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Are you excited to drive high-visibility, long term Supply Chain and Transportation plans to help Amazon meet future operational and analytics needs? Looking for a motivated individual with strong analytical skills, supply chain and transportation knowledge, and technology experience to join our Supply Chain Execution Planning and Analytics team as a Business Intel Engineer (BIE). This position partners with several functional groups such as supply chain optimization, fulfillment technology, sales and operations, transportation, and several other key stakeholders throughout the process. As a BIE, you will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility/high impact areas in the organization.Key job responsibilities - Use analytical and statistical rigor to solve complex problems and drive business decisions - Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX) - Develop deep-dive tools, UIs, metrics, and dashboards - Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance. This will require data gathering and manipulation, synthesis and modeling, running simulations, problem solving, and communication of insights and recommendations.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- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

As we continue to expand our ability to provide extraordinary, human-centered primary care services across the country, the teams that support the providers and frontline teams are growing as well. We are seeking to hire an Access & Capacity Planning Manager responsible for partnering with operational and clinical leaders to ensure our members receive best-in-class access to care across all of our markets and service lines. Reporting to the Senior Manager of Strategic Operations, you will build and automate capacity plans that support our teams through rapid growth and change. Specifically, you will drive projects that address patient access, capacity planning, strategic forecasting, and workforce planning. You are an analytical problem-solver with an eye for detail, who can also effectively communicate how those details fit into the bigger picture to team members across the organization. Driven by continuous improvement, you love identifying creative solutions to complex problems, and have demonstrated persistence in accomplishing objectives regardless of circumstance. Experience integrating quantitative and qualitative information to draw accurate solutions will be important to your success. Naturally at ease with cross-functional partners, you are able to work collaboratively across multiple teams, and are comfortable with shifting priorities, styles, and work environments in an exciting, evolving role. If you are passionate about solving problems related to access and capacity planning, have stellar project and program management skills, and want to make a tangible impact on how we deliver care to our patients, we would love to hear from you!Key job responsibilitiesManage Nationwide Clinic Capacity- Develop and manage operational capacity models for short and mid-term planning. Create plans and tools to enable operations to identify and manage dependencies and risks. Seek opportunities to evolve toward automation.- Empower senior operations leaders to make informed decisions about their workforce, capacity, deployment, hiring and schedule design to accurately support patient demand.- Drive and Monitor Cost of Care Initiatives while partnering and aligning with Financial Planning. - Develop tools to track initiatives, dependencies and mitigation plans to increase capacity, demand and decrease cost of care.Manage Access SLAs- Support local leaders in optimizing staffing plans and deployment to meet service line standards (SLAs), panel management models and patient demand- Drive operational strategies, including pilots, utilize experimentation as necessaryIdentify & Drive Demand Opportunities- Support long-term growth by collaborating with corporate, clinical and tech teams, prioritizing and driving thought leadership around Access.- Develop demand forecasting model in coordination with growth, financial and data science teamsProduct Innovation- Hands on work with data scientists and analysts to automate capacity and demand planning and forecasting models.- Identity opportunities to integrate and automate features of demand and capacity processes into core systems.BASIC QUALIFICATIONS- 5+ years of direct experience in quantitative research or analysis- 3+ years in workforce planning, capacity management, supply chain or related fields- 3+ years in program & project management- 3+ years building forecasting and/or planning models in excel or other more advanced tools- Background in mathematics, statistics, computer science, engineering, economics, operations research or related field- Working fluency in SQL- Familiarity with other scientific and scripting - languages such as Python or R and familiarity with technical systems to deploy production models- Experience translating key performance indicators and recommendations to senior leaders- Strong commitment to exceptional customer experience, and a high level of dedication, enthusiasm, motivation, and persuasive ability in a team and cross-functional environment ...

Amazon’s maps play a crucial role in our vehicle navigation, routing, and planning problems to ensure fast and safe deliveries to our customers. As part of the Last Mile Geospatial Science organization, you’ll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting problem area to augment the maps and routing inputs from satellite/aerial imagery and street videos by leveraging the latest computer vision and deep learning techniques.Key job responsibilitiesSuccessful candidates should have a deep knowledge (both theoretical and practical) of various machine learning algorithms for large scale computer vision problems, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems. The applied scientist should be proficient with image and video analysis using machine learning, including designing architecture from scratch, modify existing loss functions, full model training, fine-tuning, and evaluating the latest deep learning models. The Applied Scientist optimizes different models for specific platforms, including edge devices with restricted resources. Multi-modal models, e.g., Large Vision Language Models (LVLM), zero-shot, few-shot, and semi-supervised learning paradigms are used extensively.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) PlanBASIC QUALIFICATIONS- 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation 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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms ...

