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Amazon Ads operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions. We partner with advertisers 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 devices. If you’re interested in joining a rapidly growing organization working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.We’re looking for a results oriented Account Manager who is passionate about partnering with our advertisers, educating them and helping to solve ambiguous business problems, mitigating risks before they become roadblocks. As an Account Manager, you manage and deliver against complex advertiser goals and problems to drive revenue and achieve revenue targets. You nurture customer relationships and create revenue opportunities from the advertisers you own. You’ll not only dive deep into data to understand trends, but also communicate the “why” behind results and make actionable recommendations to internal and external stakeholders. Additionally, you’ll be able to leverage Amazon’s proprietary data to provide strategic and personalized recommendations, influencing both your internal team and your external customer to facilitate them reaching their business goals. This role is highly collaborative, working with Creative, Senior Sales, Product, and Retail partners and will drive process improvement to gain efficiency and foster collaboration. The Senior Account Manager’s strategic digital expertise and influence is considered critical to unlocking greater value and impact for our advertisers.Key job responsibilitiesResponsibilities• Become a knowledgeable partner on Amazon Advertising solutions• Develop annual brand and media strategies for growth based on overall advertiser goals/objectives• Develop campaign strategies and audience targeting recommendations per brand and product line• Evaluate KPIs and optimize campaign performance using a data driven approach• Perform in-depth data analysis to deliver actionable insights & recommendations that influence short term / long term digital media strategy• Educate advertisers on performance metrics, insights, and how to achieve greater results on Amazon• Work cross-functionally with sales and other Amazon partners to drive incremental revenue and increase advertiser satisfactionBASIC QUALIFICATIONS - 5+ years relevant experience in a client facing role including but not limited to digital marketing, analytics etc. - Experience in Omni-channel marketing, display, over-the-top (OTT), or search marketing - Adept at solving problems that span business and technology - Influence process improvement that scales broadly; inventing and simplifying within existing processes ...

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 that 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 imagine yet. 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 is seeking Applied Science Interns and Co-ops with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells. As an Applied Science Intern/Co-op at Amazon Robotics, you will be working on one or more of our robotic technologies such as autonomous mobile robots, robot manipulators, and computer vision identification technologies. The intern/co-op project(s) and the internship/co-op location are determined by the team the student will be working on.Please note that by applying to this role you would be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics research within areas such as computer vision, machine learning, robotic manipulation, navigation, path planning, perception, optimization and more. Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-roboticsBASIC QUALIFICATIONS- Currently enrolled in a PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field- Degree program must be based in the United States with an expected graduation of December 2025 or later- Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op- At least 1 year of relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related- Experience programming in Java, C++, Python, or related- Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.Amazon Business (AB) teams are disrupting the status quo of Business to Business (B2B) by delivering new, efficient purchasing solutions to individual proprietors, to small-medium businesses, to large global organizations (and everything in between). Within AB, the AB Third Party (AB3P) Seller Marketplace is multi-billion-dollar P&L connecting business customers with third party sellers globally, and relentlessly innovating across a broad spectrum of functions including expanding our selection, building B2B-specific features, offering everyday low prices, improving world-class delivery, and setting up our sellers for success.AB3P is seeking a dynamic and motivated Sales Representative for our third-party direct sales team. The Sales Representative will be responsible for recruiting and assisting businesses to sell their products to Amazon Business customers. The Sales Representative will be expected to develop and manage a transactional sales pipeline of targeted accounts while executing sales strategies to meet selection and revenue goals. In this role, you will be responsible for prospecting, identifying, initial outreach, follow-up, and closing prospects from commitment to launch to selling products on Amazon Business. You will be the point of contact for owners and senior leadership at companies throughout the sales process and responsible for identifying and building relationships with influencers and decision makers. You will also work with internal stakeholders and cross-functional teams to create and present compelling solutions that exceed customer requirements and accelerate new seller growth on Amazon Business.This role can be based in one of the following locations: Seattle, WA; Austin, TX; Tempe, AZ; Dallas, TX; Arlington, VA; New York, NY; or Boston, MA.Key job responsibilitiesA successful candidate will have the skills and passion to drive Selling Partner business growth and deliver a positive experience with our program. The key responsibilities of a New Seller Recruitment Rep include but are not limited to:* Execute a playbook for the recruitment and on-boarding of net-new Selling Partners, working together with the leaders across various stakeholder teams including Compliance, Legal, Marketing, Restricted Products, Listing Creation, Integration, and Category Business Development team.* Identify and build relationships with key influencers and decision makers within prospective accounts, along with internal stakeholders and cross-functional teams to*Create and present compelling Amazon solutions to drive performance improvements across key inputs including selection, listing quality, pricing, and fulfillment* Develop and manage a transactional sales pipeline of prospect accounts while executing sales strategies that drive revenue and exceed customer expectations.* Conduct deep dive analysis on issues affecting Seller business performance and communicate the Voice of the Seller internally as an input into product development and process improvement* Demonstrate time-management skills and the ability to work independently while using centralized resources, policies and procedures.* Develop a thorough understanding of the e-commerce industry including knowledge of B2B product offeringsBASIC QUALIFICATIONS- 1+ years of professional or military experience- Experience prospecting, qualifying, and cold-calling companies- Knowledge of Microsoft Office products and applications- Experience and track record of exceeding sales goals ...

