science team for the business. This leader will report directly to the GM of the business and be part of the leadership team. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps and on Echo Show and Fire TV. With all the recent advancements in AI, Amazon Photos has completely re-thought the product roadmap and is now looking for a hands-on technical leader who can guide a team of Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. The ideal candidate has a PhD in CS or related fields, 15+ years of work experience in Computer Vision / AI fields, with a demonstrated ability to successfully lead a team and interface with product and business leaders. Key job responsibilities- Work closely with Product to understand the short-to-long-term roadmap to uncover Applied Science needs for supporting the business- Manage a team of Applied Scientists and prioritize their work- Work closely with engineering to deliver AI features at scale- Work closely with engineering to build the AI infrastructure needed to deliver on applied science features worldwide- Work closely with Product and Engineering to prototype new product ideas for consideration- Be part of the leadership team and participate in key debates around product roadmap including influencing the business strategy BASIC QUALIFICATIONS- MS in CS or related fields- Technical experience in CV/ML/AI fields- Demonstrated ability to manage a team of applied scientists ...