Amazon.com Services LLC

Are you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.For more information on the Amazon Science community please visit https://www.amazon.science.BASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming or scripting language like Python, Java, C or C++ ...

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 ...

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 ...

Do you have a strong science background and want to help build new technologies? Do you have a physics background and want to help build and test superconducting circuits? Join the quantum revolution at Amazon and be part of a team that's pushing the boundaries of what's possible in quantum computing and quantum technologies. As a Research Science Intern focused on Quantum Technologies, you'll have the opportunity to work alongside leading experts in the field, contributing to cutting-edge research and driving innovation in areas such as quantum algorithms, quantum simulation, superconducting qubits, quantum key distribution, and quantum optics.We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of Amazon's customers. Research interns at Amazon work passionately to apply cutting-edge advances in technology to solve real-world problems. As an intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, and implement prototypes.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Amazon has positions available for Quantum Research Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA. Key job responsibilitiesWe are particularly interested in candidates with the following skills: Experience with working on commercial quantum computation at hardware, software, or consulting companies. Experience with AWS technologies like EC2, S3, and Cloudwatch. Familiarity with using data visualization tools. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. Quantum Algorithms, Quantum Simulators, Superconducting Qubits, OpticsIn this role, you gain hands-on experience in applying cutting-edge analytical techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights to drive operational excellence, we encourage you to apply.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Conduct research and develop new quantum algorithms to solve complex computational problems- Design and implement quantum simulation models to study the behavior of quantum systems- Investigate the properties and performance of superconducting qubits, a promising platform for building large-scale quantum computers- Explore the application of quantum optics principles to develop novel quantum sensing and communication technologiesBASIC QUALIFICATIONS- Are enrolled in a PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience with any programming language such as Python, Java, C++- Experience with one or more of the following: Quantum Algorithms, Quantum Simulators, Superconducting Qubits, Quantum Key Distribution , Optics ...

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 ...

Are you looking for an environment where you can drive innovation, apply state-of-the-art machine learning techniques, and tackle real-world problems at massive scale? Do you want to shape the future of Amazon’s Retail business by designing and deploying deep learning models for time series forecasting? If so, join the Amazon Demand Forecasting Science team! As part of this dynamic team, you will create and implement novel neural network architectures to develop the next generation of foundation time series models, directly influencing how Amazon operates at a global scale.Key job responsibilities- Design new deep learning algorithms and creative approaches to push time series forecasting performance beyond the current state-of-the-art.- Work cross-functionally with product managers, software engineers, and scientists to build end-to-end solutions that are deployed at scale in Amazon’s production systems.- Engage with the broader scientific community at Amazon and beyond - collaborate with academic researchers, contribute to publications, and present your work at leading conferences (e.g., NeurIPS).A day in the lifeYou will deep dive into massive Amazon time series datasets, leveraging Python and PySpark to conduct exploratory data analysis. You will prep the data pipeline - writing Python code to train, evaluate, and debug the latest deep learning models. You will design novel neural network architectures, brainstorming with fellow scientists and engineers on ways to push the boundaries of foundation time series modeling. You may explore and benchmark open-source solutions, identifying opportunities to enhance Amazon’s forecasting capabilities. You will document your discoveries and prepare them for internal knowledge-sharing sessions or external conferences, ensuring that your innovations help shape the future of demand forecasting - both within Amazon and the broader research community.About the teamWe are responsible for accurately predicting sales for millions of products worldwide. Our work reduces costs, drives lower prices, and improves selection for customers - all while leveraging unprecedented volumes of data that only Amazon can offer. BASIC QUALIFICATIONS- 2+ 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 or scripting language like Python, Java, C or C++- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

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 ...

