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mmPROS Surface Research Science seeks an exceptional Applied Scientist with expertise in optimization and machine learning to optimize Amazon's middle mile transportation network, the backbone of its logistics operations. Amazon's middle mile transportation network utilizes a fleet of semi-trucks, trains, and airplanes to transport millions of packages and other freight between warehouses, vendor facilities, and customers, on time and at low cost. The Surface Research Science team delivers innovation, models, algorithms, and other scientific solutions to efficiently plan and operate the middle mile surface (truck and rail) transportation network. The team focuses on large-scale problems in vehicle route planning, capacity procurement, network design, forecasting, and equipment re-balancing. Your role will be to build innovative optimization and machine learning models to improve driver routing and procurement efficiency.Your models will impact business decisions worth billions of dollars and improve the delivery experience for millions of customers. You will operate as part of a team of innovative, experienced scientists working on optimization and machine learning. You will work in close collaboration with partners across product, engineering, business intelligence, and operations. Key job responsibilities- Design and develop optimization and machine learning models to inform our hardest planning decisions.- Implement models and algorithms in Amazon's production software.- Lead and partner with product, engineering, and operations teams to drive modeling and technical design for complex business problems.- Lead complex modeling and data analyses to aid management in making key business decisions and set new policies.- Write documentation for scientific and business audiences.About the teamThis role is part of mmPROS Surface Research Science. Our mission is to build the most efficient and optimal transportation network on the planet, using our science and technology as our biggest advantage. We leverage technologies in optimization, operations research, and machine learning to grow our businesses and solve Amazon's unique logistical challenges.Scientists in the team work in close collaboration with each other and with partners across product, software engineering, business intelligence, and operations. They regularly interact with software engineering teams and business leadership.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience- 1+ years of programming in Java, C++, Python or related language experience- Experience building machine learning models or developing algorithms for business application- Experience with Gurobi, Xpress, CPLEX or similar mathematical programming solvers ...

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. 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.We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you. Key job responsibilities- You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams.- You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.- You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. - You will design and implement scalable solutions and solve complex problems- You will mentor and coach junior software developers- You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment- You should 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 cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.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 with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas ...

Innovation is at the core of what we do. We believe that by removing and reducing the barriers that prevent people from taking their medications, we can help customers conveniently get the medications they need, when they need them and take them as prescribed.We have provided customers with the ability to find transparent and simple pricing, receive 24/7 customer service support, and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the world’s safest and fastest online pharmacy.We are looking for a Account Manager, B2B to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy!#everydaybetterKey job responsibilitiesImplementation of net-new Partner programsExisting program optimization and opportunity lead generationHealth and ROI of existing programsOversee project scheduling and timely deliveryProvide timely, clear and concise and complete communications to Partner and Amazon Pharmacy LeadershipAssess program risks, anticipate challenges, and request support in escalation management when necessaryRelay market needs and requirements back to internal Amazon Pharmacy teamsBASIC QUALIFICATIONS- Experience structuring and negotiating complex agreements and leading cross-functional groups to orchestrate and successfully complete deals- 5+ years of pharmacy benefit management or home delivery pharmacy experience in a corporate setting ...

Do you enjoy solving challenging problems and driving innovations in research? Are you seeking for an environment with a group of motivated and talented scientists like yourself? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? Do you want to play a key role in the future of Amazon transportation and operations? Come and join us at Amazon's Modeling and Optimization team (MOP).Key job responsibilitiesAn Applied Scientist in the Modeling and Optimization (MOP) team - provides analytical decision support to Amazon planning teams via applying advanced mathematical and statistical techniques.- collaborates effectively with Amazon internal business customers, and is their trusted partner- is proactive and autonomous in discovering and resolving business pain-points within a given scope- is able to identify a suitable level of sophistication in resolving the different business needs- is confident in leveraging existing solutions to new problems where appropriate and is independent in designing and implementing new solutions where needed- is aware of the limitations of their proposed solutions and is proactive in communicating them to the business, and advances the application of sciences towards Amazon business problems by bringing new methods, ideas, and practices to the team and scientific community.A day in the life- Your will be developing model-based optimization, simulation, and/or predictive tools to identify and evaluate opportunities to improve customer experience, network speed, cost, and efficiency of capital investment.- You will quantify the improvements resulting from the application of these tools and you will evaluate the trade-offs between potentially competing objectives. - You will develop good communication skills and ability to speak at a level appropriate for the audience, will collaborate effectively with fellow scientists, software development engineers, and product managers, and will deliver business value in a close partnership with many stakeholders from operations, finance, IT, and business leadership.About the team- At the Modeling and Optimization (MOP) team, we use mathematical optimization, algorithm design, statistics, and machine learning to improve decision-making capabilities across WW Operations and Amazon Logistics.- We focus on transportation topology, labor and resource planning for fulfillment facilities, routing science, visualization research, data science and development, and process optimization.- We create models to simulate, optimize, and control the fulfillment network with the objective of reducing cost while improving speed and reliability.- We support multiple business lanes, therefore maintain a comprehensive and objective view, coordinating solutions across organizational lines where possible.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 ...

AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.The AWS Finance Analytics and Science Team (FAST) team is responsible for many of the key functions needed by the AWS global sales organization, including building and operating the data resources that provide the AWS sales organization with insights into all areas of business performance. The successful candidate will be an expert with SQL, ETL (and general data wrangling), and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools and can partner with customers to answer key business questions.Key job responsibilities· Work with business customers to gather requirements and deliver complete data analytical solutions· Learn why customers are asking for data and what their underlying questions and business goals are· Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions· Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation· Drive data democratization throughout the organization, enabling others to self-serve their data needsBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative applied scientist with a strong background in deep learning, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.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. Your work will directly impact our customers in the form of products and services that make use of audio technology. About the teamWhile the rapid advancements in Generative AI have captivated global attention, we see these as just the starting point. Our team is dedicated to pushing the boundaries of what’s possible, leveraging Amazon’s unparalleled ML infrastructure, computing resources, and commitment to responsible AI principles. And Amazon’s leadership principle of customer obsession guides our approach, prioritizing our customers’ needs and preferences each step of the way.BASIC QUALIFICATIONS- 1+ years of building models for business application experience- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience with deep learning techniques- Experience with LLM model training and fine-tuning ...

Come join Earth's most customer-centric company! Amazon is looking for an AI Security Engineer with strong insight and passion for security to ensure our AI applications are designed and built to the highest standards. Your mission is to secure the AI experiences of hundreds of millions of our customers. You bring AI security talent and expertise to a fast-paced environment where you will be relied upon to partner with our talented software development teams in building secure AI applications.As an AI Security Engineer, you will work with software development teams to ensure the security of AI applications. You will review code for security issues, build frameworks to help developers create more secure software, and adjust designs to improve protection. You will also perform security research, analyze bug reports, conduct risk assessments, develop automation, maintain documentation, and create tools that reduce security risks. Your work drives secure, reliable AI applications for Amazon's customers.Key job responsibilities* You will create, update, and maintain threat models for a wide variety of software projects. * You will perform manual and automated code review, primarily in Java, Python, and JavaScript* You will develop AI security automation tools. * You will perform AI security training and outreach for internal development teams. * You will provide AI security architecture and design guidance. * You will independently solve AI security problems that require novel methods or approaches. * You will influence your team's and partners' process, priorities, and choices to improve outcomes.About the teamAbout the teamThe AppSec AI team is tasked with empowering the business to create secure, trustworthy AI applications that our customers find delightful to use. We engage closely with the business from the outset of the development process to ensure that security considerations are integrated early and consistently. This collaborative approach positions us as partners with the business, minimizing the need for security trade-offs. Our close work with product teams allows us to participate in deep technical discussions and decisions. We prioritize obtaining the right training and career growth opportunities, enabling us to Dive Deep and Earn Trust with our development teams.About Amazon SecurityDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the 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.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- Knowledge of GenAI systems and associated security vulnerabilities and remediation techniques, including penetration testing and the development of exploits or equivalent- Experience with any combination of the following: threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security.- Bachelor's degree in computer science or equivalent, plus 3+ years of security engineering experience. ...

