Amazon.com Services LLC

Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges across Amazon's varied businesses? If so, Amazon's Legal technologies team has an exciting opportunity for you as an Applied Scientist.At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Amazon Legal technologies team plays a pivotal role in supporting all Amazon Businesses and solving complex customer problems.As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers. You will be part of a global team that is focused on solving both Legal and business problems. The position is based in Seattle but will interact with global customers and teams.Join us at Amazon Legal tech and you would have the opportunity to solve some the most complex problems surrounding the Legal industry. Please visit https://www.amazon.science for more informationKey job responsibilitiesApply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges.Collaborate with cross-functional teams, including software engineers, applied scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application 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 ...

Do you have a passion for data? Are you matriculating in a Master’s or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.For more information on the Amazon Science community please visit https://www.amazon.scienceBASIC 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- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)- Experience in data science, machine learning or data mining- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data- Must be actively enrolled in a Master's or PhD program ...

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 ...

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.Key job responsibilities- Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;- Effectively communicate technical and non-technical ideas with teammates and stakeholders;- Stay up-to-date with advancements and the latest modeling techniques in the field;- Publish your research findings in top conferences and journals.About the teamPrime Video Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

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 inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we can't even image yet. We invent new improvements every day.This role is a 6 month co-op to join AR full time (40 hours/week) from July-December 2024. Come join us in North Reading, MA, or in our newly expanded innovation hub in Westborough, MA!Both campuses provide a unique opportunity for co-ops to have direct access to robotics testing labs and manufacturing facilities. Remote and hybrid flexibility is available for this role. Amazon Robotics, a wholly owned subsidiary of Amazon.com, empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfilment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics is seeking a talented and motivated computer engineering or robotics student to assist with firmware development, testing, and support for manufacturing operations. The ideal candidate will have had experience with and interest in embedded system design, possess good communication skills, and enjoy problem solving both independently and in team settings. This position reports directly to the Firmware Manager.The Firmware Engineering Co-op will be responsible for: - Assisting the firmware team in writing code, scripts, and tests for our current and next generation of robotic systems - Assisting an interdisciplinary team of engineers in the execution of product designs from concept to production including design, prototyping, validation, testing, and certification - Having an understanding of and interest in the technical principles, theories, and concepts in embedded firmware development and testing BASIC QUALIFICATIONS- Currently working towards a BS in Computer Engineering, Robotics, or a similar field and must have at least one semester of school left to complete after the end of the co-op- Must be eligible and available for a full-time (40h / week) role from July-December 2025- Classroom and project experience in developing embedded systems, firmware, and/or control systems- Prior internship or co-op experience in a similar field ...

Do you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Amazon Robotics invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently high density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking a hands-on, seasoned Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. As a Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and active learning.As a Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a collaborative team environment.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.Key job responsibilitiesArchitect, design, and implement Machine Learning models for vision systems on robotic platformsOptimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap.Work with stakeholders across , science, and operations teams to iterate on design and implementation.Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.Prototype and test concepts or features, both through simulation and emulators and with live robotic equipmentWork directly with customers and partners to test prototypes and incorporate feedbackMentor other engineer team members.A 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!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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language ...

