Amazon.com Services LLC

Amazon is seeking a dynamic and motivated account representative for our Selling Partner Services team (sell.amazon.com). This position is chartered with developing and managing a sales pipeline mix of high value accounts while executing sales and account management strategies to deliver results that will exceed aggressive output goals. Specifically, this individual will be responsible for identifying and building relationships with key influencers and decision-makers within the senior management teams of existing accounts, along with internal stakeholders and cross-functional teams to create and present compelling Amazon solutions that meet and exceed customer requirements. Ideal candidates must possess 5+ years of successful B2B sales experience, preferably in e-commerce, finance, retail technology, logistics, or software industries. Demonstrated success in exceeding sales targets using a consultative, solutions-focused approach is required. Experience selling nascent products/services into new markets is valuable. Candidates must have excellent communication and presentation skills, comprehensive experience using Excel and MS Office applications, an ability to thrive in an ambiguous environment, and passion for continuous improvement through collaboration and teamwork. A bachelor's degree is required. About the teamFulfillment Recruitment and Development (FR&D) supports the virtuous cycle of increasing US 3P marketplace selection. Our vision is to identify blockers to Prime adoption and help Sellers optimize their fulfillment networks by delivering recommendations at scale. BASIC QUALIFICATIONS- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience ...

We are looking for an Applied Scientist to push the boundaries of machine learning and simulation at scale. As a member of PXT Finance, you will own the development of distributed simulations for population dynamics forecasting and expense planning. This will include the development of state-of-the-art time series and survival models leveraging deep learning techniques such as Graph Neural Networks, Recurrent Neural Networks, and Transformers. Working on a cross functional team, you will collaborate closely with data scientists, software engineers, product managers and finance managers. This is a high-impact role where you will develop applications that will be used by planners and decision makers across Amazon.Key job responsibilities- Lead the development of distributed simulations for population dynamics forecasting and expense planning. - Implement state-of-the-art graph deep learning models for tasks such as node survival analysis and spatio-temporal time series forecasting. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate forecasting solutions into Amazon’s cost planning processes.- Leverage big data processing frameworks such as Apache Spark to ingest high volume headcount data into machine learning workflows. - Apply GPU programming frameworks such as PyTorch and CUDA to deploy fast and scalable planning solutions.- Push the boundary of machine learning-based simulation and publish results in peer-reviewed journals. A day in the lifeAs an Applied Scientist in Finance you will focus on data science and machine learning engineering workflows. This means ownership of models from the idea stage all the way to production deployment. In addition to programming and system design you'll also work with customers, partners, and leaders to guide project decisionsAbout the teamWe are a small team of scientists with a focus on forecasting and simulation applications for expense and headcount planning. By keeping pace with the advance of machine learning technology are rapidly scaling our productivity and impact. We strive to deliver efficient and innovative solutions by constantly developing and improving our research and engineering skills. 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’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 ...

Revolutionize the Future of AI at the Frontier of Applied ScienceAre you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.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..Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.Amazon has positions available for LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on recommendation systems, question answering, deep learning and generative AI.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- Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI.- Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible.- Explore the vast potential of generative AI and its applications across industries.- Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.- Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.- Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learningBASIC 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 in Java, C++, Python or related language- Experience with one or more of the following: Large Language Models, NLP, Natural Language Understanding, Generative AI, Transformers, Fine-tuning, Recommendation Systems, Deep Learning, Named Entity Recognition, Statistics, Neural Networks, Question Answering ...

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

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative applied scientist with a strong background in responsible AI, deep learning and large language models (LLMs) techniques to develop and deploy world-class foundation models.Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources and collaborate with colleagues cross-AGI to achieve this objective. Your work will have a direct impact to AGI's business and customers through the foundation models we develop and depoly. About the teamOur team's mission is to develop and deploy industry-leading foundation models that set the benchmark for the industry, comply with the relevant responsible RAI policies and delight our customers in the process.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with responsible AI- Experience with deep learning techniques- Experience with LLM model training and fine-tuning ...

