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At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship 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.Sr. Marketing Managers (MM): MMs at Amazon drive general marketing, product marketing or functional marketing initiatives for organizations including (but not limited to): Amazon Music, Prime Video, Alexa Devices, Kindle, Amazon Web Services (AWS), North America Consumer (such as Retail Systems, Customer and Brand Protection, Marketplace Sales, International Retail, Hardlines, and Softlines) and Prime. They work cross-functionally to develop marketing plans, define success metrics, manage strategic projects, and own business outcomes. MMs ultimately become marketing leaders responsible for large business segments and organizations.Key job responsibilities• Sr. General Marketing Managers can be responsible for developing mass brand campaigns, integrated marketing programs, annual marketing plans, creative strategies and go-to-market.• Sr. Product Marketing Managers can be responsible for developing marketing plans, positioning, pricing, messaging, funnel optimization and lifecycle marketing. • Sr. Functional Marketing Managers can be responsible for developing global paid media plans, cross-channel outbound campaigns, merchandising programs and promotion strategies.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. ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Do you want to join an innovative team of scientists who use deep learning, natural language processing, large language models to help Amazon provide the best seller experience across the entire Seller life cycle, including recruitment, growth, support and provide the best customer and seller experience by automatically mitigating risk?Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience? Do you like to build end-to-end business solutions and directly impact the profitability of the company? Do you like to innovate and simplify processes?If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group.Key job responsibilitiesThe scope of an Applied Scientist II in the SPS Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with project leaders, engineers and business partners to design and implement solutions at scale. The scientist focuses on components of large-scale projects, systems and products and can work independently and with the team to deliver successful solutions with medium to large business impact. The scientist helps our team evolve by actively participating in discussions, team planning, and by staying current on the latest techniques arising from both the scientist community in SPS, the larger Amazon-wide community, and beyond. The scientist develops and introduces tools and practices that streamline the work of the team, and he mentors junior team members and participates in hiring.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 excited about developing cutting-edge generative AI, large language models (LLMs), and foundation models? Are you looking for opportunities to build and deploy them on real-world problems at a truly vast scale with global impact? As part of AFT (Amazon Fulfillment Technologies) AI, a group of over 50 scientists and engineers, we are on a mission to build a new generation of dynamic end-to-end prediction models (and agents) for our warehouses based on GenAI and LLMs. These models will be able to understand and make use of petabytes of human-centered as well as process information, and learn to perceive and act to further improve our world-class customer experience – at Amazon scale.We are looking for an Applied Scientist who will help us build next-level process prediction and shift simulations for all systems in a full warehouse with the help of generative AI, graph neural networks, and LLMs. Together, we will be pushing beyond the state of the art in simulation and optimization of one of the most complex systems in the world: Amazon's Fulfillment Network.Key job responsibilitiesIn this role, you will dive deep into our fulfillment network, understand complex processes, and channel your insights to build large-scale machine learning models (LLMs and Transformer-based GNNs) that will be able to understand and predict the state and future of our buildings, network, and orders.You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will work with and in a team of applied scientists to solve cutting-edge problems going beyond the published state of the art that will drive transformative change on a truly global scale.If you thrive in a dynamic environment and are passionate about pushing the boundaries of generative AI, LLMs, and optimization systems, we want to hear from you.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.BASIC QUALIFICATIONS- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- 1+ years of building models for business application experience ...

Business Intelligence Engineer Come build the future as a Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/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. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, 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.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Interested in helping build Prime's content and offer personalization system to drive huge business impact on millions of customers? Join our team of Scientists and Engineers developing algorithms to adaptively generate, optimize, and personalize the customer experience with Amazon Prime. This includes identifying who our customers are and providing them with personalized relevant content. As an ML scientist, you will partner directly with product owners to intake, build, and directly apply your modeling solutions.There are numerous scientific and technical challenges you will get to tackle in this role, such as deep learning and reinforcement learning, and their application to various types of contextual, multi-step optimization of the customer journey. We employ techniques from supervised learning, multi-armed bandits, optimization, and RL - while this role is focused on the space of discriminative and generative recommender systems.As the central science team within Prime, our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of.You will also utilize and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ...), various ML algorithms and techniques (Random Forests, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement learning, LLMs), and statistical modeling techniques.Major responsibilities - Build and develop machine learning models and supporting infrastructure at TB scale, in coordination with software engineering teams. - Leverage Bandits, Supervised Learning, and Reinforcement Learning for Contextual Recommendation and Optimization Systems. - Develop offline policy estimation tools and integrate with reporting systems. - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes. - Work closely with the business to understand their problem space, identify the opportunities and formulate the problems. - Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems. - Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems. BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience applying theoretical models in an applied environment ...