Join us at the cutting edge of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long-term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s scale & speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world around us to become more sustainable.Sustainability Science and Innovation (SSI) is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise. We use this expertise and skills to identify, develop and evaluate the science and innovations necessary for Amazon, customers and partners to meet their long-term sustainability goals and commitments.We are seeking an Applied Scientist to join our AI and Sustainability team, which builds machine learning and AI based tools and well-established solutions that support sustainability teams across Amazon throughout their sustainability journey, enabling Amazon to accelerate the use of AI and progress toward our Climate Pledge sustainability commitments. As an Applied Scientist, you’ll be responsible for designing, implementing and deploying state of the art solutions, to build AI-based solutions (LLM models, agents, copilots, RAGs, etc.) at scale for our long-term sustainability and climate commitments. Some examples of the problems you will work on include web-scale document extraction and conversation as they relate to sustainability, generation of decision-grade environmental impact measurements for abatement planning, tracking and reasoning, generation of assurance-grade ESG reports, novel supplier risk assessment, automated claims and substantiation, identification and sortation of waste streams, measuring the environmental impact of generative AI across its life cycle and more. You will ensure AI-based experiences delivered by Amazon uphold our Climate Pledge sustainability commitments and develop data-driven foundational services that make sustainability more effective and efficient. You will collaborate with a diverse set of sustainability scientists, subject matter experts, engineers, as well as internal partners and external researchers to develop innovative technologies that solve some of the complex and hardest sustainability problems as part of the listed examples above. Key job responsibilities- Develop scalable and effective machine-learning models and optimization strategies to solve business problems.- Conduct research on new machine-learning and AI models and develop comprehensive data foundation, accurate and scalable methods to solve our hardest sustainability problems. - Work closely with software engineers to deliver end-to-end solutions into production- Partner with sustainability SMEs (carbon, water, waste, ESG, social responsibility, etc.), tech and science teams to drive modeling and technical design for complex problems, define • Develop scalable and effective machine-learning models and optimization strategies to solve business problems.- Conduct research on new machine-learning and AI models and develop comprehensive data foundation, accurate and scalable methods to solve our hardest sustainability problems. - Work closely with software engineers to deliver end-to-end solutions into production- Partner with sustainability SMEs (carbon, water, waste, ESG, social responsibility, etc.), tech and science teams to drive modeling and technical design for complex problems, define 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- Develop scalable and effective machine-learning models and optimization strategies to solve business problems.- Conduct research on new machine-learning and AI models and develop comprehensive data foundation, accurate and scalable methods to solve our hardest sustainability problems.- Work closely with software engineers to deliver end-to-end solutions into production- Partner with sustainability SMEs (carbon, water, waste, ESG, social responsibility, etc.), tech and science teams to drive modeling and technical design for complex problems, define ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics co-op & internship opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.This role is a 3 month internship from May - August 2025. The Supply Chain team is seeking Summer 2025 Interns with interest in supply chain purchasing, logistics, planning, procurement, and process improvement/data analyst. The successful candidate for this position will have a high sense of urgency, the ability to work cross functionally, and the desire to improve the outcome for our customers.Key job responsibilities• Developing an understanding of our Supply Chain and Systems and Tools processes and identify targets for improvement in transactional and operations efficiencies• Supporting the execution of supply chain cost/lead time, safety stock, procurement, planning, warehousing/logistics, and/or new product introduction programs, including the exploration of opportunities across multiple Amazon business units• Leading projects to automate our cross-functional processes between Supply Chain, Finance, Operations, Deployment, and Engineering• Developing processes and mechanisms related to expanding capacity and programs in our Robotics Operations Center of Excellence• Developing efficient and accurate metrics and mechanisms for measuring and reporting supply chain performance. Support the introduction of new software/tools/dashboards• Actively support and foster a culture of inclusionA day in the lifeThe Supply Chain Intern works within the Supply Chain organization to support the development of business processes for the Supply Chain Planning, Strategic Sourcing, Logistics, and Systems and Tools teams. The Intern should have a good understanding of supply chain, operations, finance, and general business practices.About the teamThe Amazon Robotics Operations and Supply Chain organization sources and manufactures a portfolio of robotics technology and is responsible for getting the right materials to the right place at the right time to support our network of global fulfillment and transportation solutions. It’s an operation that works cross-functionally with teams across Amazon globally, and is driven by data and metrics. BASIC QUALIFICATIONS* Currently pursuing a Bachelor’s or Master’s in field of Operations, Supply Chain Management, Engineering Management, Industrial Engineering, or related field* Currently enrolled in college/university and must have at least one semester/term/quarter of school left to complete after the end of the internship* Dec 2025 graduation date or later* Must be eligible and available for a full-time (40h / week) internship from May - August 2025 ...