At Amazon, we are excited to offer graduate 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.Senior Retail Vendor Manager (VM): Amazon is looking for a passionate candidate with the proven ability to build strategic, long term business relationships within the Amazon Stores organization. The candidate will be responsible for monitoring and reacting to industry trends, within a determined Amazon Stores retail business, and own the top and bottom lines of the P&L. They will develop selection and categories, deliver innovative growth solutions and work with internal teams to deliver the best customer experience. The candidate must be a thoughtful, high-energy, self-starter, with strong business acumen, acute analytical skills, and the ability to work with teams internally and externally. The candidate must thrive in a fast-paced, data-driven environment. The candidate will work with vendors of all sizes – and must have the leadership presence and communication skills to represent Amazon at all levels of these organizations. They will need to be able to work across multiple internal teams, at high levels of leadership, to address customer experience issues within the category. The candidate must also possess strong analytical acumen and be comfortable drawing metric-based conclusions while applying a customer centered lens to decisions.Key job responsibilities- Creates long-term category strategies that drive topline growth- Partner closely with operations, supply chain, marketing, advertising, finance, and product management to drive the business- Develops and implements action plans based on deep-dive analysis of input metrics- Drives customer and business opportunities to deliver long-term strategy for multiple sub-categories- Owns the relationship with strategic vendors, including negotiations to deliver top- and bottom-line category growth- Owns the Retail P&L for multiple categories; develops plans that drive revenue and margin improvement for the business- Dives deep into inputs and understands the downstream impact of changes to pricing, selection, and convenience for multiple categories- Identifies areas that need vendor attention and directs team to address issues; acts as escalation point, helping team and vendor(s) resolve conflictsAbout the team- Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.- Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team.BASIC QUALIFICATIONSAre 18 years of age or older.Graduated in the last 24 months or currently enrolled in MBA program at the time of application with anticipated graduation dates between December 1, 2024 and Sept 30, 2025.3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