Work Address: 1920 Terry Ave Seattle, Seattle, WA, 98115  Pay Rate: $20.50 per hour Availability Requirements: Part-time: Shift availability required 3 weekdays and 1 weekend day per weekShifts are between 5 a.m. and 11 p.m. and may be up to 8 hours long Job Responsibilities ...

Are you a coder who loves to write? Do you want to have a profound impact on the future of Cloud Technology? The Technical Content Experience (TCX) team, also known as AWS Documentation, is looking for a programmer writer to support Amazon OpenSearch, a fully managed service that makes it easier to deploy, operate, and scale OpenSearch (now supporting Apache Lucene 9) clusters securely and cost-effectively on AWS. You will need a technical background with experience writing technical documentation. You should also understand identity and access management concepts and have respect for security best practices. You should have a unique ability to think big and anticipate how customers will want to use AWS services together to deliver results.This is an opportunity to explain complex information concisely. The successful candidate will demonstrate a history of seamless interactions with software developers, technical product managers, developer advocates, customer representatives, and customers. This is a customer-obsessed, dynamic team of talented, geographically distributed, highly technical communicators. Join us on our journey to provide high-quality documentation and code examples to our customers.1002710028Key job responsibilities* Create and maintain technical content for Amazon OpenSearch customers that is accurate, discoverable, and well-organized.* Work with metrics and stakeholders to make improvements to OpenSearch documentation and UX to continually improves customer experience.* Develop scripts, sample code, and technical procedures that are easy to use.* Develop and formalize working relationships and processes to ensure code examples in guides are up to date, run as expected, and have unit tests.* Mentor junior team members in team tools and processes, and provide guidance in how to create and publish code examples.* Implement efficiencies that increase team output.* Anticipate customer needs and be the "first customer".* Dive deep to become a subject-matter expert in your area of ownership.* Impact product CX, UX design, roadmap priorities, and engineering team goals.A day in the lifeOur team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.About the teamThe AWS Documentation team writes and provides support for a diverse technical audience, such as developers, DevOps professionals, IT professionals, and technical program managers. On behalf of our customers, we innovate, we research, we learn, and we experiment. We collaborate with product managers to understand our customers’ needs. We partner with software developers to learn about the inner workings of AWS services so that we can influence product design and the customer experience with the product. We know that what we do makes a difference to our customers. We work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Diverse 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* Degree or certification in a relevant technical field or equivalent experience* A minimum of 5 years in a technical writing or programming role with high-quality written work artifacts* Proven experience designing and delivering developer-oriented documentation* Experience with or understanding of cloud computing, including cloud storage technologies* Experience with open-source libraries* Experience with API documentation* Experience working directly with software engineering and development teams* Strong written and verbal communication skills* Passion for learning new tools, programming languages, and techniques* Passion to thrive in a fast-paced, ever-changing environment* A proactive and open-minded attitude to resolving problems and delivering results ...