Please note the following eligibility requirements to apply for this role:• Graduate from Bachelor's degree* program in Accounting between 12/2024 and 6/2025, or within past 24 months.• Ability to relocate to Greater Seattle Area. Relocation assistance provided, if eligible.• Ability to begin full-time employment on Monday, August 11, 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit https://amazon.jobs/content/en/faq/university-talent .*Or dual degree/Master’s degree program you are completing immediately following bachelor's degreeJob summary At Amazon, we are excited to offer undergraduate students the opportunity to launch into big careers with limitless possibilities. We know searching for a full-time 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.Accounting - Financial Analyst: Amazon’s global accounting team is searching for financial accounting and audit professionals who consistently exceed expectations, who thrive in a challenging workplace, and who can actively contribute to our talented team. The global accounting organization supports our financial reporting, internal control, intercompany, and transfer pricing activities and also supports new business launches globally for Amazon in the consumer products, digital initiatives, merchant, operations, logistics, payments, and cloud computing lines of business.The program is designed to support the experience requirements for several professional licenses (e.g. CPA) and certifications (e.g., CIA, CISA), and develop a broad set of skills and experience within Accounting through a 2-year rotation program. The program offers structured training and development, networking and comradery opportunities. A Financial Analyst will support both Central Line (e.g. Financial Reporting, M&A, Intercompany), and Business-line Accounting (e.g. Inventory, Payments, Digital) throughout their time in the program. Participants will follow a 1 year/1 year rotation schedule, and be exposed to financial reporting, month-end close processes, internal controls, analytics, technical accounting, digital initiatives, and new business launches. Preferred applicants have exposure to operational accounting concepts of inventory, procurement, payables, receivables, and revenue. Successful candidates will bring diverse perspectives and varied experiences (whether from school, life, or past jobs).The Accounting position is a part of the broader Amazon Finance Rotation Program (AFRP). If you would like to learn more about the program, please review the previously recorded information session here: https://attendee.gotowebinar.com/recording/7746853706024523102 BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in a bachelor’s degree program in Accounting (or a dual degree/Master’s degree program you are completing immediately following bachelor's degree) with a graduation conferral date between December 2024 and June 2025, or within past 24 months. ...

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 want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team. The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation. Main responsibilities - Use statistical and machine learning techniques to create scalable risk management systems - Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends - Design, development and evaluation of highly innovative models for risk management - Working closely with software engineering teams to drive real-time model implementations and new feature creations - Working closely with operations staff to optimize risk management operations - Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Tracking general business activity and providing clear, compelling management reporting on a regular basis - Research and implement novel machine learning and statistical approachesBASIC 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- 3+ years of hands-on predictive modeling and large data analysis experience- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Communication and data presentation skills- Problem solving ability ...

As part of Alexa CAS team, our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), to invent and build end-to-end evaluation of how customers perceive state-of-the-art context-aware conversational AI assistants.A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, including Supervised Fine-Tuning (SFT), In-Context Learning (ICL), Learning from Human Feedback (LHF), etc.As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel methods for evaluating conversational assistants. You will analyze and understand user experiences by leveraging Amazon’s heterogeneous data sources and build evaluation models using machine learning methods.Key job responsibilities- Design, build, test and release predictive ML models using LLMs- Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, and transformation.- Collaborate with colleagues from science, engineering and business backgrounds.- Present proposals and results to partner teams in a clear manner backed by data and coupled with actionable conclusions- Work with engineers to develop efficient data querying and inference infrastructure for both offline and online use casesAbout the teamCentral Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Conversational Assistant Services (CAS) organization. Our mission is to provide an end-to-end understanding of how customers perceive the assistants they interact with – from the metrics themselves to software applications to deep dive on those metrics – allowing assistant developers to improve their services. Learn more about Amazon’s approach to customer-obsessed science on the Amazon Science website, which features the latest news and research from scientists across the company. For the latest updates, subscribe to the monthly newsletter, and follow the @AmazonScience handle and #AmazonScience hashtag on LinkedIn, Twitter, Facebook, Instagram, and YouTube.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with programming languages such as Python, Java, C++- Hands-on experience and deep understanding of the Large Language Models architectures ...

Amazon is looking for talented Postdoctoral Scientists to join the Decision Science & Technology team within Amazon RME for a one-year, full-time research position.The host team is developing novel approaches to Anomaly Detection within our Fulfillment Centers. These algorithms are used to detect issues with our equipment before they progress into breakdowns or impact business operations. A variety of data are collected on the equipment, which must be monitored using powerful and scalable solutions.The postdoc is expected to develop novel algorithms based on Machine Learning that captures and diagnoses these anomalies. Experience with transfer learning and deep learning would be valuable to produce adaptable and scalable solutions.Key job responsibilities• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.• Be comfortable with a fast-paced work with a lot of unknowns and hands-on engagement.BASIC QUALIFICATIONS• PhD in a relevant field, received within 2 years of starting the program• Proven publication record in Statistics or Machine Learning* Experience with at least one of Anomaly Detection, Transfer Learning, or Deep Learning ...