Our vision is to be the world's most fan-centric Sport company and for Sports entertainment.If this sounds like the type of experience you'd like to help build, apply here and let's chat!Who we are:Our team is responsible for Prime Video Sports Playback experiences. We are coders and crafts people who care as much about how things look and feel as to the way they function and perform. We seek diverse perspectives and create accessible experiences for all people to enjoy. We strive to move fast for customers but prioritize long term decisions that will scale as we grow. What we're looking for:[If you only meet some criteria go ahead and apply, let’s have a conversation.]We are looking for mid and senior level Software Development Engineers who are passionate about building compelling app experiences. The ideal candidate will be passionate about simple and elegant software solutions, customer-centric products, cutting-edge features, and getting solutions in front of our millions of customers.• Strong background in OO design.• Solid time mgmt./communication skills• Ability to support multiple projects at a time.• Brings strong opinions but loosely held. (Lets best idea rise to the top.)• Comfort adapting to new development environments and changing business requirements, learning new systems, creating reliable/maintainable code, and finding creative and scalable solutions to difficult problems.What you’ll do:• Own architecture and feature development for our Android and FireTV Video Player.• Partner with other engineers to ideate, design, and build scalable software solutions.• Drive test and release automations to increase system reliability and speed to market.• Collaborate with product managers to influence decisions that deliver customer value.• Shape the future of Amazon’s Prime Video on mobile and living room.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to push the boundaries of what's possible in robotic intelligence. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, scence understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between cutting-edge research and real-world deployment at Amazon scale.In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.Key job responsibilities- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish- Drive independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization- Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments- Collaborate with platform teams to optimize and scale models for real-world applications- Contribute to the team's technical strategy and help shape our approach to next-generation robotics challengesA day in the life- Design and implement novel foundation model architectures, leveraging our extensive compute infrastructure to train and evaluate at scale- Collaborate with our world-class research team to solve complex technical challenges- Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems- Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists- Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applicationsAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAt Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through groundbreaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.BASIC QUALIFICATIONS- PhD in computer science, machine learning, engineering, or related fields- Experience programming in Java, C++, Python or related language- Publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL)- Experience developing and implementing deep learning models- Strong programming skills in Python and PyTorch/JAX- Track record of solving complex technical problems ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud powering hundreds of thousands of businesses in hundreds of countries around the world. As part of the AWS Infrastructure organization, Data Center Planning and Delivery (DCPD) prepares for, plans, and builds the data centers that comprise the AWS cloud.We are seeking an experienced Program Manager to work alongside a talented team of Technical Infrastructure Program Managers, Business Development executives, Construction Program managers and Energy PMs to help us deliver Data Center Capacity for our customers worldwide. The role will involve working in a fast paced environment and you will be leading programs to drive operational excellence and process improvements across a number of cross functional projects.If you love being at the forefront of industry growth and development, applying your analytical skills to derive insights and come up with solutions, then this is the right role for you. This is a role offering an opportunity work cross-functionally and across multiple regions. You will have the opportunity to build new programs ground up and scale existing programs/ initiatives.Key job responsibilities- Own and drive performance of key goals / metrics across the team.- Understand key processes and identify areas of improvement.- Deep dive misses to understand root causes and put in place long term solutions/ fixes.- Present findings/ recommendations and goal performance in Weekly/ Monthly/ Quarterly business reviews.About the teamAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 4+ years of program or project management experience- 4+ years of defining and implementing process improvement initiatives using data and metrics experience- Experience using data and metrics to determine and drive improvements- Experience working cross functionally with tech and non-tech teams- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL- Bachelors’ Degree in Business, Economics, or STEM (Science, Technology, Engineering, Mathematics).or equivalent related experience ...

Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.Region Services Corporate Infrastructure (RSCI) is looking for an experienced Windows Systems Engineer with a deep knowledge of Windows Active Directory and desktop services, including virtual desktops and infrastructure. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with full-scope polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.10012Key job responsibilities- Manage/Operate and Maintain Active Directory and component systems (DNS, DHCP, NPS, Exchange)- Security compliance to include hardening the OS and desktop applications.- Manage metrics and monitoring services.- Creates and updates system documentation for engineering, operations, and support teams.A day in the lifeOur mission is to deliver robust, highly available, and easy to use services to our internal customers in support of the Amazon Dedicated Cloud for U.S. Government customers. We are looking for a motivated engineer to deliver results for our customers. This is a hands-on position where your daily role will maintain and enhance existing services, including Windows build / deployment capabilities, fulfilling requests for application packaging / deployment and break / fix scenarios for all technologies the team manages. This role will work closely with the Security Compliance team to ensure security compliance with all desktop environments.You will have a strong and diverse technical background that allows you to approach problems with confidence and ingenuity. You must be a “lifelong learner”, embracing the rapid innovations in technology and understanding how to leverage them to continue to improve our products. A successful Windows Client Engineer will drive the design and implementation of new services, find ways to improve and automate our existing services, and provide escalation and mentoring for junior team members. About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- 5+ years supporting Windows family of operating systems to include 4 of the following 8 core competencies: AD, DHCP, PowerShell, Email workflow, SCCM, SCOM, Win OS, DNS, and disaster recovery/business continuity- Knowledge of networking basic skills and troubleshooting- Demonstrated ability to script in the Windows environment using PowerShell.- Experience administering, maintaining, and operating Active Directory Windows based networks- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Amazon’s AGI Information is seeking an exceptional Applied Scientist to develop science advancements in the Amazon Knowledge Graph team (AKG). AKG is re-inventing knowledge graphs for the LLM-era, optimizing for LLM grounding and other LLM-based customer experiences. At the same time, AKG is innovating to utilize LLMs in the knowledge graph construction pipelines to overcome obstacles that traditional technologies could not overcome.As a member of the AKG Science team, you will have the opportunity to work on interesting cutting edge problems with immediate customer impact. The team is addressing challenges in automating gap detection, data ingestion, fact verification, query optimization and entity resolution. You will work with the entity resolution team to develop generic entity resolution models that work for every class of data in AKG (e.g., people, places, movies, etc.), that scale to hundreds of millions of entities, and that work incrementally. You will collaborate with other scientists to develop entity representations, training data and matching models to solve the problem. You will also work to optimize models to be performant and cost-effective in production.A successful candidate has a strong machine learning and LLM background, identifies and adapts state of the art techniques to solve new problems, builds POCs quickly to identify promising techniques and reject ideas that do not work, and enjoys collaborating with engineering teams to ship solutions incrementally via rapid experimentation. A successful candidate is an avid reader of the scientific literature and works to publish in peer reviewed conferences.Key job responsibilitiesAs an Applied Scientist, you will apply scientific rigor to your work. You will work incrementally, setting up and executing experiments informed by rigorous failure space analysis of prior experiments. You have a knack for writing clear, succinct and informative reports of your experiments. You collaborate and seek guidance from other scientists on your team to define the next experiments. You work with engineers to understand deployment requirements and constraints, and work to address them. You work continuously with customers and stakeholders to simplify and adapt to deliver for our customers.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 ...