About Amazon Advertising:Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.About our team:SPB Brand Identity Team is on a mission to make Amazon the best in class destination for all brand needs. Our team builds a centralized brand identity datastore responsible for creating brands, mapping advertisers, products, and ads to brands. This enables our advertisers and customers to tell engaging brand stories through mappings generated and delivered by our team. We also enables customer-brand engagement enhancement through a UI allowing advertisers to self-manage and correct any mappings. Together these mappings are used by dozens of internal teams to generate measurement reports, brand intelligence, similar brands (i.e. substitutes), shopper/brand signals, etc. About this Role:We are looking for a passionate, talented Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Ads Recommender Systems, Data Mining and Feature Engineering, and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware Brand Understanding. A successful candidate will have strong machine learning background and a desire to push the boundary of one or more of the above areas. The ideal candidate is expected to leading the effort of building key ML features, contribute to the collaborative and innovative spirit within the team, and bring cutting-edge applied research to raise the bar within the team.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- 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- 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 seeking a highly motivated PhD Research Scientist Intern to join our robotics teams at Amazon. This internship offers a unique opportunity to work on cutting-edge robotics projects that directly impact millions of customers worldwide. You will collaborate with world-class experts, tackle groundbreaking research problems, and contribute to the development of innovative solutions that shape the future of robotics and artificial intelligence.As a Research Scientist intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes, and work with massive datasets. You'll find yourself at the forefront of innovation, working with large language models, multi-modal models, and modern reinforcement learning techniques, especially as applied to real-world robots.Imagine waking up each morning, fueled by the excitement of solving intricate puzzles that have a direct impact on Amazon's operational excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions in robotics and AI. You'll then immerse yourself in a world of data and algorithms, leveraging your expertise in large language models and multi-modal systems to uncover hidden patterns and drive operational efficiencies.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Amazon has positions available for Research Scientist Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA, and San Francisco, CA.We are particularly interested in candidates with expertise in: Robotics, Computer Vision, Artificial Intelligence, Causal Inference, Time Series, Large Language Models, Multi-Modal Models, and Reinforcement Learning.In this role, you gain hands-on experience in applying cutting-edge analytical and AI techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights and advanced AI models to drive operational excellence in robotics, we encourage you to apply.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, and have the ability to thrive in a fast-paced, ever-changing environment.A day in the lifeWork alongside global experts to develop and implement novel scalable algorithms in robotics, incorporating large language models and multi-modal systems.Develop modeling techniques that advance the state-of-the-art in areas of robotics, particularly focusing on modern reinforcement learning for real-world robotic applications.Anticipate technological advances and work with leading-edge technology in AI and robotics.Collaborate with Amazon scientists and cross-functional teams to develop and deploy cutting-edge robotics solutions into production, leveraging the latest in language models and multi-modal AI.Contribute to technical white papers, create technical roadmaps, and drive production-level projects that support Amazon Science in the intersection of robotics and advanced AI.Embrace ambiguity, maintain strong attention to detail, and thrive in a fast-paced, ever-changing environment at the forefront of AI and robotics research.BASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based ...

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization owns and operates OR/ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon’s warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience. We are focused on saving hundreds of millions of dollars using Optimization, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.We’re looking for a passionate, results-oriented, and inventive scientist who can create and improve models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative models for solving complex business problems in the area of outbound transportation planning and execution systems. You will work closely with our product managers and software engineers to disambiguate complex supply chain problems and create optimization solutions to solve those problems at scale. You will directly impact our direct customers, and even play with big data and incredible scale in the background.Watch http://bit.ly/amazon-scot to get the big picture. Key job responsibilities* Design, development and evaluation of highly innovative optimization models for solving complex business problems. * Research and apply the latest optimization techniques and best practices from both academia and industry. * Think about customers and how to improve the customer delivery experience. * Use and analytical techniques to create scalable solutions for business problems. * Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeThis is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within it's logistics network including Fulfillment Centers, Sort Centers, Delivery Stations, and more. In this role, you will be a design and develop Optimization models with significant scope, impact, and high visibility. Your solutions will impact business segments worth many-billions-of-dollars and geographies spanning multiple countries and markets. From day one, you will be working with bar raising scientists, engineers, and designers. You will also collaborate with the broader science community in Amazon to broaden the horizon of your work. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamFulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Machine Learning and Operations Research, who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create ML and optimization solutions to solve those problems at scale.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 ...

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 ...

Come build the future with Amazon Global Air!A part of Amazon’s transportation solution, Amazon Global Air provides an exhilarating, customer-centric transportation option to safely and efficiently deliver goods across long distances. We’re defining the future of air cargo through a talented, diverse team, leveraging innovative technologies and a sustainability-aware mindset to solve large-scale challenges. Ready for your career to take off? Fly Amazon!#AmazonAir #FlyAmazonKey job responsibilities- Support, mentor, and motivate your team- Manage safety, quality, productivity, and customer delivery promises- Collaborate with all support teams including Safety, Ops Integration, Loss Prevention and Human Resources to develop plans to meet business objectives- Lift up to 49 pounds, stand and walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend, and reach, as well as continuously climb and descend stairs- Work in an environment where the noise level varies and is subject to variable temperatures and weather (Air gateways include outside loading departments/ramp loading)- Supporting all safety programs, OSHA and Air Carrier FAA compliance to ensure a safe work environment for all AssociatesA day in the lifeAs an Area Manager, you will lead a team of hourly employees 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 part in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Depending on the type of job, you will be required to engage in physical warehouse and ramp activities given reasonable accommodation. The ambiguity of this role allows for creativity; you’re able to invent and enhance safer processes within aviation, all while building and maintaining a great work place for yourself and your direct reports. You will have the opportunity to influence others to enhance our Air network and develop your career on Amazon’s fastest growing and evolving team!Eligibility requirements- Individuals hired into this position will have unescorted access privileges to airport security identification display areas (SIDA). For this reason, eligibility for this role will be limited to individuals who pass a security screening, as required by the FAA, DHS, and TSA (as applicable).- Must be able to secure appropriate airport authority and/or US Customs security badges, if applicable.- This position requires an employee’s full and unimpaired skills and judgment to safely execute their job duties to ensure the safety and security of Amazon AIR personnel, third-party contractors, Airport personnel, cargo, and equipment. This position is therefore designated as a safety sensitive position and is subject to mandatory pre-employment and, where permitted, post-hire drug testing.Temperature in the Air Gateway may vary between depending on outside weather conditions and will fluctuate depending on the season and daily weather conditions. You may be working outdoors your entire shift. The ability to work outdoors in a variety of weather conditions is a must.Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. 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 ...