We are looking for an Applied Scientist that will develop scientific algorithms, and deploy Large Language Model (LLM) solutions to improve the customer experience. The Applied Scientist will work closely with technology and product teams to solvebusiness and technology problems using scientific approaches to build new services that surprise anddelight our customers. As an Applied Scientist at Amazon, you will apply scientific principles to support significant invention, develop code, and will be deeply involved in bringing their algorithms to production. You will also work on cross-disciplinary efforts with other scientists within Amazon.Key job responsibilities- Develop scalable efficient solutions for customers using scientifically-based methods, LLM and decision making.- Help support production systems that take inputs from multiple models and make decisions in real time.- Automate feedback loops for algorithms in production.- Utilize Amazon systems and tools to effectively work with terabytes of data.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThe Shipping and Delivery Support (SDS) Tech team’s mission is to enable successful deliveries through fast and efficient support experiences for our drivers, recipients, and associates. The science team utilizes advanced scientific methods, including LLM to support the business, and improve driver support quality and deliveries efficiency.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 ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer.Key job responsibilities* Support, mentor, and motivate your hourly workforce* Manage safety, quality, productivity, and customer delivery promises* Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives* Lift up to 49 pounds and frequently push, pull, squat, bend, and reach* Stand/walk for up to 12 hours during shifts* Work in an environment where the noise level varies and can be loud* Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments)* Continuously climb and descend stairs (applies to sites with stairs)Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings.BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. We optimize product placements using a combination of machine learning and natural language processing (NLP) algorithms operating in low latency, high-volume systems. We are highly motivated, collaborative and fun-loving, with entrepreneurial drive 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.As an Applied Scientist III, you will take ownership of the technical roadmap and delivery of real-time, scalable machine learning models influencing ad selection, relevance and ranking models. You will work with other Applied Scientists and Machine Learning Engineers to experiment and innovate quickly with a diverse set of models, features and techniques in a high-volume, low-latency environment. Our workflows scan billions of documents, with milliseconds of latency budget while ensuring high relevance of retrieved items. So the level of quality and reliability is critically important.As a Applied Scientist III on this team, you will: - Build machine learning models that can scale to our run-time requirements. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Help recruit and mentor other Applied Scientists on the team.About the teamThe Sponsored Product search entitiy sourcing delivery team helps deliver billions of ad impressions and millions daily clicks daily. Our core charter revolves around building state-of-art machine-learning (ML) and natural-language-processing (NLP) methodologies to improve the search indexing & ranking mechanisms, which will directly improve the customer experience. We’re a talented team of scientists and engineers working on complex and ambiguous problems, and we have an engineering-driven culture that influences business outcomes.BASIC QUALIFICATIONS- 6+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

We are seeking an experienced and innovative Battery Research Scientist III to lead advanced research initiatives in battery cell technology and safety. This senior-level position will focus on pushing the boundaries of current battery technology while developing cutting-edge solutions for thermal runaway mitigation and protection. Key Responsibilities:1. Battery Cell Technology Research:-Lead the development of next-generation battery cell architectures, focusing on improving energy density, power output, and cycle life.-Spearhead research into novel electrode materials, electrolytes, and separators.-Design and oversee complex experiments to evaluate battery performance, degradation mechanisms, and failure modes.-Develop predictive models for battery performance and lifespan.2. Thermal Runaway Mitigation and Protection Research:-Direct research efforts in advanced thermal management solutions for high-capacity lithium-ion batteries.-Pioneer innovative materials and designs to enhance battery safety and prevent thermal runaway events.-Oversee the development and implementation of sophisticated thermal runaway tests and failure mode analyses.-Lead the creation of industry-leading safety protocols for battery testing, manufacturing, and usage.3. Leadership and Project Management:-Serve as principal investigator on major research projects, managing budgets, timelines, and deliverables.-Mentor junior scientists and provide technical leadership to cross-functional teams.-Collaborate with senior management to align research goals with organizational objectives.-Establish and maintain partnerships with academic institutions and industry leaders.4. Innovation and Intellectual Property:-Drive the creation of new intellectual property, leading patent application processes.-Represent the organization at high-level conferences and industry events.-Author and co-author publications in top-tier scientific journals.-Identify emerging trends in battery technology and propose strategic research directions.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000BASIC QUALIFICATIONS- 7+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience- PhD, or Master's degree and 7+ years of quantitative field research experience- Experience communicating qualitative research methods and findings to non-qualitative researchers ...