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 Flight Sciences High Fidelity Methods (HFM) team is looking for an outstanding member to develop and verify our Aerodynamic Database and associated aerodynamics models used for engineering analyses and vehicle simulations. These models are the backbone of every flight simulation performed within Prime Air and are a critical element in the aircraft design, verification, and certification process.These models are used to predict many attributes of the vehicle performance including range, maneuverability, tracking error, and aircraft stability. They are a key input to design decisions, vehicle component sizing and flight software algorithm development. The accuracy and reliability of these flight model are critical to the success of Prime Air.Key job responsibilitiesThe person in this role is responsible for owning the development, deployment, verification, and maintenance of models from end-to-end. This includes the initial gathering of the downstream customer needs, identifying the most suitable modelling approach, coordinating the generation of input data, training models, developing and maintaining software interfaces, and verifying the model accuracy.This person will also be responsible for determining the most suitable modeling approach for a given physical phenomena. They need to possess knowledge of various machine learning techniques, and their respective advantages and limitations. They will need to have a detailed understanding of the types of physics to be modelled including vehicle aerodynamics, multibody dynamics, and atmosphere physics. They will be responsible for designing experiments for generating data used to train and verify surrogate models. They need to have a basic understanding of the methods used to generate high-fidelity aerodynamics predictions including CFD, wind tunnel testing, and flight testing. They will be responsible for validating the models by leveraging uncertainty quantification, system identification, and statistical analyses.BASIC QUALIFICATIONS- Bachelors Degree in aerospace engineering, mechanical engineering, physics and 5+ years experience or equivalent- Experience with flight vehicle design, simulation, development, and verification & validation (V&V)- Proficient with at least one modern programming language (e.g. C++, Python, Java, VBA) ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.This role is an On-site 6 month co-op from July - December 2025.The Robotics Manufacturing and Technical Operations team is seeking a Manufacturing Planning Co-op to develop and manage new manufacturing initiatives which will support high volume, high mix manufacturing and emerging products and technology. The Manufacturing team works with partner teams in early design stages and develops processes to launch and sustain manufacturing for complex robotics equipment. This role will work closely with manufacturing, supply chain, and technical operations to operationalize new insourcing or optimization opportunities and manage execution deliverables throughout the lifecycle of the project. The role will have visibility and project ownership across all manufacturing operations and will lead critical planning activities for world class manufacturing execution. The role collaborates with leadership and stakeholders to develop performance metrics, drive best practices, and lead process and tool improvements that align with the strategic priorities of the team. Key job responsibilities* Identifies and executes small to medium sized supply chain/operations projects* Integrates key planning metrics with broader business metrics to deliver optimal customer experience* Provides scalable solutions for specific business identified opportunities* Works with internal technical teams to drive a single system process change (e.g., inventory tracking) by defining requirements, driving prioritization, and managing implementation* Evolve and maintain standard operating procedures for manufacturing operations to support future program management in a high mix, high volume manufacturing environment* Support weekly, monthly and quarterly business planning cycles and track performance metrics/KPIs* Provide recommendations for operational improvements including utilization of ERP/system capabilities* Continuous improvement projects* Troubleshooting escalations for receiving, shipping, or general material flow * Ability to travel (~10%) to support projects when normal business travel practices resumeA 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!About the teamThe Amazon Robotics Manufacturing and Technical Operations team (RMTO) works across the Global Robotic Operations department to enable manufacturing scalability and adaptability to best serve the Amazon Operations Network. Through strategic thought leadership, we evaluate manufacturing constraints across the product portfolio to deliver solutions that optimize resource allocation and maximize customer responsiveness. Our team’s holistic and peculiar mindset allows us to develop the manufacturing leaders of tomorrow while delivering results for our customers.BASIC QUALIFICATIONS- * Pursuing a Bachelor’s/Master’s degree in an Engineering major, Supply Chain Management, or other equivalent discipline * Currently enrolled in college/university and must have at least one semester/term/quarter of school left to complete after the end of the co-op * Must be eligible and available for a full-time (40h / week) from July - Dec 2025 * December 2025 graduation date or later * Microsoft Office skills, including advanced knowledge of Excel ...

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 internship/co-op/full-time 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.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025.Key job responsibilities- Analyze historical data to gauge relative performance metric changes, highlighting causation. - Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement- Work with partner teams to onboard data from other Amazon data providers- Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions- Support existing dashboards making edits to the underlying SQL, metric definitions, and customer facing visualizations- Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards- Recognize and implement best practices and automation opportunities for reporting and analysisBASIC QUALIFICATIONS- Are enrolled in or have completed a Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field- Are enrolled in a academic program that is physically located in the United States- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum ...

We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.In this role you will influence our team’s science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state of the art machine learning research.You will be owner of the solutions that you create, you will lead junior members of the team, and you will work closely with Software Development Engineers to deploy the models into production.Your solutions will drive the technology behind agentic solutions, automated evaluations, and sophisticated RAG at Amazon.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience 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 ...

