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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 Responsibilities and Job Elements: - 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 ...

AWS Infrastructure Services (AIS) 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.We build the tools that build the cloud, and keep it running! The AWS Accelerator Systems (ACC) team is looking for an experienced Business Intelligence Engineer (BIE) to build innovative insights that influence how work is orchestrated in AWS data centers. Accelerator Systems owns the custom software products that enable safe, secure, and efficient processes for technicians around the world. AWS customer offerings are constantly innovating and evolving. To keep our data centers running at the same velocity, we require high-quality, impactful, data points to guide decision making. As a BIE with ACC, your work will influence what components are built in our software products, and have a direct impact on data center technicians’ day-to-day activities. You will work closely with global process owners, software developers, program managers, and other data specialists across many AWS Infrastructure Services teams. This high velocity environment creates large opportunities for innovation, creativity, and exploring outside the box while engineering data products from beginning to end. We expect our BIEs to enjoy learning new skills, challenging themselves, and sharing their knowledge with teammates. This appetite for learning and innovation is particularly important as we leverage new AI and machine learning models to accelerate our outcomes.A successful BIE for ACC will have strong written and verbal communication skills. They will be confident in handling both detailed conversations with technical teams and contributing to high-level discussions with business leaders. A successful ACC BIE will also be comfortable navigating ambiguity and be willing to jump into something new. They will quickly learn the business area, becoming a subject matter expert on the data, and anticipating long-term data needs. ACC BIEs are required to have strong SQL skills, data modeling experience, the ability to deep dive in unfamiliar data sets, and be comfortable with a basic scripting language.Key job responsibilities- Build and own data artifacts including: data models, ETLs, visualizations, ML models, and simulations on large multidimensional datasets to uncover trends, patterns, and opportunities- Perform analysis of deep dives and models to provide data for the decision making process, including written and verbal presentation of results and recommendations- Work closely with partners and customers to understand programs and business goals. Participate in design and definition of innovative and influential methods of measurement- Work with software development and business teams to design requirements for appropriate capture and storage of key data points needed in metrics and modeling- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation 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.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Amazon is looking for world class scientists to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions across different domains and computation platforms. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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. BASIC QUALIFICATIONS- 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 ...

Advertising's Support Products & Services team is searching for a curious, detail-oriented Business Analyst (BA) to join a multi-faceted Business Intelligence team that serves a broad variety of product, program and engineering stakeholders. Key job responsibilitiesThe BA is ultimately responsible for ensuring their stakeholder teams can make fast and high quality decisions by providing the right data, in the right format, at the right time and in a sustainable way.Specific responsibilities include:• Collaborating with stakeholders to propose and implement new metrics or enhancements• Developing reports and dashboards to provide insights into advertiser support metrics and performance• Conducting root cause analysis on advertiser pain points and service issues• Supporting the rollout of initiatives and technologies, including AI-driven solutions• Assisting with maintenance and operational excellence • Documenting current processes and workflowsAbout the teamThe Support Products & Services (SP&S) team’s mission is to provide the right support and services at the right time to ensure advertisers can effectively grow their business through advertising. For Amazon's 1.8MM self-service advertisers, this includes providing education in their workflows and resolving issues they encounter with excellent contact center support.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

AWS is looking for a Sr. BIE to join the AWS Analytics Engineering (AAE) team. This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more !As a Sr. BIE on this team, you will be responsible for owning end-to-end analytical roadmap for your supported AWS services. You will generate insights that directly drive business growth and influence feature and product enhancements. You will get to work with datasets in one of the world's largest data warehousing environments, giving you opportunity to develop and support your hypotheses with data-driven insights and influence product leadership. You will work closely with business leaders, finance, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. You will be part of an enhanced business intelligence team that goes beyond standard number reporting and drills into the drivers of key business metrics. As you build your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilities- Develop a deep understanding of the business drivers and data landscape for your assigned AWS services.- Deliver in-depth data-driven analysis papers with actionable insights to business leaders.- Design and implement a comprehensive reporting & analytical roadmap to derive key business metrics.- Collaborate with cross-functional teams to identify new dataset to enhance existing analytical capability.- Strong verbal and written communications to share findings with business leaders, finance, and technical teams to influence decision-making and product enhancements.- Mentor junior members to help establish new analytical standards and best practices for the team.A day in the lifeWork/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.About the teamMentorship & 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. 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.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 customers who require specialized security solutions for their cloud services.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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About 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 & 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- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.Key job responsibilitiesAs an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of building machine learning models for business application experience- PhD, or a Master's degree and experience in CS, CE, ML or related field research- Experience programming in Java, C++, Python or related language- 3+ years’ experience with modeling languages and tools like PyTorch / TensorFlow, R, scikit-learn, numpy, scipy, etc- Solid ML background and familiar with standard NLU, NLG, and LLM techniques ...