Amazon Selling Partner Recruitment and Success is seeking a dynamic and motivated Account Representative for our Direct Sales new business development team. The Account Representative will be responsible for recruiting and launching new brands within the Softlines, Hardlines, and Consumables category. Key job responsibilities This person will be the primary point of contact for those companies throughout the entire sales process. The Account Representative will be chartered with developing and managing a sales pipeline mix of both high value and transactional accounts while executing sales strategies to secure deals that will exceed aggressive account acquisition and output goals. Specifically, this individual will be responsible for identifying and building relationships with key influencers and decision-makers within the senior management and executive teams of prospective accounts, along with internal stakeholders and cross-functional teams to create and present compelling Amazon solutions that meet and exceed customer requirements.As an organization, Amazon’s North American Seller Services is uniquely highly influential by coordinating across Amazon customers, Amazon category teams and Amazon Sellers. We are a business development organization; we drive growth for over 2MM Amazon Sellers through business intelligence, cross-selling efforts and integrated Account Management. We are successful by focusing on aggressive growth for our Sellers’ businesses.A day in the lifeCore Responsibilities: - Identify, qualify, acquire and grow seller commitment to Selling on Amazon programs. - Analyze customer data and make recommendations in order to maximize the potential of the assigned territory. Execute successfully on the plan recommended. - Implement and track metrics for recording the success and quality of the sellers in your territory. Use these metrics to guide your work and uncover hidden areas of opportunity. - Manage complex contract negotiations and serve as a liaison to the legal team. - Prospect and close business to achieve quarterly quota targets for both the quantity and quality of sellers recruited. - Understand and utilize the right tools to track all pertinent account information and sales progress as well as forecast and prioritize to achieve quarterly quota goals. - Develop a thorough understanding of the e-commerce and Softlines industry and competitive environment including knowledge of competitive product offerings. - Prioritize and complete additional projects while maintaining current book of business such as mentorship, competitive analysis, and sales analysis. - Prepare and deliver business reviews regarding progress and state of health for the respective territory. - Meet or exceed quarterly revenue targets and operational metrics. - Create and articulate compelling value propositions around the Selling on Amazon product. - Develop a clear understanding of the Selling on Amazon products along with the features and functionalities. - Assist internal partners to drive change, remove roadblocks and close business.BASIC QUALIFICATIONS- Bachelor's degree or equivalent, or 5+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience- At least 5 years of business-to-business selling experience- Experience prospecting, qualifying, and cold-calling companies- Demonstrated success in exceeding sales targets using a consultative, solutions-focused approach ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.The Anti-DDoS team is the frontline defense for all DDoS threats world-wide, against all Amazon & AWS customers and services. Our architecture must be highly scalable, performant, and continually evolve against threats as they emerge. The Anti-DDoS team is looking for software engineers to solve incredibly challenging low-level networking problems, deliver new capabilities, and continue to scale our platform to meet the increasing needs of our customers world-wide. The ideal candidate has strong technical background in computer networking and programming experience in Java, C, C++. Knowledge of DPDK is a definite plus! Candidates who enjoy computer networking, deep packet analysis, low-level, performance sensitive, systems programming and have deep analytical skills and excellent communication skills will find the Anti-DDoS team to be inline with their interests and desire for challenge. You must be able to highly collaborate, be creative, analytical and thrive in fast-paced environments, all while interacting with highly technical software and networking development teams.About the team*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.*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.*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.*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.*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.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure. About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. About the teamDiverse 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. 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.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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 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.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. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

Would you like to 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 build 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. You'd work with some of the best and brightest engineers in the industry, while also developing your skills and furthering your career within one of the most innovative and progressive technology companies anywhere.Serverless is one of the fastest growing organizations within AWS and we are looking for technical leaders who share our passion to change the way the world computes. Serverless in Seattle builds and supports fully managed services, such as ElB, L7, Privateling, Lambda, Simple Workflow, Step Functions and internal services that power our cloud offerings. Our customers are able to build scalable, fault-tolerant production systems without thinking about the needed infrastructure, capacity management, or large scaling events. Many of the hard problems of distributed systems are abstracted away by our Serverless services, so that our customers can focus on solving their business problems.We are seeking highly motivated engineers who are focused on operational excellence and troubleshooting complex system operations, have a good understanding of Linux, networking and general knowledge of cloud services. We need engineers who understand how to think big, and simplify solutions to complex problems; all the while ensuring that our customers continue to have the best experience possible.In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You may identify when technical implementations have defects or are not highly available, performant, or maintainable. You understand operational risk and avoid taking unnecessary risks. You identify operational concerns and resolve, mitigate, or escalate the concerns in a timely manner.This position requires that the candidate selected be a US Citizen and must currently possess an active Top Secret security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements.A day in the lifeOn a "typical" day, our engineers may dive deep to find the root cause of a customer issue, investigate why a metric is trending in the wrong direction, or discuss radical new approaches to automate operational processes. As a member of our team you will join a dedicated group of engineers who provide troubleshooting and operations support, and innovate to automate operational tasks.About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- Current, active US Government Security Clearance of Top Secret or above.- 3 years of industry experience- Bachelor's degree in Computer Science or related field, or 5 years of equivalent experience- Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner) ...