Do you enjoy solving challenging problems and driving innovations in research? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers.As a Research Science intern focused on Operations Research and Optimization intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes and work with massive datasets. As you navigate through complex algorithms and data structures, you'll find yourself at the forefront of innovation, shaping the future of Amazon's fulfillment, logistics, and supply chain operations.Imagine waking up each morning, fueled by the excitement of solving intricate puzzles that have a direct impact on Amazon's operational excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions. You'll then immerse yourself in a world of data, leveraging your expertise in optimization, causal inference, time series analysis, and machine learning to uncover hidden patterns and drive operational efficiencies.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Amazon has positions available for Operations Research Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Optimization, Causal Inference, Time Series, Algorithms and Data Structures, Statistics, Operations Research, Machine Learning, Programming/Scripting Languages, LLMsIn this role, you ain hands-on experience in applying cutting-edge analytical techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights to drive operational excellence, we encourage you to apply.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the lifeDevelop and apply optimization, causal inference, and time series modeling techniques to drive operational efficiencies and improve decision-making across Amazon's fulfillment, logistics, and supply chain operationsDesign and implement scalable algorithms and data structures to support complex optimization systemsLeverage statistical methods and machine learning to uncover insights and patterns in large-scale operations dataPrototype and validate new approaches through rigorous experimentation and analysisCollaborate closely with cross-functional teams of researchers, engineers, and business stakeholders to translate research outputs into tangible business impactBASIC QUALIFICATIONS- Are enrolled in a PhD in operations research, applied mathematics, theoretical computer science, or equivalent- 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 ...

The AWS Intelligence Initiative program is hiring cleared builders for a unique opportunity to work with some of the best and brightest engineers and technical leaders. Builders undergo an intensive 3-6 month training and development program to learn about operational culture, enhance their technical skills through a hands-on job path curriculum, to obtain a holistic view of our technology, dedicated mentorship, and support from our program’s alumni. We are seeking highly motivated builders who are focused on learning operational excellence and troubleshooting complex system operations, interested in building an understanding of Linux, networking and general knowledge of cloud services. Upon graduation from our program, builders grow into engineering roles as part of the AWS Region Reliability organization. Region Reliability is the cornerstone of continuous engineering improvement by driving efficiencies across AWS through innovation, automation, and operational excellence. This new organization was created to drive consistency in operational practices across AWS, reducing duplicative efforts and refining and accelerating operational excellence and best practices for AWS Amazon Dedicated Cloud Regions to provide a simpler experience for our customers and AWS Builders.In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You are learning to execute on well defined technical implementations following a Standard Operating Process and learning from more experienced builders around you. You will build a general understanding of operational risks and learn how to avoid taking unnecessary risks. After gaining technical experience you may begin to identify operational concerns and resolve or escalate concerns in a timely manner.This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success. You will become an AWS Services platform diagnosis, response, measurement, and automation expert. You will support and simplify the operational scalability that sustains the platform's insane growth. You will measure your success and it will be visible.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.10012Key job responsibilitiesThis position is perfect for you if you:- Would like to gain a deeper understanding of AWS service teams, capabilities, and functionality.- Regularly seek simple ways to approach complex issue or processes.You will have the opportunity to:- Explore the inner workings of AWS and how its services communicate.- Engage other AWS engineers world-wide to deploy, configure, and troubleshoot 150+ services.- Express your creative, innovative ideas to make our team even more awesome!- Provide invaluable support to the U.S. Intelligence Community.A day in the lifeAs an ADCE Associate, you will be learning how to play a crucial role in ensuring the smooth and efficient operation of our AWS infrastructure. Your primary responsibility will be to execute a defined set of operational tasks on a schedule, and learning how to identify any ineffective processes or technical implementations that may be hindering performance, availability, or maintainability. You will learn how to understand operational risks and avoid taking unnecessary risks. You will work with more senior engineers that identify operational concerns, and gain familiarity with how teams are responsible for resolving, mitigating, or escalating them in a timely manner. Supporting mission critical workloads involve being present in a Remote Managed Facility (RMF) 5 days a week to execute on your assigned tasks. Over time you will gain the ability to execute on narrow, well-defined workflow processes and become familiar with the application of available tooling. An ADCE Associate will learn to resolve most straightforward blockers by leveraging existing runbooks, and effectively communicate any issues that may arise to peers and leaders. On this team, you may also learn how to identify the root cause of issues and ways of how to provide feedback to workflow owners. You will grow into understanding strong operational and troubleshooting skills, as well as the ability to work independently on defined tasks and collaborate effectively with cross-functional teams.About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONSExperience troubleshooting and debugging technical systems1+ year/s work experience requiring a security clearanceCurrent, active US Government Security Clearance of TS/SCI with Polygraph ...

