Your Career, Your Rules.

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. ...

AWS is hiring at all experience levels in Seattle WA, Denver CO, Arlington VA, Herndon VA, and Columbia MD! Would you like to help implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations?This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems.AWS established a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. We are building some of the largest and most complex distributed systems in the world, and we need adaptable people to help us implement and operate them. Amazon Web Services is seeking top industry technical experts to grow our team dedicated to expanding our Elastic Compute Cloud (EC2) to government customers. We are seeking a talented engineer skilled in the art of integration who understands the Agile mindset and DevOps philosophies, yet is not constrained by how “things are usually done" and is willing to decompose and reinvent systems, processes, and tools. We're looking for a technical expert for one of the largest compute services on the planet; if you possess that rare mix of depth in Operations, Networking, and Systems Engineering then we are waiting for your application.Amazon has a fast-paced environment where we “Work Hard, Have Fun, Make History.” On a “typical” day engineers might deep dive to root cause a customer issue, investigate why a metric is trending the wrong way, consult with the top engineers at Amazon, or discuss radical new approaches to automate operational issues.You'll be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. 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'll become a master at EC2 platform diagnosis, response, measurement, and automation. You will design and build the operational scalability that sustains the platform's insane growth. You will be able to measure your success by its visible impact on the efficiency and effectiveness of government services for our nation.Apply to meet our talented team and let's see if you are the one that can help us scale to meet the demand of our largest government customers! Become our leading expert on Amazon Web Services (AWS) Elastic Compute Cloud (EC2) products and services.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.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.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.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)- 3+ years of systems administration experience (Linux/Windows).- Experience working with scripting languages.- Current, active US Government Security Clearance of Top Secret or above. ...

Come be a part of a rapidly expanding global business. At Amazon Retail Stores, we are passionate about building solutions and we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail developing innovative solutions to help our customers thrive. Bring your insight, imagination and a healthy disregard for the impossible. Key job responsibilities- Deliver accurate weekly reporting on pipeline and customer spend adoption, including account status updates and insights learned during deployment- Provide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challenges- Focus on automating service needs for customers, while working with Product and Technical teams to develop solutions that will increase solution adoption- Relay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teamsBASIC QUALIFICATIONS- BA/BS degree or equivalent work experience- 3+ years of relevant sales experience- Demonstrated track record of successfully identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of successfully positioning and selling solutions to new and existing customers and market segments ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we can't even image yet. We invent new improvements every day.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfilment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.We are seeking candidates with exceptional technical skills, a demonstrated capability to learn fast, and a strong interest in design for reliability and service. As part of this highly influential team, candidates have the opportunity to work cross-functionally with global teams within Amazon to contribute to the challenges and continuous innovation of the Amazon Robotic Systems.This role is a 6 month co-op to join AR full time (40 hours/week) from July - December 2025. Amazon Robotics co-op opportunities will be based in the Greater Boston Area, in our two state-of-the-art facilities in Westborough and North Reading, MA. Both campuses provide a unique opportunity for interns to have direct access to robotics testing labs and manufacturing facilities.Co-op Responsibilities:As a System Reliability Engineer Co-op, you will contribute to the development of robotic solutions optimized for availability, life cycle cost and performance. • Support Design for Reliability, Maintainability and Supportability activities during new product development. • Develop reliability models for complex electro-mechanical systems• Support Failure Modes Effects Analyses for new products • Assist in the development and execution of reliability test plans and data collection strategies • Assess vendor reliability data• Advocate for the customer during the design process on failure modes, fault diagnostics and impacts to product supportability• Develop lifecycle support strategies and mechanisms for new products• Ensure supportability requirements and concerns are addressed for field launch• Work with customers to identify opportunities for improved maintenance strategies• Assist with processes to expand diagnostic capabilities improve ergonomics, and reduce troubleshooting time • Work with Learning team to develop and improve Amazon Robotics University technical manuals and training modulesA 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 teamAbout the team System Reliability Engineering is a team of experts in diverse engineering disciplines joined by a passion to astonish customers through solving complex optimization problems. We succeed by embracing ambiguity, moving at a fast pace, and supporting each other's growth.BASIC QUALIFICATIONS- Must be currently enrolled in and pursuing a Bachelor's (or higher) in an engineering discipline such as Electrical Engineering, Mechanical Engineering, Industrial Engineering, or similar- Strong problem-solving and debugging experience related to hardware, software, subsystems, and firmware- Proficiency with Minitab, Word, Excel, PowerPoint, Access- Must have at least one semester/term/quarter of school left to complete after the end of the co-op- Must be eligible and available for a full-time (40h / week) 6-month co-op between January - June 2025- Graduation is December 2025 or later ...