Are you passionate about cutting-edge technology and eager to shape the future of hardware innovation?We are looking for interns across a variety of domain expertise, such as RF/analog IC design, mixed-signal modeling, custom IC layout, ASIC development, PCB design, signal processing, high-speed digital, space-grade electronics, optical communications, antenna design, thermodynamics, robotics, and acoustics!Including but not limited to the following teams:• Project Kuiper (Avionics, RF Systems, Ground Systems, Satellite Battery Design)• Quantum Computing (Qubit Optimization)• Consumer Robotics (Advanced Products and Technologies)• Amazon Devices (Kindle, Echo, Fire TV)• Ring and Blink Product Integrity• Mechatronics and Sustainable Packaging (MSP)• Display Optics and Touch Team• Kuiper Space Simulation Lab• KGS ElectronicsWe encourage all interested candidates to apply, even if you don't meet all the preferred qualifications. We value diverse perspectives and are committed to helping you grow and develop your skills in ASIC development.Key job responsibilitiesAs a specialized Hardware Development Engineer, you will engage with cross-disciplinary teams across Amazon's cutting-edge technology divisions. You will work closely with internal teams and external partners to drive product definition, execution, and testing for next-generation hardware. You must be responsive, flexible, and able to thrive in an open, collaborative environment. Depending on the team you join, you may also:-- Design and implement RF/analog circuits for satellite and user terminal ASICs--Develop high-fidelity analog behavioral models for beamforming transceivers--Optimize electromagnetic structures using EMX for improved performance--Create and maintain automated test infrastructure for system verification--Develop scripts for data processing and analysis of RF system performance--Implement cross-correlation algorithms for system and component-level data--Contribute to the design and verification of mixed-signal ICs for space applicationsA day in the lifeOur internship program provides hands-on learning and building experiences for students who are interested in a career in ASIC. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real-world setting.BASIC QUALIFICATIONS- Work 40 hours/week minimum and commit to 12 week internship maximum- Currently pursuing a Bachelor's degree or higher in Electrical Engineering, Computer Engineering, or related field with an expected graduation between October 2025 – December 2027- Knowledge of software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations- Experience with Git or other distributed version control systems- Knowledge of data analysis and machine learning fundamentals- Programming skills in at least one language (e.g., Python, C++) ...

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. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.What we do:The Infrastructure Orchestration team builds services and tools that orchestrate processes surrounding managing and protecting infrastructure in Amazon. As an infrastructure services provider, we own the services and tools that Amazon uses to turn hardware into capacity that service teams across Amazon run their business on. What we do matters; every customer who uses Amazon's products is supported by the computing infrastructure we provide and we provide a way for customers to get the capacity they need and for the business team to responsibly manage growth and cost. Our products are used by internal software teams, we focus on minimizing the operational burden that other engineers experience when managing their infrastructure.What you will do: You will lead a team of talented engineers as they migrate to more modern services and improve our customer's experience by providing more capable APIs. Your top priority is to ensure you are developing a great organization, raising the bar on our software development practices and the customer experience using our tools. You will coordinate with other managers on the team to deliver tools that work seamlessly across the various disciplines in AWS.Why we need youAmazon and Amazon Web Services are growing at an incredible rate, inventing new technology to improve the life of our customers. At this scale we are constantly stretching the elasticity of the the cloud. Our mission to help make it easy for internal software teams to grow while working with other infrastructure and AWS teams to meet these needs. You will lead a team of talented engineers to deliver this end to end workflow and collaborate with your customers - including other developers, business partners, and finance teams. You will work with other engineers who have a passion for learning new technology and making your customer's lives better.We want your passion for making an end-to-end product. While we are doing a lot of automation here, you will be asked to solve problems at every layer of the stack. You will share your experiences with an organization that is eager to learn.Why you’ll love it: You’ll see all aspects of the Amazon business, from our Retail websites to our digital products to the inner workings of Amazon Web Services. You’ll work with massive data sets. You’ll improve the agility of our technical teams. You’ll be part of a growing, fast paced, and fun team. You’ll have ownership, not just responsibility; and you’ll define and execute processes to deliver both savings and productivity for AWS and Amazon.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.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.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. Amazon Web Services (AWS) is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 5+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teams ...