Revolutionize the Future of AI at the Frontier of Applied ScienceAre you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated..Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.Amazon has positions available for LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on recommendation systems, question answering, deep learning and generative AI.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI.- Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible.- Explore the vast potential of generative AI and its applications across industries.- Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.- Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.- Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learningBASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Large Language Models, NLP, Natural Language Understanding, Generative AI, Transformers, Fine-tuning, Recommendation Systems, Deep Learning, Named Entity Recognition, Statistics, Neural Networks, Question Answering ...

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

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting position in the industry.About our organization: Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for", "Tap to explore", “Customers who bought this item also bought”, and “Frequently bought together” among others. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.You will play a critical role in ideation for the team. We are building the next generation ML systems that powers the biggest shopping engine on earth, and we hope you will join us!Key job responsibilitiesAs an Applied Scientist on the team you will be working on cutting edge ways to help customers find the right products and content on their shopping journey. Our goal is to help customers achieve their objective seamlessly while shopping on Amazon. We are investing in multiple fronts including but not limited to GenerativeAI, LLMs, transformers, sequence models, reinforcement learning. This is an opportunity to come in on Day0 and influence the science roadmap of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive shopping experiences. We will be working on applying cutting edge science and research into production to elevate the customer experience. You will be part of a multidisciplinary team, working on one of the largest scale machine learning systems in the company. You will hone your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists, you will have a unique opportunity to help build infrastructure that accesses petabytes of data to produce and deliver models that deliver state of the art customer experiences. About the teamOur mission is to delight every Amazon customer with a consistent and adaptive personalized shopping experience. We achieve our mission through investments in large scale machine learning, distributed systems and user experience with the purpose of delivering the future of shopping on Amazon. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.We are hiring a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.This role is cross-functional - you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You should be comfortable working in a dynamic, start-up environment, and seek data-driven decision-making. You should have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.Key job responsibilities- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Estimate models, write analyses, and extract insights and provide business recommendations.About the teamWe serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.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 ...

Do you enjoy helping U.S. Intelligence Community and Defense agencies implement innovative cloud computing solutions and solve unique technical problems? Would you like to do this using the latest cloud computing technologies and become a core part of the largest cloud infrastructure on the planet? AWS is seeking a ADC Engineer to own and advance mission critical services in our Amazon Dedicated Clouds (ADC). We are looking for Engineers to work as a team that will deploy AWS Systems Manager (SSM) services to air-gapped regions and support government customers operating in those regions. You'll be part of a truly innovative team in a fast-paced environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, and believe that world class service is critical to customer success. You'll become an expert at platform diagnosis, response, measurement, and automation. You will design and build the operational scalability that sustains the platform's insane growth.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilitiesA successful Engineer joining the team will do much more than write code and triage problems. You will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. You will dive deep into technical issues and work diligently to improve the customer experience. By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. 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.You will be able to take a defined project, break down the work to help define milestones, and feedback mechanisms. You identify when implementations are not highly available or have defects; you investigate systemic patterns. You resolve, mitigate, or escalate operational concerns in a timely mannerAbout the teamAmazon 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.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.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We 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.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- 3+ years of experience operating in a Unix, Linux, or Red Hat environment.- 3+ years of experience implementing automated software testing, scripting, deployment, and performance analysis systems.- Current, active US Government Security Clearance of Top Secret or above. ...

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.BASIC QUALIFICATIONS- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience ...

The Worldwide Amazon Stores organization is looking for an Administrative Assistant who wants to work in a fast-paced, exciting, and growing organization. We are seeking an exceptionally talented, dependable, customer-obsessed, and self-motivated Administrative Assistant to work under the direct supervision of the Executive Assistant to the Vice President of Fulfillment by Amazon Product & Tech. This is a great opportunity to join a stellar administrative team, with a variety of responsibilities for you to grow and further your professional career. The role requires a high degree of organization, attention to detail, ability to handle confidential information, and self-motivation. Must have the ability to communicate well, manage multiple assignments and people simultaneously, and maintain professionalism in dealing with managers and executives. Key job responsibilities• Back up of calendar and support and scheduling needs for leaders on FBA team.• Support logistics and planning for leadership meetings and ownership in managing events.• Manage space planning for office sites.• Coordinate travel and create detailed itineraries.• Complete and file expense reports.• Tracking and helping drive completion of deliverables and following up on open action items.• Special projects as assigned.BASIC QUALIFICATIONS- High school or equivalent- 1+ years of working with computers and Microsoft Office products and applications experience- Work 40 hours/week, and overtime as required- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach- Are 21 years of age or older- Strong organizational, communication, and interpersonal skills- Ability to prioritize and handle multiple assignments at any given time- 1 year+ experience with Executive Level Calendar Management- 1 year+ experience planning, organizing, and supporting large meetings and events ...