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!We are looking for a motivated Applied Scientist with experience in machine learning (ML) and causal inference in relation to marketing or other business applications, to be part of a team that innovates, iterates, and solves real-world problems in the realm of Prime Video marketing. In this job, you will take ownership in the development of one of our causal inference models. You will join a cross-functional team, working closely with other scientists, economists, and data engineers on a daily basis. The scope of this role will include developing infrastructure in AWS to automate the routine functions of the model, innovating model enhancements, and working with peers and stakeholders to derive insights from the model results.Key job responsibilities- Apply state-of-the-art Machine Learning (ML) and Causal Inference algorithms, to optimize marketing investment decisions at Prime Video- Own and improve insight generating processes for the production models - Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML models- Collaborate with colleagues across science and engineering disciplines on infrastructure development that enables faster turnaround of marketing insightsAbout the teamPrime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

The Amazon Devices & Services Demand Planning and Product Development (DePD) team is seeking an outstanding scientist with strong analytical and communication skills to help with demand forecasting and supply optimization for the entire Amazon device family of products, services and accessories. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers globally.We develop scalable and robust state-of-the-art data/analytics/ML and automation solutions that involve learning from different data sources and advanced descriptive, diagnostic, predictive prescriptive and cognitive models. With better forecasts, we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impact. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data and ML models, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment. You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.We are looking for an individual with outstanding analytical abilities, excellent communication skills, and someone who is comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing predictive models and developing smart automation solutions.Key job responsibilities· Research and develop new methodologies for demand forecasting, alarms, alerts and automation with advanced models and methods.· Build and maintain codebase, upholding engineering best practices · Improve upon existing methodologies by adding new data sources and implementing model enhancements.· Drive scalable and hands-off-the-wheel solutions.· Create and track accuracy and performance metrics (both technical and business metrics).· Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.About the teamThe team is a focused science team with Data and Applied Scientists looking for help with validating the technical decisions we are making and figuring out how to best solve our internal and partner’s needs. We have access to a growing science community within the org and partner with Engineering role on a daily basis.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 ...

Do you enjoy helping U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping these groups understand application architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success? Are you familiar with security best practices for applications, servers, and networks? Do you want to be part of a customer facing technology team helping to ensure the success of Amazon Web Services (AWS) as a leading technology platform?AWS Customer Service provides global support to a wide range of commercial and government customers as they build mission-critical applications on top of AWS services such as Amazon EC2 and Amazon S3. As an AWS Customer Success Representative, you'll engage with US Government (USG), and enterprise customers, providing training, support and analysis. You will work with the other members of the AWS Enterprise team including Technical Account managers (TAM’s), Sales and Solution Architects. You will be the Subject Matter Experts on Enterprise Account and Billing issues. You will proactively help customers avoid potential issues. Dive deep to understand the underlying issues to help a customer resolve problems.In addition, your responsibilities will include, but will not be limited to, the following: - Being the customer-facing voice for USG and Enterprise customers, addressing complex account and billing issues - Working with Enterprise customers to understand how they use AWS account and billing services, and providing valuable feedback - Performing deep dive analysis on USG / Enterprise customer accounts and billing statements - Educate customers on reporting options, alerts and budgets. - Providing prompt, efficient, detailed, customer-oriented service to Enterprise customers - Working with customer support peers around the globe to ensure a consistent and high-quality level of support - Driving projects that improve customer interactions with AWS account and billing information - Acting as the Voice of the Customer for our Enterprise customers, reporting and acting on observed areas for improvement - Actively seeking solutions to customer needs, communicating trends to leadership, and suggesting innovative solutions on behalf of the customer experience - Assisting with Enterprise customer communication during AWS critical launches and support events - Assuming responsibility for developing detailed knowledge about AWS specific product and features - Work with AWS teams to drive resolution of issues for customers - Making sure internal knowledge reference pages are updatedThis 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.A day in the lifeWhy 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.About the teamWork/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentor-ship & 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 mentor ship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded Evaluator and enable them to take on more complex tasks in the future.Inclusive Team Culture:Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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.BASIC QUALIFICATIONS- Associate Degree OR A+ or Network+ or Security+- 1+ year experience in Customer Service and/or Account Management working with high-profile customers- 1+ year of advanced Excel (pivot tables, vlookup and other formulas)- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Our mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We develop cutting-edge Large Language Models (LLMs) that leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.We seek a talented Applied Scientist with expertise in LLMs, speech, audio, NLP, or multimodal learning to pioneer innovations in data simulation, representation, model pre-training/fine-tuning, generation, reasoning, retrieval, and evaluation. The ideal candidate will build scalable solutions for a variety of applications, such as streaming real-time conversational experiences, including multilingual support, talking avatar interactions, customizable personalities, and conversational turn-taking. With a passion for pushing boundaries and rapid experimentation, you'll deliver high-impact solutions from research to customer-facing products and services.Key job responsibilitiesAs an Applied Scientist, you'll leverage your expertise to research novel algorithms and modeling techniques to develop data simulation approaches mimicking real-world interactions with a focus on the speech modality. You'll acquire and curate large, diverse datasets while ensuring privacy, creating robust evaluation metrics and test sets to comprehensively assess LLM performance. Integrating human-in-the-loop feedback, you'll iterate on data selection, sampling, and enhancement techniques to improve the core model performance. Your innovations in data representation, model pre-training/fine-tuning on simulated and real-world datasets, and responsible AI practices will directly impact customers through new AI products and services.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 ...