If you are excited about applying your science and engineering skills in business problems in the space of risk measurement, quantification, and mitigation, we invite you to consider this Applied Scientist opportunity within Amazon B2B Payment and Lending (ABPL).ABPL is seeking an Applied Scientist who combines their scientific and technical expertise with business intuition to build flexible, performant, and global solutions for complex financial and risk problems. You will develop and deploy production models to enhance our product features & processes that will delight our customers.Key job responsibilities- Apply advanced machine learning, deep learning and other analytical/scientific techniques to enable and improve Credit Management decisions- Source and assess various structured and unstructured data and leverage automated modeling framework to streamline data evaluation and integration- Spearhead leader to research and adopt State-of-the-Art AI/ML techniques and define the roadmap to revolutionize underwriting models leveraging adaptive modelling methods, Large Language Models(LLM), etc.- Bar-raising the design and implementation of production model pipelines(real time and batch) , lead design and code reviews to insist on high bar of engineering excellence and ensure high performance of the models- Collaborate effectively with Credit Strategy, Operations, Product, data and engineering teams. You will be advising and educating the leadership and stakeholders of the models and strategic decision making.- Understand business and product strategies, goals and objectives. Make recommendations for new techniques/strategies to improve customer outcomes.A day in the lifeAs an Applied Scientist, you will design and build systems that support financial products. You will work closely with business partners, software and data engineers to build and deploy scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within Amazon.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building machine learning models or developing algorithms for business application experience- Experience in solving business problems through machine learning, data mining and statistical algorithms- Experience programming in Java, C++, Python or related language- Experience in patents or publications at top-tier peer-reviewed conferences or journals ...

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 ...

Amazon Selling Partner Recruitment and Success is seeking a dynamic and motivated Account Representative for our Direct Sales new business development team. The Account Representative will be responsible for recruiting and launching new brands within the Softlines, Hardlines, Seller Growth, BBA or Consumables category. Key job responsibilitiesThis person will be the primary point of contact for those companies throughout the entire sales process. The Account Representative will be chartered with developing and managing a sales pipeline mix of both high value and transactional accounts while executing sales strategies to secure deals that will exceed aggressive account acquisition and output goals. Specifically, this individual will be responsible for identifying and building relationships with key influencers and decision-makers within the senior management and executive teams of prospective accounts, along with internal stakeholders and cross-functional teams to create and present compelling Amazon solutions that meet and exceed customer requirements.As an organization, Amazon’s North American Seller Services is uniquely highly influential by coordinating across Amazon customers, Amazon category teams and Amazon Sellers. We are a business development organization; we drive growth for over 2MM Amazon Sellers through business intelligence, cross-selling efforts and integrated Account Management. We are successful by focusing on aggressive growth for our Sellers’ businesses.A day in the life - Identify, qualify, acquire and grow seller commitment to Selling on Amazon programs. - Analyze customer data and make recommendations in order to maximize the potential of the assigned territory. Execute successfully on the plan recommended. - Implement and track metrics for recording the success and quality of the sellers in your territory. Use these metrics to guide your work and uncover hidden areas of opportunity. - Manage complex contract negotiations and serve as a liaison to the legal team. - Prospect and close business to achieve quarterly quota targets for both the quantity and quality of sellers recruited. - Understand and utilize the right tools to track all pertinent account information and sales progress as well as forecast and prioritize to achieve quarterly quota goals. - Develop a thorough understanding of the e-commerce and Softlines industry and competitive environment including knowledge of competitive product offerings. - Prioritize and complete additional projects while maintaining current book of business such as mentorship, competitive analysis, and sales analysis. - Prepare and deliver business reviews regarding progress and state of health for the respective territory. - Meet or exceed quarterly revenue targets and operational metrics. - Create and articulate compelling value propositions around the Selling on Amazon product. - Develop a clear understanding of the Selling on Amazon products along with the features and functionalities. - Assist internal partners to drive change, remove roadblocks and close business.About the teamSelling Partner Services (SPS) touches all selling partner brands, from the small business with a great idea, to the large global corporation. Our tools and services support growth and help sellers thrive with Amazon.BASIC QUALIFICATIONS- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience 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 ...