The LPE – Technical Solutions team, supporting the Rapid and Rural Logistics (R2L) org, is seeking a truly innovative Business Intelligence Engineer with broad technical skills to help build the infrastructure and tools required to support a new, fast growing business.The ideal candidate will have a passion for automation and clean, streamlined process design. The applicant will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and an aptitude for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical model and intuitive data visualization. In addition, this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities• Perform data extraction, manipulation, and production from database tables• Own the design, development, and maintenance of reports, analyses, dashboards, etc. to drive key business decisions• Create automated tools via VBA and connection to streamline process execution• Create data flows and develop/manage new metrics• Design, implement and validate complex logic using queriesBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

Are you passionate about driving growth and solving real-world logistics challenges? Join our team as an Account Manager II for Amazon Global Logistics, where you'll play a crucial role in expanding our Multi-Channel Distribution (MCD) product. You'll leverage your sales acumen and data-driven approach to identify new opportunities, streamline inefficiencies, and provide exceptional logistics support for our sellers.Key job responsibilities- Recruit and manage a diverse portfolio of Fulfilled by Amazon (FBA) sellers for MCD- Consult with sellers to understand their supply chain needs through solutions-based selling- Develop and execute pipeline management plans to meet or exceed sales targets- Gather and synthesize customer feedback to drive product improvements and innovation- Collaborate with cross-functional teams to align product strategy with business objectivesA day in the lifeAs an Account Manager II, you'll start your day by reviewing your seller portfolio and identifying key opportunities for growth. You'll engage in consultative conversations with sellers, understanding their unique challenges and proposing tailored MCD solutions. Throughout the day, you'll analyze data to inform your strategy, collaborate with the product team on improvements, and prepare for sales review meetings. Your role will be dynamic, requiring you to balance relationship management, strategic thinking, and operational execution.About the teamOur U.S. Account Management Team within Global Logistics is dedicated to scaling our global supply chain program for FBA sellers. Formed in 2020, we work closely with sellers to provide onboarding support, operational insights, and guidance on new and existing logistics products and services. Our mission is to help organizations lower total storage and distribution costs while staying in-stock across channels to increase sales. We're committed to delivering a logistics experience that sellers love and driving continuous innovation in the field.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of experience in sales, account management, or customer-facing roles- 3+ years of program or project management experience.- Proven track record of meeting or exceeding sales targets- Experience with CRM systems and data analysis tools- Strong proficiency in Microsoft Office Suite, particularly Excel ...

This is a Department of Labor Registered Apprenticeship Program.The Amazon Economics organization is seeking highly skilled and motivated individuals to join our 2-year Pre-Doctoral Program. As an Apprentice, you will have the unique opportunity to work alongside full-time Amazon Economists and academic mentors, gaining hands-on experience in cutting-edge economic research. Key Responsibilities:* Collaborate with cross-functional teams to tackle real-world business challenges using advanced economic methodologies and large, complex data sets* Develop proficiency in economic analysis, data management, and statistical programming (Python, R, Stata)* Acquire research skills and experiences to strengthen your PhD program applicationsProgram Benefits:* Mentorship from seasoned Amazon Economists and university professors* Guidance on PhD program prerequisites and admissions coaching* Exposure to fast-paced business research lifecycle, from data collection to decision impactWe are committed to cultivating a diverse and inclusive research community. Individuals from underrepresented backgrounds are strongly encouraged to apply.To apply, please submit a single PDF bundle including: your CV/resume, academic transcripts, and a research writing sample with a personal statement outlining your research interests and career goals.The Apprenticeship Program is based in Seattle, WA.Apprenti will act as the Apprenticeship Intermediary, managing the apprentice employment process, providing pay and benefits to apprentices, maintaining documentation and fulfilling statutory reporting requirements for all apprentices registered in the Apprenti program. Amazon is responsible for providing meaningful work opportunity and providing day-to-day apprentice supervision, from instructor led training to development in on the job learning.BASIC QUALIFICATIONS- Enrolled in the final year of their bachelor’s program or have recently obtained their bachelor’s degree.- Graduate education (M.A./M.S.) and prior work experience is considered in the application process but not required.. ...