Please note the following eligibility requirements to apply for this role:• Graduate from bachelor's degree program or dual degree/submatriculation master’s degree program in Accounting (preferably Tax track) between 12/2025 and 6/2026.• Ability to relocate to Greater Seattle area or Arlington, VA as determined by business need. Relocation assistance provided, if eligible.• Ability to complete 12-week internship between May – August 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit: https://amazon.jobs/content/en/faq/university-talent .Amazon’s Global Tax team is searching for bar-raising Tax Interns who consistently exceed expectations, thrive in a challenging workplace, and can actively contribute to our talented team. Amazon Tax Interns may support one or more of the following areas: US Federal income tax reporting, US Federal Tax Compliance, State and Local tax reporting, US International Tax reporting, and ASC 740 tax provision reporting. We are focused on controllership, compliance, and operational efficiency. The internship will be structured to provide students the opportunity to gain hands-on tax experience, as well as own delivery of a project end-to-end. You will be well-supported and have a unique opportunity to learn from and engage with very experienced tax professionals.This candidate is driven and can work autonomously. The successful candidate must have strong analytical skills, ability to dive deep into unfamiliar data, savvy with new technology, and a voracious hunger for learning. It is also expected the candidate can stay focused in challenging and ambiguous situations, has strong leadership, organizational, writing, and presentation skills.BASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week throughout the course of a 12-week summer internship between May through September- Currently enrolled in a bachelor’s or dual degree/submatriculation master’s degree program in Accounting (preferably in a tax track) with a graduation conferral date between December 2025 and June 2026. ...

The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.Key job responsibilitiesAs an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.A day in the lifeDiverse 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.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. This team is part of AWS Utility Computing: 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.About the teamThe Amazon Web Services (AWS) Next Gen DevX (NGDE) team is building Amazon Q for Developers to re-imagine all aspects of how builders create applications. We build AI products that are deployed in the IDE, the AWS console, and in web-based tools and services. We provide developers with AI assistants to generate code, features, and entire applications as well as to interact with AWS. We explore new technologies and find creative solutions, produce original research and bring cutting edge innovation to our customers. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space, this is the team for you.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 5+ 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- Experience in any of the following areas: Deep-learning, Generative AI, and Large Language Models ...

Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology.Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community. You will gain hands on experience with Amazon’s heterogeneous text and structured data sources, and large-scale computing resources to accelerate advances in language understanding.The Science team at AWS Bedrock builds science foundations of Bedrock, which is a fully managed service that makes high-performing foundation models available for use through a unified API. We are adamant about continuously learning state-of-the-art NLP/ML/LLM technology and exploring creative ways to delight our customers. In our daily job we are exposed to large scale NLP needs and we apply rigorous research methods to respond to them with efficient and scalable innovative solutions.At AWS Bedrock, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging AWS resources, one of the world’s leading cloud companies and you’ll be able to publish your work in top tier conferences and journals.We are building a brand new team to help develop new LLM services for AWS. You will have the opportunity to conduct novel research and influence the science roadmap and direction of the team. Come join this greenfield opportunity!A day in the lifeAWS 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.Diverse 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.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 computing ...