Join us in a historic endeavour to make Computer Vision accessible to the world with breakthrough research! The AWS AI Labs: Vision team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists develops the algorithms and models that have powered AWS AI/ML services such as Amazon Rekognition, Amazon Textract, Amazon Lookout for Vision and Amazon Bedrock. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised / semi-supervised / active learning, vision language and multi-modal modeling, generative modeling, large-scale image and video detection and recognition, face detection and recognition, 3D scene and layout understanding, and OCR and scene text recognition, document understanding.We are hiring for all our locations in the USA (Seattle, Pasadena, Bay Area).About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the 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. Why 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 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.Mentorship & 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. 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. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience 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 computingPREFERRED QUALIFICATIONS- Experience building machine learning models or developing algorithms for business application- Experience in multi-modal learning over image/video/language; Experience in visual recognition and object detection.- Experience in model efficiency optimization and distributed parallel machine learning systems- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalabilityBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience 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 leading, guiding, and influencing customers and team members throughout the DevOps journey? As an AWS DevOps Engineer, you will have the opportunity to work on some of the world’s most complex challenges. You will apply your deep technical expertise to solve cloud-based solutions at scale. You will guide customers through transforming their business with the combination of cultural philosophies, practices, and tools that deliver end-to-end applications and infrastructure solutions. You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2C), which focuses on the accelerated career development of university graduates and early career professionals.Our team members work with enterprise customers locally, regionally and domestically. As such, this role has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract.Key job responsibilitiesThe DevOps Consultant is an emerging leader with previous experience in a DevOps role. The DevOps Consultant will collaborate with our customers and partners on key engagements. A successful candidate has technical depth and hands-on implementation experience of various practices and tools in the DevOps toolchain. The DevOps Consultant is comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes.About the teamAWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.You will also have the opportunity to create white papers, author blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work with our Solution Architects, Data Scientists and Service Engineering teams. Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS* Bachelor’s degree or higher in Computer Science, Engineering, Mathematics or a related field with a conferral date within May 2023 to May 2025 * 1+ years of hands-on experience of programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++, Node.js, or similar object-oriented language. ...

Are you passionate about transforming data into actionable insights? The Customer Service Security - Application Security team seeks an innovative and results-driven Business Intelligence Engineer to join our team. In this role, you will transform data into actionable insights, leveraging cutting-edge data products to drive high-impact security decisions. You'll dive deep in our data, identify root causes, and think ahead to uncover new patterns and opportunities. Collaborating closely with security engineers and software development engineers, you will use data to guide the resolution of security issues. Join us today to enhance Amazon's security posture through data-driven solutions and play a key role in shaping our data-informed security strategy.Key job responsibilities1. Develop robust, extensible, and scalable Business Intelligence solutions for security problems.2. Create and refine data strategies, making technical trade-off decisions for short and long-term requirements.3. Bridge communication between business and engineering teams to provide actionable insights into business performance.4. Conduct ad-hoc investigations to support future improvements and innovations.5. Gather and manipulate data, solve problems, and communicate insights and recommendations clearly.6. Write high-quality SQL queries and Python code to retrieve and analyze data efficiently.7. Build compelling data visualizations that illustrate business trends, patterns, and outliers.8. Stay current with BI tools, technologies, and best practices to continually improve solutions.About the teamThe Customer Service Security - Application Security team provides proactive security guidance and support to an Amazon business unit. We address security early in the software development lifecycle by providing guardrails and paved paths. We also bridge gaps between application security and software engineering by advocating for secure coding standards, automating processes, and developing reusable security solutions leveraged company-wide. We stay ahead through continuous research into emerging threats and adoption of new techniques and best practices. Our collaborative environment encourages diverse perspectives and continuous learning to shape cutting-edge strategies that protect customer data while delivering reliable, trusted services.ABOUT AmSec:Diverse ExperiencesAmazon Security 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. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.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. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training 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, training, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Web Services (AWS) seeks a Senior Finance Analyst to join the Central FP&A team. The successful candidate will provide cross functional leadership across multiple teams and initiatives, and drive the overall Income statement reporting. This role will drive strategic initiatives to improve the quality and timelines of business insights provided to AWS and Amazon leadership, including ongoing efforts around existing process improvements. We are looking for a consummate Finance leader who can thrive in a fast-paced, highly ambiguous environment, and who exercises high standards and good judgment. The successful candidate has strong leadership skills and business acumen and is comfortable at influencing stakeholders at all levels of the organization.Key job responsibilities • Liaise across the AWS finance community to drive core financial processes including annual operating plans, monthly/quarterly business reviews and assessment of risks/opportunities, and month-end close.• Collaborate with teams to simplify, standardize, and automate reporting processes and analytics.• Communicate financial metrics and business drivers to AWS and Amazon teams.• Ensure compliance with finance and accounting controls and systems.• Lead and manage special projects, working cross-functionally with various AWS finance and business teams.• Foster constructive and proactive communication across organizational boundaries.About the teamThis role is part of the AWS Central FP&A team. We support AWS leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve the speed of decision making, and providing insightful financial analysis on the short and long term strategy of AWS.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience ...