The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Computer Vision, Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. With your expertise will be key in shaping data-driven strategies and addressing complex data challenges. With expertise in AI, text analysis, and embedding, language modeling, and generation, you'll design and develop scalable AI-powered technology solutions, prioritize initiatives, drive data-driven insights, and deliver business impact. This position will advance applied science best practices, leverage data and AI to drive customer experience (CX) improvements, and set new global standards for customer experience. This role requires working with a cross-functional team including scientists, engineers, and product management to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technological skills in ML, NLP, and GenAI, excellent written documentation skills, and experience with big data technologies.You should care deeply about customers and stive to deliver customer value through applied science. You should work well in a fast-paced setting, using your skills to create effective solutions. With a combination of deep business know-how and hands-on skills, you will tackle complex challenges and drive continuous improvement.Key job responsibilities- Develop innovative solutions to complex problems (e.g., extending the functionalities of conversational assistants ).- Apply technical expertise to implement novel algorithms and modeling solutions, in collaboration with other scientists and engineers.- Analyze data and define metrics to identify actionable insights and measure improvements in customer experience.- Communicate results and insights to both technical and non-technical audiences through written reports, presentations, and both internal/external publications.- Collaborate with product management and engineering teams to integrate and optimize models in production systems.Come join a team of bright, passionate, and customer-obsessed individuals who are having fun and making history. We would love to talk to you!A day in the lifeA typical day for an Applied Scientist in the Customer Service's Data and AI team involves a combination of gaining business know-how with hands-on problem-solving in NLP and GenAI. You'll tackle complex data initiatives, ensuring alignment with customer needs and business objectives, and translate business requirements into practical AI-driven solutions. Collaborating with cross-functional teams, you'll design and enhance AI models, focusing on efficiency, precision, and scalability. Your day will involve ensuring data quality, model performance, and generating actionable insights from vast amounts of information. By the end of the day, you will have typically resolved complex technical issues, advanced important AI projects, and conceived new ideas to improve how Amazon utilizes data to transform the customer experience.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!Benefits Summary: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 Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence Generative AI (GenAI), Computer Vision, Machine Learning, Ontologies, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- Master's degree in computer science, machine learning, engineering, or related fields ...

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 be-tween 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.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).- Experience with data visualization using Tableau, Quicksight, or similar tools.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

Note: By applying to this position, your application will be considered for: Arlington, VA; and Seattle, WA.Are you a developer who has hands-on experience with building cloud-native applications? Would you like to work with our customers to help them architect, develop and re-engineer applications to fully leverage the AWS Cloud? Do you like to work on a variety of cutting edge, business-critical projects at the forefront of application development and cloud technology adoption?In order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications.You will join as part of the AWS Professional Services (ProServe Associate to Consultant (A2C), which focuses on the accelerated career development of university graduates and early career professionals. Our team members work with enterprise customers locally, regionally and domestically. As such, this role has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract.Key job responsibilitiesIn order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications. Amazon Web Services is looking for highly talented hands-on technical developer to help accelerate our growing Professional Services business. This is an excellent opportunity to join Amazon’s world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies. We are looking for hands-on architects/developers who are passionate about:* Helping customers architect scalable, highly available application solutions that leverage AWS services* Architecting and developing customer applications to be cloud optimized* Working as a technical specialist alongside customer business, development and infrastructure teams* Providing deep software development knowledge with respect cloud architecture, design patterns and programming* Advising and implementing AWS best practices* Working as both an infrastructure and application development specialist* Implementing DevOps practices such as infrastructure as code, continuous integration and automated deploymentAbout the teamAWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.You will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams. Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS* Bachelor’s degree or higher in Computer Science, Engineering, Mathematics or a related field with a conferral date within May 2023 to May 2025 * 1+ years of hands-on experience of programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++, Node.js, or similar object-oriented language. ...

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. This role is for the AFT AI team which has deep expertise developing state-of-the-art AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.We are looking for an Applied Scientist who is a ML generalist who can build models with a variety of signals such as text, event sequences, images and a mixture of the above. You will work alongside other data scientists, applied scientists, engineers, product managers and various stakeholders to deploy ML models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying machine learning for real world problems - this is the team for you. Key job responsibilities- You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams.- You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.- You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. - You will design and implement scalable solutions and solve complex problems- You will mentor and coach junior software developers- You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment- You should be a self-starter with a bias towards independent problem solving.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing state-of-the-art AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- 1+ years of building models for business application experience ...