Are you passionate about developing generative AI, LLM and Vision solutions to revolutionize content understanding, automation, and robotics? Are you looking for opportunities to build and deploy them on real-world problems at a massive scale? At Amazon Fulfillment Technologies and Robotics, we are on a mission to build high-performance AI/Vision/NLP systems that understand and act to further improve our world-class customer experience - at Amazon scale.This role is with the Amazon Fulfillment Technologies (AFT) AI team, a group with deep expertise in developing and deploying AI solutions at scale to address complex business challenges within the Amazon Fulfillment Network. Our solutions leverage advanced techniques in machine learning, computer vision, and natural language processing, applied to a variety of data types, including text, event sequences, images, and video—often drawn from both existing and new hardware. The team is composed of scientists focused on creating innovative machine learning, NLP, and vision models, analysts who assess the business impact and performance of these solutions, and software engineers who build and maintain the necessary infrastructure, including ML pipeline setup, annotation pipelines, and library development. We are seeking an Applied Scientist with expertise in NLP (and preferably large language models). In this role, you will collaborate with a diverse team of scientists, engineers, product managers, and stakeholders to develop and scale innovative models across a wide range of initiatives. If you are a proactive, customer-focused individual with a passion for solving real-world problems through NLP, and thrive in a setting that values ownership and impact, this is the team for you.Key job responsibilities- Apply your expertise in AI/NLP/LLM to design, train, test and implement scalable solutions that address complex language-related challenges alongside our partner teams.- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.- Embrace a high level of research ambiguity that require creative, ambitious, and inventive 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.- Be a self-starter with a bias towards independent problem solving.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.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 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- 1+ years of building models for business application experience- Experience applying theoretical models in an applied environment- Experience with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas- Expertise in NLP (and preferably large language models). ...

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. ...

The Amazon Artificial General Intelligence (AGI) Personalization team is looking for a passionate, highly skilled and inventive Applied Scientist with strong machine learning background to build state-of-the-art ML systems for personalizing large-scale, high-quality conversational assistant systems. As a Applied Scientist, you will play a critical role in driving the development of personalization techniques enabling conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graph, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences.Key job responsibilities- Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals- Innovate new methods for contextual knowledge extraction and information retrieval, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, compute, latency and quality- Research in advanced customer understanding and behavior modeling techniques- Collaborate with cross-functional teams of scientists, engineers, and product managers to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification- Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results- Think Big on conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reportsAbout the teamThe AGI Personalization org uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal context and relevance to customer interactions.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We are reimagining Amazon Search by introducing an interactive conversational experience that makes finding the perfect product easier than ever. With our state-of-the-art Large Language Model (LLM) innovations, you can now ask product-related questions, compare products, receive personalized suggestions, and more—all through a fast and reliable natural language conversation. This is just the beginning of a new era in online shopping, and the future is yours to shape.We're searching for pioneers who are passionate about technology, innovation, and customer experience, and who are ready to make a lasting impact on the industry. You'll be working with talented scientists, and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey and change the world of eCommerce forever!BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field ...

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 looking for an outstanding engineer to support our acoustic analysis, anechoic chamber, and noise testing. You’ll be responsible for owning, building, and implementing our indoor and outdoor noise testing of our propellers and drone vehicle designs. Your work will feed directly into our certification and regulatory processes to launch sites and expand operations. You’ll explore new and novel propeller and drone vehicle designs in both focused and wide open design spaces, with the ultimate goal of meeting our customer requirements. You will directly support the Office of the Chief Program Engineer, and work closely across all vehicle subsystem teams to ensure integrated designs that meet performance, reliability, manufacturing, and cost requirements.About 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, physics and 5+ years experience or equivalent- Experience with acoustic and exterior noise testing for air vehicles or rotorcraft- Hands-on experience designing, building, or operating acoustics test systems- Experience designing and building mechanical and electrical systems, test models, and test fixtures ...