Amazon's Consumer Electronics Tech (CE Tech) organization is seeking an Applied Science Manager to lead, manage, and grow a team of talented Applied Scientists. This team leverages Artificial Intelligence (AI) including Generative AI (GenAI) and state of the art Machine Learning (ML) techniques to build the next-generation experiences for customers shopping on the Amazon website and the mobile app. Many of the initiatives we prioritize have broad, cross-category scope and impact, from developing innovating science solutions to improve personalized product attach recommendations, generating detail page content for Bundle ASINs, developing solutions for the evaluation and benchmarking of Large Language Models for a variety of use cases, etc. In 2024, we also launched the fastest growing and most used AI Assistant by Amazonians using Anthropic's Claude LLMs. As the AS manager, you will be leading an exciting and diverse portfolio of AS initiatives, and you will have strong influence on our prioritization. Key job responsibilitiesThis role has 3 main responsibilities: 1) Set the strategic vision for the Applied Science team in collaboration with key stakeholders, and drive the vision forward. This includes up-leveling the team's profile within the broader SVP org and identifying collaboration opportunities with other teams and execute on them, as well as contributing actively to annual planning, product roadmap prioritization, and maintaining a high bar on operational excellence, 2) Create mechanisms for the smooth functioning of your team, including mechanisms for auditing, sprint planning, and execution, 3) Hire & Develop your team, including creating appropriate scope of work for your team members to set them up for success.Your team will partner closely with Product Managers, Software Development Managers, and Software/ML engineers to envision, and bring to life features and experiences that delight Amazon shoppers WW. In addition, this team also invests in developing strong thought leadership with cross-organization influence, as well as publishing papers at prestigious internal and external AI / ML conferences. As the Applied Science Manager, you will be responsible for guiding your team in the creation and deployment of sophisticated algorithms and models that drive measurable improvements in customer satisfaction and business metrics. You will identify high-impact opportunities and translate complex business problems into actionable data science solutions. BASIC QUALIFICATIONS- 5+ years of scientists or machine learning engineers management experience- 6+ years of building machine learning models or developing algorithms for business application experience ...

Amazon’s Customer Behavior Analytics org is looking for an Applied Scientist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. This is a high-impact role with opportunities to develop systems that affect investments to the size of billions of dollars. We work closely with business stakeholders and strive to continuously produce tangible impact on the company’s strategic and tactical planning and operations. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine/deep learning at scale to solve business problems. You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them. You will apply your expertise in ML/DL, statistics, and data-wrangling to identify opportunities for further research and to provide insights that drive larger initiatives. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization.Key job responsibilitiesThe main responsibilities for this position include: - Apply your expertise in ML/DL and statistical modeling to develop solutions and systems that describe how Amazon’s marketing campaigns impact customers’ actions - Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions - Improve upon and simplify our existing solutions and frameworks - Review and audit modeling processes and results from other scientists, both junior and senior - Work with marketing leadership to align our measurement plan with business strategy - Formalize assumptions about how our models are expected to behave and explain why they are reasonable - Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making - Develop and document scientific research to be shared with the greater science community at AmazonAbout the teamThe Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience. 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 ...

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting position in the industry.About our organization: Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for", "Tap to explore", “Customers who bought this item also bought”, and “Frequently bought together” among others. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.You will play a critical role in ideation for the team. We are building the next generation ML systems that powers the biggest shopping engine on earth, and we hope you will join us!Key job responsibilitiesAs an Applied Scientist on the team you will be working on cutting edge ways to help customers find the right products and content on their shopping journey. Our goal is to help customers achieve their objective seamlessly while shopping on Amazon. We are investing in multiple fronts including but not limited to GenerativeAI, LLMs, transformers, sequence models, reinforcement learning. This is an opportunity to come in on Day0 and influence the science roadmap of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive shopping experiences. We will be working on applying cutting edge science and research into production to elevate the customer experience. You will be part of a multidisciplinary team, working on one of the largest scale machine learning systems in the company. You will hone your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists, you will have a unique opportunity to help build infrastructure that accesses petabytes of data to produce and deliver models that deliver state of the art customer experiences. About the teamOur mission is to delight every Amazon customer with a consistent and adaptive personalized shopping experience. We achieve our mission through investments in large scale machine learning, distributed systems and user experience with the purpose of delivering the future of shopping on 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 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 ...

At Amazon, we are excited to offer graduate students (MBA/Masters) the opportunity to launch into big careers with limitless possibilities. We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. From the start, you’ll do meaningful work alongside peers and leaders – diving deep into projects, programs, and services that impact millions of customers. At Amazon, you're given the opportunity to chart your own path by owning your development, your career, and your future.PMTs at Amazon are the end-to-end owners of our software offerings, hardware, and technical services. PMTs leverage their technical depth to partner closely with engineers in defining a vision and building a roadmap to launch technical products that play a key role in making Amazon Earth’s most customer centric company. With a customer base that can span across retail shoppers, developers, and business leaders. PMTs are set on a path to become leaders of business segments or technical organizations.Key job responsibilities-Developing and executing scalable business plans and product requirements – being a business owner-Driving cross-functional projects to completion-Developing strategies based on data analysis-Communicating effectively with senior management-Maintaining an intense customer-focus-Balancing strategic thinking with tactical, detailed execution-Working cross functionally with teams throughout the companyA day in the lifeThe primary role of a PMT within Amazon is to assume end-to-end product ownership over one of our technical product offerings. PMTs are expected to dive deep into the technology both from a product and customer perspective, working with software engineers and business partners to define, build, launch and grow new technology-driven products and services. With input from business stakeholders, they develop business and product requirements, prioritize needs, and manage milestones and overall roadmap. Examples of organizations where PMTs may work include (but aren’t limited to): Amazon Web Services (AWS), Prime Video, Alexa, Game Services, and Supply Chain Technologies.About 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.-Internship start dates will be between May-June 2025 for a 12-week, consecutive internship.BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2025 and September 30, 2026.- 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. ...

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

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration.As a member of the Cloud-Scale Machine Learning Acceleration team, you will be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia, which is a machine learning inference product designed to deliver high performance at low cost.If you are interested in ""building a complete product"" from inception to delighted customers, Annapurna is a fantastic choice.If this sounds exciting to you - come build the future with us!Key job responsibilities• Be part of hardware design team for acceleration cards, servers, and electrical validation for silicon• Work on schematic design for new acceleration cards• Be involved with AWS Servers testing• Participate in modeling and simulation of interconnectsAbout the teamMentorship & Career GrowthOur team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 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.Work/Life HarmonyOur team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives.BASIC QUALIFICATIONS- Enrolled in a Bachelors’ degree program or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2025 and September 2026- Academic, internship, or professional experience with schematic design and layout review of PCBs- Academic, internship, or professional experience with x86 system design and microcontroller programming- Familiarity with oscilloscope and multimeters ...

This is an excellent opportunity to join Amazon's world class Database and Analytics focused technical team in Seattle, WA, working with some of the best and brightest engineers and technical managers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies anywhere.A successful engineer joining the team will do much more than write code and triage problems. You will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. You will dive deep into technical issues and work diligently to improve the customer experience. By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time.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 responsibilitiesDo you enjoy helping U.S. Intelligence Community and Defense agencies implement innovative cloud computing solutions and solve unique technical problems? Would you like to do this using the latest cloud computing technologies and become a core part of the largest cloud infrastructure on the planet? AWS is seeking an Systems / DevOps Engineer to own and advance mission critical services in our Amazon Dedicated Clouds (ADC).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 applyingBASIC QUALIFICATIONS- 3+ years of systems administration experience (Linux/Windows).- Experience working with scripting languages.- In lieu of above relevant work experience, degree in Computer Science, Engineering or a related field.- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!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 ...

mmPROS Surface Research Science seeks an exceptional Applied Scientist with expertise in forecasting and risk modeling 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 air planes to transport millions of packages per day as well as other freight between warehouses, vendor facilities, and customers, on time and at low cost. The mmPROS 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 forecasting, risk quantification, and other machine learning models to decide the optimal long-term and short-term strategy for truck capacity procurement and other planning problems.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 machine learning and optimization problems, and you will work in close collaboration with partners across product, engineering, business intelligence, and operations. Key job responsibilities- Design, develop, and implement forecasting models, risk models, and other machine learning models to inform our hardest planning decisions.- Implement machine learning and risk models 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 aim to leverage cutting edge 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 ...