We are looking for a leader of an R&D team in cutting-edge LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions.It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide!BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Master's degree ...

At Amazon, we strive every day to be Earth’s most customer centric company. Selling Partner Support Engagement (SPSE) Science delivers on this by building AI-enhanced experiences and automation that help to provide world class support to our global network of selling partners. We building at the cutting edge of Gen AI applications, working to tackle the many challenges that we confront caused by the volume, diversity, and complexity of our selling partner's needs… and we are always striving to do better.Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning, natural language processing, and generative models? A team that drives our flywheel of improvement by hunting down opportunities to do better that are buried in tens of millions of solved cases? Are you interested in helping us redefine what world class support can be in an age of automation and AI, while prizing human empathy and ingenuity?The SPSE Science Team is looking for an Applied Scientist to build statistical and machine learning solutions that help us understand and solve our most challenging problems. We need to better understand our Sellers and the problems they face, to augment our human workforce with smarter tools, to anticipate problems so that we are prepared to deal with them, to automatically diagnose and resolve issues, and to identify opportunities to grow and improve.In this role, you will have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making. You will also work closely with engineers, operations teams, product owners to build ML pipelines, platforms and solutions that solve problems of defect detection, automation, and workforce optimization.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 ...

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 to US locations based on business need. Relocation assistance provided, if eligible. • Ability to begin 40-hour/week, full-time employment in Fall 2025.• We are unable to offer visa sponsorship for this role.For FAQs, please visit: https://amazon.jobs/content/en/faq/university-talent Successful sourcers utilize their experience in setting benchmarks, forecasting and tracking against metrics, and prioritizing to hit customer goals. They thrive in an innovative, fast-paced environment, can roll up their sleeves, work hard, and have fun to get the job done. They draw on knowledge of Talent Acquisition and functional areas of the business, forging dynamic relationships with business leaders and hiring managers.Key job responsibilitiesCandidates must be able to successfully manage, prioritize, and fulfill job searches against a timeline and have experience setting benchmarks and metrics. They must understand how to prioritize and achieve SLAs. The best candidates will draw on knowledge of talent acquisition and tech roles and areas of the business, forging dynamic relationships with business leaders, hiring managers, and HR business partners. They have a reputation for being exceptional at candidate generation, client/account management, strong organizational skills, possess strong verbal and written communication skills, have an ability to prioritize their time, demonstrate a sense of urgency, and understand the value of providing amazing customer service. BASIC QUALIFICATIONS- Are 18 years of age or older- 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. ...