Work hard, have fun, make history. That's what we do every day at Amazon. The GREF AMER Commute Planner will be a member of the Global Real Estate & Facilities (GREF) team that oversees corporate office space and programs globally. You will be an integral part of the AMER Commute Planning Team responsible for helping to delivering GREF Commute, our world class commuting program for employees and visitors. GREF Commute includes Amazon Ride (commuter, last mile, and intercampus shuttles), public transit and car-free programs, bicycle programs, Amazon managed parking assignments, and employee engagement and events. The GREF Commute Planner will work with the AMER Program Manager to implement the commute vision for AMER and their individual Areas. This role will work collaboratively with the GREF Amer Commute Program Manager, GREF Commute staff, and AMER wide vendors to identify best practices, incorporate employee feedback, implement innovative programs, and monitor progress. This is an exciting role working on big initiatives to improve employee experience and help Amazon meet its goals. Example initiatives include: ● Decreasing single occupancy rides in support of Amazon’s Net Zero commitment ● Reimagining how parking is managed from an employee experience and technology standpoint ● Developing methodology and metrics for incorporating customer feedback into program planning and developmentThe role will be based in Seattle, WA and may include some travel.Key job responsibilitiesThe GREF AMER Commute Planner will work collaboratively with the GREF AMER Commute Program Manager and Global Real Estate & Facilities teams on:• Program Innovation: Bring innovative ideas and industry best practices to elevate commute program offerings tailored to the local context. • Employee Engagement and Feedback: Implement a communications and engagement strategy in partnership with GREF Commute Regional Leads to promote programs and offer avenues for employee feedback. Support Regional Leads to successfully respond to escalations and support consensus and alignment with business leaders.• Program Requirements: Support Regional Leads to meet local program requirements, including trip reduction, survey, or other requirements. • Forecast: Support development of AMER commute budget forecasts. • Vendor RFP Processes: Support development of Requests for Proposals (RFPs) and selection process. • Partnerships: Support partnerships with regional transit agencies and Amazon Public Policy and Sustainability teams.• Program Monitoring: Support development of dashboards and systems to track GREF AMER Commute performance. Bring a curious and analytic mindset to pull key takeaways from the data to inform program changes and employee engagement strategies. Above all, we are looking for someone who: • Has a passion for sustainable transportation planning• Brings a sense of curiosity and is an inquisitive self-starter and a natural problem solver• Is interested in commute program planning and implementation • Works successfully across large, cross-functional teams • Is a big thinker, using out of the box thinking to solution and innovate BASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience using data and metrics to determine and drive improvements- Experience owning program strategy, end to end delivery, and communicating results to senior leadership- 4+ years of transportation planning experience- Bachelor’s degree in transportation planning, economics, public policy, engineering, or a related field ...

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

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.This role is a 6-month co-op to join AR full time (40 hours/week) from January thru July 2025. Amazon Robotics Co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in (BOS27) Westborough, MA and (BOS12) North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.We are seeking a talented and motivated Product Development Engineer Co-Op to join our dynamic team. This is an exciting opportunity to gain hands-on experience implementing best-in-class processes within a complex design and manufacturing environment. Your key responsibilities will include applying Design for Excellence (DFx) principles during the new product introduction (NPI) process for a wide range of products, from initial concept through beta testing. You will also be tasked with integrating customer requirements for safety, manufacturability, deployability, and supportability into new product designs. Additionally, you will collaborate cross-functionally to develop and improve DFx feedback and services, guide product lifecycle changes, lead bill of material (BOM) strategy, and drive technology feasibility and improvement projects. Using advanced problem-solving techniques, you will identify and address technical root causes. To excel in this role, you should have a strong foundation in both design and manufacturing principles, combined with the capability to make impactful business decisions. Practical experience through prior internships, co-ops, or relevant extracurricular projects is highly preferred. This 6-month internship is an excellent opportunity to apply your technical skills in a fast-paced, innovative environment and make a tangible impact on the product development process. If you're passionate about problem-solving, thrive in a collaborative team setting, and want to contribute to the success of a leading technology company, we encourage you to apply.This Co-op will be responsible for:- Creating mechanisms, processes, and/or documentation to improve product development process- Gather, analyze and document functional/technical requirements for new projects, enhancements to existing solutions and production issues reported by end users- Drive resolutions within supply chain network and address manufacturability, production or design issues- Propose design changes that will enhance product manufacturability and testability- Support the design and implementation of production manufacturing tools and fixtures- Participate in brainstorming sessions- Support the build of models and prototypes- Support physical prototype testing, compile feedback and track to completion.- Support staff writing and evaluating Engineering Change Orders (ECOs), specifications and plansA 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- Pursuing a Bachelor's or Master's degree in Mechanical Engineering, Industrial Engineering, or a related field- Availability for a full-time (40 hours/week) 5-month co-op between January - June 2025- Graduation planned for December 2025 or later- Ability to travel up to 15% required (domestic and international) ...

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

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

Please note: this role requires open flexibility to work 10 hour overnight shifts (late afternoon to early morning hours) and will be scheduled on a front-half (Sunday – Wednesday) or back-half (Wednesday – Saturday) schedule. Shifts will be assigned upon starting in the role and could be subject to change based upon business need.This position requires in-role training at an operating site which will be 2+ weeks in duration. This training will be located 50+ miles away from the home site location. All travel accommodations for training will be booked and paid for by Amazon.ABOUT AMAZONOur Worldwide 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 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.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.Global Specialty Fulfillment (GSF) is an exciting organization within Amazon specializing in delighting our customers with speed in which we can make items appear on their doorsteps. We are a combination of operations and support teams aligned to innovate for the last mile customer experience. Come build the future with us!Key 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 (delivery stations include outside loading departments, and grocery locations include refrigerated environments) - Work a flexible schedule (weekends and/or overnight shifts)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 ...

The Amazon Search team creates powerful, customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Product Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.The Search Relevance team focuses on several technical areas for improving search quality. In this role, you will invent universally applicable signals and algorithms for training machine-learned ranking models. The relevance improvements you make will help millions of customers discover the products they want from a catalog containing millions of products. You will work on problems such as predicting the popularity of new products, developing new ranking features and algorithms that capture unique characteristics, and analyzing the differences in behavior of different categories of customers. The work will span the whole development pipeline, including data analysis, prototyping, A/B testing, and creating production-level components.Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world’s leading Internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.Please visit https://www.amazon.science for more informationBASIC 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 ...

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 ...

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.This role is a 6 month co op to join AR full time (40 hours/week) from January thru June 2025. Amazon Robotics Co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.The Manufacturing Engineer Co-op will be responsible for delivering and supporting operations and production projects by partnering with Amazon Robotics Tech Ops Engineering process owners and other cross-functional team members. This Co-op will be responsible for: - Creating mechanisms, processes, and/or documentation to improve material approval process or production floor operations - Gather, analyze and document functional/technical requirements for new projects, enhancements to existing solutions and production issues reported by end users - Drive resolutions within supply chain network and address manufacturability, production or design issues - Propose design changes that will enhance product manufacturability and testability - Qualify supplier production processes based on dimensional data, control plans, PFMEAs - Design and implement into production manufacturing tools and fixturesA 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- Are enrolled in a co-op program at your university- Are 18 years of age or older ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Come work on the Amazon Prime Air Team!Our Prime Air Drone Vehicle Design and Test team within Flight Sciences is seeking an outstanding Aerodynamic Test & Evaluation Engineer who combines hands-on technical skills with test planning and coordination experience. This person will own our wind tunnel testing system and process and have opportunities to also own flight test instrumentation and support our acoustic testing systems. This person must be comfortable supporting a team of design engineers and scientists in a fast-paced, inter-disciplinary testing environment. We are looking for someone who is ready for diverse challenges; with a willingness to adapt to obstacles and an attention to detail. You will work hard, have fun, and of course, make history!Key job responsibilities- Plan, develop, and execute wind tunnel tests for full vehicle, propellers, and other test articles- Fabricate and assemble wind tunnel model components and wind tunnel test fixtures and control systems- Lead the integration and testing of new test articles and fixtures- Build wiring harnesses for power electronics and test instrumentation- Run diagnostics on power electronics and test instrumentation- Complete calibrations with test instrumentation (load cells, pressure transducers, and other)- Develop standard operating procedures and instructions for experiments- Coordinate transportation of test equipment to and from testing locationsAbout the teamOur Flight Sciences Vehicle Design & Test organization includes teams that span the following disciplines: Aerodynamics, Performance, Stability & Control, Configuration & Spatial Integration, Loads, Structures, Mass Properties, Multi-disciplinary Optimization (MDO), Wind Tunnel Testing, Noise Testing, Flight Test Instrumentation, and Rapid Prototyping. BASIC QUALIFICATIONS- Bachelors Degree in aerospace engineering, mechanical engineering, electrical engineering, and 3+ years experience or equivalent- Hands-on experience designing, building, or operating aerodynamic test systems- Experience with wind tunnel testing and instrumentation- Experience designing and building mechanical and electrical systems, test models, and test fixtures ...