Please note the following eligibility requirements to apply for this role:• Graduate from Bachelor's degree program between 12/2025 and 6/2026.• Ability to relocate nationwide. Relocation assistance provided, if eligible.• Ability to complete 12-week internship between May – August 2025.• We are unable to offer visa sponsorship for this role.Elevator PitchAt Amazon, we are excited to offer undergraduate students the opportunity to launch into big careers with limitless possibilities. We look forward to meeting you and your classmates this year.We know searching for an internship is as much about finding a company where you can picture yourself being successful as it is about finding the right full-time role. Amazon’s HR Generalist internship is focused on people operations and preserving Amazon’s peculiar culture in the way we attract, hire, and develop talented people.Day in the lifeIn this role, you will manage a project from beginning to end with one of Amazon’s HR teams in North America. Projects will vary from working with compensation, HR managers and business partners, onboarding, training and development, talent acquisition, or international HR. This internship is a project-based, educational opportunity intended to prepare students to enter Amazon’s Global Human Resources organization. You will spend 12 weeks learning about Amazon's peculiar approach to hiring and developing the best professionals by working with experienced senior management and business partners, as well as cross-functional HR support teams. You will get a 360-degree view of Amazon’s approach to HR, where you will see managerial strategy and concepts come alive in a fast-paced environment that showcases everything that goes on behind the scenes to ensure our teams have what's needed to develop and retain a high-powered workforce.Do you thrive in a dynamic, fast paced environment? Would you like the challenge of delivering a continuously improving employee experience? Can you think broadly about creative solutions and work to implement process improvement across our HR teams worldwide? If the answer is yes, the HR Generalist internship may be right for you.BASIC QUALIFICATIONS• Currently enrolled in a bachelor’s degree program with a graduation conferral date between December 2025 and June 2026.• Able to work 40 hours a week throughout the course of a 10 to 12-week summer internship between May through August 2025. ...

Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading generative AI technologies to derive insight at scale - all in a challenging, fast-paced environment? We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audit’s Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams, utilizing the right methods to derive deeper patterns, and surface insights to gain holistic perspectives while amplifying potential risk mitigation.Key job responsibilities- Work with audit teams, product managers, engineers, and more senior scientists to contribute to machine learning and generative AI products that have degrees of ambiguity, scale, and complexity.- Perform statistical analyses and modeling using SQL and scripting languages like Python/R with big data to develop insights and recommendations to improve internal audit cycles.- Assist in architecting secure and scalable solutions leveraging AWS machine learning, AI and Generative AI related services, working closely with auditors to understand their business needs.- Contribute to the full development cycle of machine learning models and generative AI solutions: design, prototype, impact assessment, A/B testing, production deployment, maintenance, and improvement.- Help maintain the team's ML Infrastructure, including production and experimentation environments.- Collaborate with software development engineers on scientific projects.A day in the lifeAs an Applied Scientist, you will contribute to the design and execution of a product roadmap that connects risk to the business. You will help build products and services centered around large language models to improve audit effectiveness and efficiency. The ideal candidate will have a strong foundation in data science and AI, with the potential to grow into an expert in production architecture. We're looking for a self-starter who is comfortable with some ambiguity, has strong attention to detail, and can work effectively in a dynamic environment. This role offers an exciting opportunity for a motivated individual to grow their skills in AI and contribute to impactful projects in a dynamic environment.About the teamInternal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience. 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- Experience researching about machine learning, deep learning, NLP, computer vision, data science ...