We are seeking an exceptionally talented Acquisition Marketing Manager who can leverage digital expertise in planning, execution, and optimization of growth focused campaigns across our marketing channels. As a Marketing Manager, you’ll be responsible for optimizing and elevating our customer acquisition and engagement marketing for Amazon Photos. This role focuses on the development of paid marketing initiatives and subsequent execution. You will analyze channel performance, recommend strategy, and lead initiatives to grow and optimize the channel. You will manage and report ongoing performance and influence multiple stakeholders cross-functionally to drive optimizations that will help improve top of the funnel reach and output metrics of acquisition KPIs. The impact of this role is significant and broad, accounting for a large percentage of Photos KPIs. The successful candidate will have strong analytical skills, problem solving skills and a deep understanding of digital marketing measurement and attribution methodologies. The candidate will need to leverage their proven track record of leading as well as executing marketing initiatives, while managing to a paid media budget encompassing multiple marketplaces. In addition, ability to work with an analytics team, excellent written and verbal communication skills, and ability to understand overall marketing strategy is key. Experience in GTM initiatives and partnering with product teams will further drive success in this role.Key job responsibilities- Own the ongoing planning, optimization and execution of a subset of Amazon Photos paid marketing channels. This would include new channel assessments, bid optimization, display campaign optimizations, audience refinement, and campaign analysis - Create, implement, and lead optimizations on campaigns across multiple network channels (such as ADA, Meta, and leading DSPs)- Analyze and communicate marketing performance to stakeholders including key learnings and best practices - Work closely with Photos product marketing and product teams to support new feature launches and additional internal partnership opportunities - Partner with internal Amazon teams to advance measurement and understanding of ROI About the teamAmazon Photos helps consumers preserve and re-live their memories. The service comes with unlimited photo storage for Prime members and apps are available on iOS, Android, Web, Desktop, Fire Tablet & Fire TV. The service is also integrated into Alexa devices such as Echo Show and Echo Spot. Amazon Photos is the latest digital offering to consumers released on the heels of the Amazon Music and Amazon Video offerings. We have ambitious goals to scale growth and adoption of the service around the world and delight our customers with a great product. BASIC QUALIFICATIONS- 4+ years of professional non-internship marketing experience- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion- Experience building and optimizing multiple, simultaneous marketing campaigns- Experience managing or working within cross-functional marketing and creative teams ...

We are seeking a Business Analyst to support reporting and analytics for Haul International program . The candidate will play a key role in the development of key automation launch metrics, reports and insights using data visualization as needed. This candidate will be expected to be skilled in understanding finance needs, converting them to data analysis in tech system, having working knowledge of data availability in various sources, consolidating the data into standardized formats.The candidate will also be responsible for designing the P&L financial model, scaling data processes and reports, streamlining and simplifying financial workflows, as well as managing project timelines and deliverables.The successful candidate will be a self-starter who is comfortable with ambiguity and large datasets. They will have strong attention to detail, SQL skills, experience with statistical analysis tools, and the ability to clearly communicate and present data insights.Key job responsibilitiesBuild and maintain the key metrics and reports for financial automation launch for Global Logistic and Inbound Small Parcel.Monitor existing metrics as well as develop and propose new metrics, ensuring clear and efficient visibility into financial automation results for finance and stakeholders to facilitate further analysis.Collect, analyze, and interpret large datasets related to Global Logistic and Inbound Small Parcel AP transactions. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning.Design and implement a P&L reporting model to optimize financial workflows, enabling stakeholders to manage the business and make effective decisions.Continuously look for ways to streamline financial processes and workflows. Inform process owners of potential improvements and work collaboratively to implement changes.A day in the life· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs. · Generate actionable insights through the development of metrics, dashboards and deep dive analyses. · Serve as a technical, business-metrics specialist and insight provider in the organization. · Act as a key interface between our business customers and technical divisions. · Leverage extensive data sets to derive strategic insights that shape business decisions on content spend. · Present insights to senior stakeholders in Product and Business Teams. Work in a fast paced, global environment, across various functional teams.BASIC QUALIFICATIONS- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL ...

Amazon's Pricing and Promotions Science is seeking a strong Applied Scientist II for work on deep causal learning. This work provides business-critical insights into pricing strategies that are of interest to Amazon's most senior leaders.We are looking for a talented, technically skilled scientist with a strong sense of ownership and drive to join the Impact Intelligence team. This team's charter is to build causal models that (a) provide entitlements of key business programs, and (b) generate trustworthy signals for use in a multitude of downstream ML systems that have visible impact on the customer experience worldwide.Key job responsibilities- Build scalable solutions. We operate on large-scale data to drive insights from complex environments.- Approach with rigor. Due to the lack of ground truth inherent in causal questions, we expect our scientists to maintain high standards on the care put into their models.- Stay current. We obsess over what resources we can use to iterate on our model designs, and we expect our scientists to stay up-to-date with the latest approaches to causal learning.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 ...

Unlock the Future with Amazon Science!Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.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 Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling 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 Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.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- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Design, development and evaluation of highly innovative ML models for solving complex business problems.- Research and apply the latest ML techniques and best practices from both academia and industry.- Think about customers and how to improve the customer delivery experience.- Use and analytical techniques to create scalable solutions for business problems. BASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling ...