Amazon.com Services LLC

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 computer vision services such as Amazon Rekognition, Amazon Textract, and Amazon Lookout for Vision. 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 and semi-supervised methods active learning and semi-automated data annotation, large scale image and video recognition, face detection and recognition, document OCR and scene text recognition, document understanding, 3D scene and layout understanding, and localization and mapping. We are hiring for all our locations in the USA (Seattle, Pasadena, Bay Area) and Israel (Haifa and Tel Aviv). About Us 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 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 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our 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. Mentorship & Career Growth Our 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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. About the teamAbout AWSDiverse ExperiencesAWS 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 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.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 ...

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! In this role, you will invent science and systems for Transactional Video on Demand and Channels, including machine learning-based pricing and promotion systems. You will work with a team of scientists and product managers to design customer-facing products, and you will work with technology teams to productize and maintain the associated solutions.We are looking for an applied scientist to join our interdisciplinary team of Data Scientists, Applied Scientists, Economists, Data Engineers and Software Engineers. The ideal candidate combines machine learning expertise with the ability to deploy algorithms into production. You have deep knowledge of recommender systems and/or personalization models and experience applying them to Amazon-scale data. You understand tradeoffs between business needs and model complexity, and you take calculated risks in developing rapid prototypes and iterative model improvements. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into production systems and business action (and customer delight).Key responsibilitiesAs an Applied Scientist on this team, you will:- Develop and implement recommender models for studio partners and customers;- Perform hands-on analysis and modeling of enormous datasets to develop insights that increase customer engagement and monetization;- Run experiments, gather data, and perform statistical analysis;- Collaborate with tech and engineering teams to develop and optimize production systems;- Research new and innovative machine learning approaches;- Work with other scientists to raise the science and coding bar across Prime Video.About 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 ...

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!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse- Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience researching about machine learning, deep learning, NLP, computer vision, data science ...

Amazon’s Automated Inventory Management (AIM) team is looking for passionate, hard-working, and talented individuals to join our fast paced, stimulating environment to help invent the future of business ownership with Technology, and to translate big data into actionable insights.The AIM team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization.As an Applied Scientist on the AIM team, you will design quantitative systems, prediction models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build solutions to provide insights to business leaders at the most senior levels throughout the company.Key job responsibilitiesImplement statistical and machine learning methods to solve complex business problemsResearch new ways to improve predictive and explanatory modelsDirectly contribute to the design and development of automated prediction systems and ML infrastructureBuild models that can detect supply chain defects and explain variance to the optimal stateCollaborate with other researchers, software developers, and business leaders to define the scientific roadmap for this teamBASIC QUALIFICATIONS- 2+ years of building models for business application experience- PhD, or Master's degree and 1+ 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 ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As a Machine Learning or Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.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.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.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.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 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.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 ...

Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale Computer Vision / ML systems for robotics in fulfillment centers. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. We hire and develop CVML experts in robotics with a focus on deep learning, foundation models, generative models, intelligent control, semi-supervised and unsupervised learning. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We are seeking an experienced Computer Vision ML Applied Science Manager to lead a team of talented applied scientists and software engineers developing and deploying advanced vision, machine learning and optimization algorithms. You will drive CVML innovation that enables manipulation in high-contact, high-density, and diverse conditions with the speed and reliability that will delight our customers. Collaborating with cross-functional teams across hardware, software, and science, you will deliver reliable and high-performing solutions that will scale across geographies, applications, and conditions. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables computer vision to significantly impact the lives of millions of consumers.Key job responsibilities* As a manager, you will be responsible for researching, implementing, delivering and maintaining critical computer vision and machine learning capabilities at amazon robotics.* You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.* You will keep your technical skills current to contribute to architecture and design discussions.* You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.* Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects.A day in the life- Prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks.- Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications. - Guide the research, design, deployment, and evaluation of complex computer vision and machine learning algorithms for contact-rich, cluttered, real-world manipulation problems.- Work closely with motion, hardware, and software teams to create integrated robotic solutions that are better than the sum of their parts.- Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively.Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of industry or academic research experience- 6+ years of applied research experience- 3+ years of scientists or machine learning engineers management experience- Experience building machine learning models or developing algorithms for business application- Experience programming in Java, C++, Python or related language- 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- Strong understanding of computer vision and machine learning (classical, deep neural networks and foundation models) ...

We are Amazon’s Finance Operations organization and responsible for Amazon’s strategic customers Payables and Receivables. We are responsible for making on-time, accurate payments, billings and collections on behalf of North America Retail. We are seeking an Accounts Receivable (AR) Analyst that will work directly with our customers, upstream billing, sales and finance teams to coordinate on time collection of revenue. You will l own the relationship with the customers and provide day to day support to enable timely payments. This position will lead efforts to dive deep into vendor payment data, drive process improvements, standardize processes, and eliminate root-cause defects within existing systems. By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us. Primary responsibilities:- Systemically intake, escalate, and triage customer payments (payables and billings), contacts, and issues and follow-through to resolution, including executive-level communication.- Recognize escalation trends and identify underlying defects and root causes.- Partner with and influence upstream and downstream teams- Meet or exceed monthly collections goals- Leverage data from numerous databases and internal tools (using Excel, SQL, or other data management systems) to perform reporting and analysis.- Communicate directly with customers to resolve invoice and billing discrepancies and ensure timely and accurate payment.- Work across US time zones as needed. Key job responsibilities- Single point of contact for all billing and collections related task for strategic Government and Commercial customers for AWS- Understand the end to end relationship with the customers and proactively manage past due balances- Create statement of accounts, communication plans, SOPs for specific customer accounts- Report collections related key metrics on daily, weekly and monthly basis- Create and share root cause analysis & write documents for dive deep sessions- Escalate to senior leadership key issues that could impact collections- Deliver on multiple data requests and participate in process improvement workshops- Manage highly ambiguous situations and communicate effectively with multiple stake holders 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.A day in the lifeThe Accounts Receivable Analyst is responsible to collect against a portfolio of accounts.Analysts are required to work to collect against past due and aged accounts; meeting or exceeding monthly collections goals. Performance on collections is the top metric for success in this position. Analysts are also expected to recommend process improvements, write documents explaining the health of assigned accounts, and build SOPs and training plans.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 2+ years of tax, finance or a related analytical field experience- 4+ years’ experience with key performance indicators (KPIs) and applying them to analyses- Ability to communicate effectively with Senior Government Officials in a collections type role- Experience identifying, leading, and executing opportunities to improve, automate, standardize or simplify tools and processes- Current, active US Government Security Clearance of TS/SCI with Polygraph. ...

We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, across the breadth of Amazon Shopping and AGI 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- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 7+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- 5+ years of applied research experience ...

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 ...

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, 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 systems for real-world interactions with a focus on the speech modality. You'll develop neural efficiency algorithms, 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 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 ...

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 ...

Veeqo (veeqo.com) — a startup which was acquired by Amazon in 2021 — is Amazon’s recommended shipping solution for sellers. Our vision is to become the back-office hub for ecommerce sellers, for both their on-Amazon and off-Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time.Veeqo is seeking an Amazon Partnership Manager to drive and manage internal partner relationships to join the partnership team globally. This role is integral to driving warm referrals to our outbound sales team. In this role, you will be responsible for fostering existing relationships with Amazon partner teams, educating on Veeqo benefits and offering. Managing go-to-market strategies with partner teams including: creating educational content, reporting on progress and executing operational steps, such as lead to launch to Seller success through Salesforce management. The Amazon Partnerships Manager will require a deep knowledge of the Selling Partner experience and community as well as strong learn and be curious, invent and simplify, and bias for action. Key job responsibilities1. Strategic Relationship development: develop/maintain/and educate key executive relationships with Amazon team stakeholders2. Develop and implement strategies/content to strengthen internal partnerships3. Create strategic go-to-market plans for internal teams: create tracking mechanisms and build flashes to execute narratives.4. Collaborate with internal teams to educate them about our products and features. Own goals for partner led programs and drive cross-functional collaboration.5. Identify and pursue partnership opportunities outside of existing ones. 6. Track and analyze partnership performance metrics to optimize results.BASIC QUALIFICATIONS- 3+ years of business development, partnership management, or sourcing new business experience- 3+ years of developing, negotiating and executing business agreements experience- Bachelor's degree- Experience with sales CRM tools such as Salesforce or similar software- Experience in setting up and managing a sales pipeline ...

Amazon Seller Services (www.amazonservices.com) is seeking a dynamic and motivated Account Executive for the Seller Growth sales development team. We are a fast-growing, e-commerce marketplace business focused on accelerating growth of US domestic 3P Selling Partners into medium and large scale businesses by providing bespoke strategic advice in order to develop their business on the Amazon store.This role will focus on building trust through win-win relationships with 3P Selling Partners to drive engagement and adoption of growth-driving programs. We help accelerate program adoption for key growth opportunities by coaching Sellers on the fundamental building blocks to develop their business long-term on Amazon.com consisting but not limited to Fulfillment by Amazon (FBA), Amazon Advertising, Amazon Brand Registry, etc.Key job responsibilitiesThis individual will work with internal stakeholders and cross-functional teams to create and present compelling Amazon solutions that meet and exceed customer requirements. You will be chartered with managing a strategic sales pipeline to deliver sales results and ensure Seller satisfaction. This individual will be responsible for building relationships with senior and executive level decision-makers to accelerate growth lever adoption.• Deliver the highest level of sales and customer service to our strategic sellers.• Retain and grow revenue from existing. • Utilize Sales CRM tools to track all pertinent account information and sales progress as well as forecast and prioritize to achieve quarterly quota goals.• Understand and learn about the e-commerce industry and competitive environment including knowledge of competitive product offerings.• This role currently requires a minimum of three days working from the assigned office a week and will require travel as needed. Beginning January 2, 2025, the expectation will be five days a week of in office presence with travel as needed.A day in the lifeAbout the teamOur team is dedicated to supporting new members thrive in their career. We have a broad mix of experience and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We strive for an open environment to expand on your strengths while isolating growth opportunities in order to drive longer term career success.BASIC QUALIFICATIONS- Experience positioning and selling innovative solutions to new and existing customers and market segments- Experience with Microsoft Office products and applications- Experience with sales CRM tools such as Salesforce or similar software- Bachelor's degree or equivalent ...

Amazon internships are full-time positions, and interns should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as class or other employment during the Amazon work day.Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video & Amazon MGM Studios is seeking dynamic and self-motivated MBA interns to work hard, have fun and make history with us this summer. Product Marketing Manager (MBA Intern): The Product Marketing Manager (MBA Intern) will identify business opportunities and developing strategic recommendations through data analysis and stakeholder interviews. This may include defining marketing measurement benchmarks for Owned & Operated channels, requiring collaboration with Business Intelligence, Prime Video, and Channels teams to enhance marketing reporting and performance measurement. The intern will analyze audience behaviors, collaborate with product and BI teams to advocate for improvements, and regularly share insights with key stakeholders to inform product marketing strategies.US Programming MBA Intern: The intern will report directly to the Sr. US Release Strategy Manager who works across the US Prime Video marketplace. The intern will help with cross functional deliveries to senior leadership and gain exposure to multiple lines of the business. Each day is different, and while some days may be more admin heavy, others will be focused on listening on calls, learning more about the programming process, and meeting with internal stakeholders.Marketing Finance Strategist MBA Intern: This Intern will create a comprehensive marketing performance tracking system, integrating data from multiple channels. They will develop a user-friendly budget tracking system, performance analysis models, and interactive dashboards to visualize marketing spend and impact. The project involves analyzing historical data, identifying efficiency opportunities, and proposing optimization strategies. The internship will conclude with a presentation to stakeholders, offering recommendations for improved budget tracking and operational enhancements in marketing.Creative Strategy MBA Intern: The Creative Strategy & Planning team sits at the intersection of strategy, creative development, programming and operations, providing insights, tools, and processes that drive the studio’s decision-making. This internship offers a unique opportunity to work with the studio responsible for delivering Prime Video’s US/Global Original films and series, including breakout hits like The Boys, Fallout, The Idea of You, and The Summer I Turned Pretty, and many more. The intern will collaborate with creative leaders and cross-functional partners, manage the development pipeline for Streaming Originals, and deliver key projects for senior leadership. This hands-on experience will provide insights into the creative lifecycle of films and series.Key job responsibilitiesThe Product Marketing Manager (MBA Intern) will identify business opportunities and developing strategic recommendations through data analysis and stakeholder interviews. This may include defining marketing measurement benchmarks for Owned & Operated channels, requiring collaboration with Business Intelligence, Prime Video, and Channels teams to enhance marketing reporting and performance measurement. The intern will analyze audience behaviors, collaborate with product and BI teams to advocate for improvements, and regularly share insights with key stakeholders to inform product marketing strategies.The US Programming MBA intern will manage both short-term and long-term projects. Daily responsibilities include maintaining the release calendar, analyzing audience demographics per title, and proposing cross-business solutions. The intern's main project will focus on optimizing slate programming to meet US audience needs and balance service requirements with customer preferences.The Marketing Finance Strategist MBA intern will develop a comprehensive, user-friendly system for analyzing marketing performance across all channels, including Creative Advertising, Media, Social, Influencer, Partnerships, and Events. This involves building performance analysis models, creating interactive dashboards to visualize marketing spend and impact, and analyzing historical data to identify efficiency opportunities. The role includes proposing strategies to optimize marketing workflows, assisting with reports and presentations for key stakeholders, and supporting the Marketing Operations team in daily activities and special projects.The Creative Strategy MBA intern will play a key role in supporting Prime Video Studios (PVS) leadership. This will involve producing executive development reports across Film and TV verticals to ensure data integrity, developing comprehensive pipeline presentations to provide visibility into upcoming projects, and preparing high-impact global slate presentations showcasing the upcoming streaming Originals. The intern will work closely with the Studios team to deliver insightful analytics and presentations that inform strategic decision-making.BASIC QUALIFICATIONS• Have an expected graduate date between December 2025 – September 2026• Be able to work 40 hours/week and commit to a 12-week internship• Currently enrolled in an MBA or equivalent master’s level program at the time of application ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025 Travel amount is less than 10% a year.Key job responsibilities- Converting data into digestible business intelligence and actionable information- Design and develop highly available dashboards, perform business analysis and data queries using SQL, Python and other BI Tools- Working with large data sets, automate data extraction, and build monitoring/reporting dashboard- Story telling with Data and Visuals- Interacting with internal stakeholders to deep-dive outlier events- Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities- Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable formatBASIC QUALIFICATIONS- Knowledge of Tableau or Power Query- Knowledge of SQL- Work 40 hours a week throughout the course of a 10 weeks to a 6 months summer internship- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)- Are 18 years of age or older ...

Amazon has an immediate opening for an Accounting Manager to join our Lease Accounting Finance and Business Integration team. This position supports and can directly influence the launches of Amazon’s global business initiatives related to process automation and transformation in the Worldwide Leasing space. This leader will work closely with the global Accounting Operations, Finance, Tax, Lease Administration, Business and Financial Systems teams driving lease transactions and will represent Accounting to various stakeholders. In this role, the candidate will be part of a team that collaborates with business, finance and technical teams to deliver world class solutions that are highly scalable, secure, and flexible. This person will have operated successfully in a fast-paced, global, results-oriented environment. Strong oral and written communication skills are crucial, as well as ability to think clearly, analyze quantitatively, problem-solve, scope business requirements and prioritize.Successful candidates will have a thorough experience with ASC 842 Lease Accounting, financial processes, financial account reconciliations, project management, accounting requirements documentation, process design, and user acceptance testing responsibilities. Demonstrated experience in leading teams to accomplish unusually complex challenges is expected as this is an ongoing requirement for this position. Key job responsibilities- Owns and manages the lifecycle of a high impact, complex and cross-functional program where the business problem and program strategy may not be well defined. - Identify and drive implementation of process and technology improvements that can be leveraged globally within the lease accounting organization.- Serve as the subject matter expert (SME) for, and represent, lease accounting functions with teams across the organization.- Own delivery of accounting requirement documentation.- Execution of user acceptance testing.BASIC QUALIFICATIONS- 5+ years of finance or a related analytical field experience- Bachelor's degree in accounting or related field ...

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 the Global Reliability Maintenance Engineering (RME) Central Team. We are a smart team of doers who work passionately to apply cutting edge advances in mechatronics and robotics, to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet.The Amazon Technologies Portfolio (ATP) Team supports a suite of advanced robotics and mechatronics technologies deployed globally to fulfill and ship customer orders. The team is responsible for the lifecycle management of these products, distributed across five major categories: Robotic Work Cells, Pack Automation, Sortation Automation, Amazon Fulfillment Technologies, and Specialty Automation Technologies. In this role, you will work with a wide number of stakeholder teams, to maximize the performance, availability and quality of the technologies in the team’s portfolio. To accomplish so you will drive strategic partnerships with key stakeholders including Operations, field RME, Mechatronics and Sustainable Packaging (MSP), Process Engineering, Supply Chain, World-Wide Design and other RME Central Teams. Your will deliver robust lifecycle management approaches, that are scalable, reduce manual work and overall reduce the cost of ownership of these products. You will deliver this through the use of statistics and data analytics, structured problem solving (5-why’s, 8D, FMEA), implementation of global support mechanisms, system performance monitoring tools, identification and dissemination of best practices. In this role, you will develop and implement standard operating procedures, performance metrics, and feedback mechanisms to enable the maintenance programs for these assets to effectively scaleKey job responsibilitiesPartner with product development and support teams, and site level RME teams, to maximize the performance of advanced robotics and mechatronics systems.Develop and implement standard operating procedures, performance metrics, and feedback mechanisms for your team’s technologies. Develop metrics and proactive monitoring tools to measure the reliability and performance of advanced robotics systems as well as measure success of support mechanisms.Build an effective working relationship with key stakeholders and engineering leaders supporting Amazon OperationsIdentify, analyze and resolve reliability, availability and maintainability issues across the product suite.Partner with leaders and engineers in the MSP organization to deliver new and innovative products to the customer fulfillment network.Travel up to 25% of the time, to capture voice-of-the-customer and anecdotes first hand, and generate buy-in for initiatives.Write effective narratives and present them to Sr. Managers and Directors. This role requires experience developing and executing/delivering product and technical roadmaps in the field of automation and robotics. You should have experience working directly with automation and robotics engineering teams.BASIC QUALIFICATIONS• BS in Engineering (Mechanical, Electrical, Industrial, or related field) • Knowledge and/or working experience with statistical analysis tools, data visualization, and program management• 5+ years’ experience working with engineering teams. • Experience leading disciplined technical problem-solving. Demonstrated experience with 8D, 5-Why, Fishbone, and FMEA, among others.• Experience with written and oral communications skills for technical and non-technical audiences, with the ability to discuss complex technical issues with both technical and non-technical teams• Ability to manage multiple high-priority tasks simultaneously through delegation. ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, 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 talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of audio technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in speech/audio/music domains.About the teamOur team has a mission to push the envelope of AGI in speech/audio/music domains, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with LLM model training and tuning ...

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.As an Applied Scientist on our team, you will be working with talented scientists, engineers, and technical program managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements and has experience in Natural Language Processing, Ads recommendation systems, information/evidence retrieval and/or LLM prompt engineering. 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!We are open to hiring candidates to work out of one of the following locations:Seattle, WA and New-York, NYKey job responsibilities- Serve as the Science lead in defining the Science charter for the team (for an entirely new space using LLMs) & leading other AS on the team- Build POCs, experiment, optimize and deploy models into production- Partner with other Science teams within the org to deliver features for a net new shopper experience - Run experiments/weblabs and be able to perform statistical analysis- Mentor other scientists on the team- Partnering with Principal PMT and SDM to influence the Product strategyNice to have - Experience in Ads recommendations & information / evidence retrieval - Experience working with Large Language Models & Prompt EngineeringBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon Freight is seeking a highly skilled and motivated Freight Operations Associate to support the movement of freight shipments for our external customers. This is an exciting opportunity to join a rapidly growing team responsible for ensuring seamless freight movements across North America for our customers.The ideal candidate will have a background in transportation and logistics, with excellent data analysis and problem-solving skills. You will be responsible for communicating directly with external partners such as carriers and suppliers to resolve daily freight movement issues. This role requires the ability to quickly understand business impacts, pull and analyze data from multiple systems, and drive process improvements to eliminate root causes of defects.Key job responsibilities• Maintain constant, tactical communication with external freight partners (carriers, suppliers, and customers) and internal stakeholders (product, business intelligence, sales, and fulfillment centers)• Expertly pull data from various databases using tools like Excel, SQL, and Access to perform ad-hoc reporting and analysis• Publish performance metrics to help drive business results and identify areas for improvement• Systematically escalate issues or data variances to the appropriate teams and follow through on resolutions• Meet tight deadlines to address critical business needs while tracking and measuring your own activities• Demonstrate strong verbal and written communication skills to present findings and recommendationsBASIC QUALIFICATIONS- 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience- High school or equivalent diploma- Work 40 hours/week, and overtime as required- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- Are 18 years of age or older ...