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:Our team, CreativeX optimizations, is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), reinforced learning (RL), Computer Vision, and related methods.Key job responsibilitiesWe are looking for talented Applied Scientists who are adept at a variety of skills, especially with reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge 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 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 investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.Key job responsibilitiesSearch Supply and Experiences, within Sponsored Products, is seeking an Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model– and leveraging this knowledge to help turn the flywheel of the business.As an Applied Scientist on this team you will:--Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.--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.--Work closely with software engineers to assist in productionizing your ML models.--Research new machine learning approaches.A day in the lifeThe successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.About the teamWe are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on AmazonBASIC 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 ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we can't even image yet. We invent new improvements every day.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfilment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics is seeking a talented and motivated Mechanical Engineering student to join our Hardware Development Engineering team for a Co-op assignment. The candidate will have the opportunity work with senior engineering staff on existing and new and existing tools, mechanisms, modules and systems. The ideal candidate has strong mechanical aptitude, enjoys problem solving and can potentially handle multiple parallel tasks. This position reports to a Hardware Development Engineer on the Amazon Robotics team. This role is a 6 month co-op to join AR full time (40 hours/week) from January to June 2025. Amazon Robotics co-op opportunities will be based in the Greater Boston Area, in our two state-of-the-art facilities in Westborough and North Reading, MA. Both campuses provide a unique opportunity for interns to have direct access to robotics testing labs and manufacturing facilities.Co-op Responsibilities:· Work as part of an interdisciplinary team to design and analyze mechanisms, modules or systems· Model and detail solutions in hand sketches and SolidWorks· Analyze components and systems using standard tools including SolidWorks Simulation (FEA) as well as hand calculations· Participate in brainstorming sessions· Build models and prototypes· Conduct testing· Support staff writing ECO's, specifications and plans· Create GD&TA 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!BASIC QUALIFICATIONS- Must be currently enrolled in a Bachelor's degree or Master's degree in Mechanical Engineering, Industrial Engineering, or a similar degree- Must have at least one semester/term/quarter of school left to complete after the end of the co-op- Must be eligible and available for a full-time (40h / week) 6-month co-op between January - June 2025- Graduation is December 2025 or later ...

Amazon has a history and tradition of leading the world in web-related technologies and services. One of those products is Amazon Web Services (AWS). Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS needs individuals that bring the accounting experience AND the entrepreneurial aptitude to accelerate decision making and management of the business and accounting. Also needed is the intellectual capacity to produce innovative ideas/analysis and the willingness to do the heavy lifting to implement those decisions.On the AWS Infrastructure Accounting – Supply Chain, you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously – you should too!When working on AWS Infrastructure Accounting – Supply Chain, your ability to make a difference and take ownership of your career begins on day one. You can expect a collaborative, team-driven environment that encourages employees to learn, be curious, and have a bias for action. You will contribute to optimize AWS’s supply chain, capturing operational benefits in terms of continuity of supply and cost efficiency. One of main responsibilities for the role will be an accounting owner of ERP implementation and integration for supply chain process. Key job responsibilities• Accounting owner of ERP implementation and integration for supply chain process.• Own accounting requirements for ERP implementation and integration.• End-to-end process ownership to support finance, business, tax, trade and compliance, transfer pricing and IT partners throughout the ERP implementation and integration project.• Understand internal control design concepts sufficient to assess the effectiveness of controls and to design new processes and controls.• 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.• Enhance partnerships between Accounting and various business and IT groups.• Research, conclude and memorialize technical accounting position papers.• Supporting various aspects of our accounting and reporting process.BASIC QUALIFICATIONS- 5+ years of multiple finance and accounting roles experience- Bachelor's degree in accounting or related field- Experience in ERP implementation and integration, SAP preferred ...

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

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 ...