Do you want to use your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide? If you do, People eXperience Technology Central Science (PXTCS) would love to talk to you about how to make that a reality. PXTCS is an interdisciplinary team that uses economics, behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that both improve Amazonian’s wellbeing and their ability to deliver value for Amazon’s customers. We work with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world.As an applied scientist on our team, you will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, define the science vision and translate it into specific plans for applied scientists, as well as engineering and product teams. You will partner with scientists, economists, and engineers on the design, development, testing, and deployment of scalable ML and econometric models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership, organizational ability, and technical strength. Key job responsibilitiesAs an Applied Scientist, ML Applications, you will:• Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers• Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.• Partner with the engineering team to deploy your models in production.• Partner with scientists from across PXTCS to solve complex problems and use your team’s expertise to accelerate their ability get their work into production.• Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them.BASIC QUALIFICATIONS- Master's Degree in machine learning, recommender systems, statistics, computer science, operations research, or other highly relevant field- Three or more years’ experience applying ML to solve complex problems for large-scale applications- One or more years of experience specifically with deep learning (e.g., CNN, RNN, LSTM)- Experience in using Python or other programming languages ...

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.For more information, please visit https://amazonundergradstudent.splashthat.com.Join Amazon's dynamic environment as a Supply Chain Manager Intern, where you will play a crucial role in shaping and optimizing various facets of our operations, concentrating on optimizing and managing the flow of goods, information, or services within the supply chain network. As a Supply Chain Manager Intern, you'll take end-to-end ownership of operations, emphasizing capacity planning, logistics optimization, network design, and analysis of operational efficiency.Job Responsibilities• Concentrate on optimizing and managing the flow of goods, information, or services within the supply chain network.• Balance supply and demand, assess and improve the efficiency of distribution networks, warehouses, or logistics operations.• Analyze and synthesize data to identify opportunities for enhancing customer experiences and operational efficiency in network capacity.• Collaborate with stakeholders across different functions, influencing and facilitating agreements to achieve shared network capacity goals.• Manage cross-functional network capacity initiatives, ensuring continuous improvement and adherence to lean philosophy at scale.• Identify and deliver operational improvement opportunities in network capacity, focusing on inventory management, logistics strategy, and transportation optimization.• Monitor and optimize key network capacity metrics to ensure the smooth flow of goods or services through the supply chain network.BASIC QUALIFICATIONS- Currently pursuing a Bachelor's degree in Supply Chain, Industrial Engineering or related field, with a graduation conferral date between December 2025 and June 2026- Knowledge of Excel (Pivot Tables, VLookUps) and SQL ...

Amazon Prime Air is seeking a Regulatory Affairs Specialist. This role is part of our US Regulatory Affairs and Strategy team. Prime Air is leading the industry in expanding drone delivery at scale. One of the challenges in this mission is to integrate in operations with other aircraft and other drone operators. This role will be responsible for developing and implementing a strategy to enable Prime Air to further integrate into airspace of various levels of complexity and different levels of classification. This role will will integrate activities across internal teams such as engineering and operations, and serve as leader Prime Air’s on the topic with FAA and other industry stakeholders.We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. Come work on the Amazon Prime Air Team!Key job responsibilities• Develop and implement strategies for integrating Prime Air operations into various airspace classifications, with a focus on complex environments such as Class B and C airspace.• Collaborate with internal teams (Engineering, Flight Operations, Legal, Public Policy, Public Relations) to align on strategy, messaging, and regulatory requirements for drone operations.• Engage with industry stakeholders to influence and shape industry standards guiding future policies on airspace integration between drones and traditional aviation.• Serve as the primary liaison between Prime Air and the Federal Aviation Administration (FAA) on matters related to airspace integration and regulatory compliance.• Monitor and analyze regulatory developments in the drone industry, providing insights and recommendations to senior leadership on potential impacts to Prime Air operations.• Develop and maintain relationships with key regulatory bodies, industry associations, and other relevant organizations to stay informed of emerging trends and regulations.• Participate in industry working groups and committees to represent Amazon Prime Air's interests in shaping future drone regulations and standardsBASIC QUALIFICATIONS• Bachelor, or Master, degree from an accredited course of study, in aviation/aerospace, aerospace engineering, or equivalent industry experience • 7+ years of working with aviation regulations, regulatory permissions, and/or aviation stakeholder outreach • Familiarity and experience with FAA regulations and associated policies pertaining to air traffic management/separation of aircraft and how FAA air traffic systems work, both technically and procedurally• Detailed oriented and highly organized, with ability to prioritize, multi-task, and work independently with limited guidance in a fast-paced environment. • Excellent interpersonal, communication (e.g., verbal, written, and listening), and presentation skills. ...