At Amazon's Stores Foundational AI - M5 team, we're revolutionizing e-commerce through advanced Large Language Models (LLMs). Our models power various customer interactions across Amazon's platform, enhancing the traditional and conversational shopping experience at every turn. We're looking for an exceptional science leader to spearhead our AI innovation efforts. In this role, you'll lead a high-performing team of scientists, developing cutting-edge LLM technologies that directly impact customer experiences. You'll collaborate with cross-functional teams, identifying new AI opportunities and translating research into practical, scalable solutions. As a leader, you'll mentor team members, fostering a culture of excellence and continuous learning. Your ability to inspire and guide technical experts will be crucial in pushing the boundaries of AI-driven e-commerce. This position offers a unique opportunity to shape the future of online shopping, making a lasting impact on millions of customers worldwide. If you're passionate about emerging technology, driven by customer-centric innovation, and ready to make a significant industry impact, we want to hear from you. Join us in transforming the e-commerce landscape through the power of AI.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- At least 5 years experience in building large-scale machine learning and solutions at scale- At least 2 years programming experience in Java, Python, Scala, C++, or other mainstream language- Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization ...

Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are 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 to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. The Ad Response Prediction team in Sponsored Products organization build advanced deep-learning models, large-scale machine-learning pipelines, and real-time serving infra to match shoppers’ intent to relevant ads on all devices, for all contexts and in all marketplaces. Through precise estimation of shoppers’ interaction with ads and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for talented Applied Scientists to join the team. Key job responsibilitiesAs a Applied Scientist II, you will:* Conduct hands-on data analysis, build large-scale machine-learning models and pipelines * Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production* Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving * Provide technical leadership, research new machine learning approaches to drive continued scientific innovation* Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and ConferencesBASIC 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 ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.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’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 has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. A core part of the operations is forecasting: We forecast the demand of hundreds of millions of products up to a year into the future. The forecasts are used to automatically order hundreds of millions worth of inventory weekly, decide where to place that inventory, and to establish labor plans for hundreds of warehouses.The Applied Scientist II will work with the Supply Chain Optimization Technologies (SCOT) Forecasting team and both business and engineering stakeholders worldwide to develop state of art machine learning models to forecast inbound shipment. The scientist develops novel algorithmic architectures, toward the ultimate goal of accurately predicting when and how Amazon receives shipments of millions of products world-wide. This drives down costs and enables the offer of lower prices and better in-stock selection for our customers.Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms. As an Applied Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon, as well as collaborating with academic researchers and publishing papers. Within SCOT Forecasting, our Science community values teamwork and recognizes the need to take chances and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale. Your work can be part of Amazon production system and result in concrete business impact. Key job responsibilities- Design, implement, and evaluate innovative models, agents, and software prototypes.- Collaborate with a team of experienced scientists to drive technological advancements.- Develop novel solutions to complex business problems in collaboration with partner teams.- Constructively critique peer research and mentor junior scientists and engineers- Contribute to Amazon's global science community through collaboration and publication of groundbreaking research.About the teamSupply Chain Optimization Technologies (SCOT) owns Amazon’s global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We decide how to place and move inventory within Amazon’s fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars of world-wide. Venturing beyond traditional operations research methods for sequential decision-making in inventory planning. The team combines empirical research and real world testing, backed by a robust theoretical foundation. 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 is a pioneering, dynamic, and energetic company that thrives on unique and peculiar ways. We take pride in our single-minded obsession over customer satisfaction and our ability to maintain a curious and vibrant culture no matter how large the company grows. We endeavor to build our legacy as Earth’s most customer-centric company and to continue to cultivate and nourish our innovative environment through our mission to hire the best. Amazon One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.This role within Amazon One Medical’s Accounting team will partner across finance, sales, customer success, tech, legal and business partners to lead management of various aspects of revenue recognition, accounting month-end close, controllership initiatives, and new projects. If you are a financial accounting professional who consistently exceeds expectations, who dares to make bold decisions, and whose ears perk up at the prospect of a challenge, then Amazon is the place where your career can flourish.The ideal candidate will have experience operating in a complex, high-growth stage, multi-disciplinary organization. The candidate will possess an ability to influence members of cross-functional teams to design, develop and deliver operationalization of complex accounting projects. The candidate will also have technical accounting experience and the ability to clearly present key accounting concepts to leadership. This person will have operated successfully in a fast-paced, and results-oriented environment. Strong oral and written communication skills are crucial, as well as ability to think clearly, analyze quantitatively, problem-solve, scope business requirements and prioritize.Key job responsibilities- Research and analyze technical revenue accounting guidance and writing technical accounting position papers.- End-to-end revenue process ownership to support accounting and business partners.- Understand internal control design concepts sufficient to assess the effectiveness of controls in their area and to design new processes and controls for emerging and growing business activities.- Execute judgments to keep projects moving and ensure the right decisions are reached to close the books each month.- Escalating risks and issues as necessary to leadership.- Strong sense of ownership.- Ability to identify process improvement and automation opportunities to drive positive change across the organization.- Lead delivery of accounting tasks and projects.BASIC QUALIFICATIONS- BA or BS in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, Computer Science) and 5+ years of finance experience, or Master’s degree and 3+ years of finance experience ...