Seller Partner Services (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.The Localization & Language Expansion Team (LELI) develops high-quality, user-centered content for the companies and individuals who sell goods and services through Amazon, and for the team that helps sellers when they contact Seller Support.The team's goal is to deliver/localize content that provides Selling Partners and Customers a direct path between an issue and it’s resolution, by providing timely and helpful documentation in 27 languages across 19 stores.The team is looking for a talented, driven, self-directed Business Analyst to join an organization that is responsible for the success of implementation of content management programs. This person will be responsible for ensuring we meet our key deliverables, on time with high quality, and communicating status to internal and external stakeholders. This person will also help provide the analytics and insights to improve the process for building our tools on a global scale. This Business Analyst must have advanced proficiency in SQL, statistical analysis and Excel (including Pivot Tables, dynamic dashboards, array functions, Power Pivots, VBA, etc.) and can build instrumented dashboards for impact analysis and reporting.Also has program management skills to work closely with the Product Managers, process engineering, Operations and Customer Excellence teams on process improvement initiatives, root cause analysis and A/B testing. Successful candidates will have a strong analytical skills, program management background, be detail oriented, and have excellent problem solving abilities. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally.Key job responsibilitiesThis role is requiring an individual who thinks big and will build reporting capability for Localization and Language Expansion analytics. The ideal candidate for this role will should be:Able to proactively identify problems with significant business impact; facilitate analysis to identify problems and opportunities.Work with team leadership to understand the customer needs and concerns as well as define solutions.Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.Use analytical and statistical rigor to solve complex problems and drive business decisions.Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.Monitor and troubleshoot operational or data issues in the data pipelines.Review and audit existing ETL jobs and SQL queries.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- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

It’s no secret that Amazon relies on technology to deliver compensation solutions to its customers. The On-Step Associate Compen$ation and Investment Strategy Team (OA$IS) builds complex compensation models that work across our business lines, globally. Our services support hundreds of thousands of associate pay records, and help our leaders make informed business decisions impacting billions of dollars a year in compensation. This remains a fast growing support function, and our technical journey has only begun. Our mission is to build the most efficient and optimal compensation recommendation engine, using our science and engineering muscle as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques. To accomplish this, the On-Step Associate Compen$ation and Investment Strategy Team (OA$IS) seeks a talented Business Analyst who will own analytics and develop business requirements and solutions to drive compensation insights and investment optimization for our hourly associates on a step plan. As a member of this team, you will have an opportunity to be a thought leader in Step Plan Compensation by working with a group of talented Data Scientists, Business Intelligence Engineers, Economists, product managers, consultants, and business leaders to design the Amazon compensation structure of the future.This position requires superior analytical thinking, ability to quickly approach large ambiguous problems and apply analytics, technical, and engineering expertise to rapidly analyze, validate, visualize, prototype and deliver data driven recommendations. This position also requires significant cross functional activity and integration with Compensation, PXT, PXT Central Science, Operations, and Finance. Successful candidates must thrive in a fast paced environment.Responsibilities:- Perform complex analysis and data research to identify opportunities to reduce transportation costs through efficiency improvements, eliminate defect, improve customer experience, and support critical business decisions.- Design, develop, and establish KPIs and run complex network simulations to provide strategic insights to drive growth and performance.- Systematically identify data source/forecast error and follow through on the resolutions to ensure that future plans are updated with improved business processes.- Requires ability to perform/own reoccurring and ad-hoc business intelligence projects.- Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting.- Pull and report data from numerous databases (using Excel, SQL and/or other data management systems) and proven capability to dive deep and utilize known research and problem solving techniques.- Communicate complex insights to stakeholders, both verbally and in writing.BASIC QUALIFICATIONS- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

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 ...

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.Key job responsibilities- Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;- Effectively communicate technical and non-technical ideas with teammates and stakeholders;- Stay up-to-date with advancements and the latest modeling techniques in the field;- Publish your research findings in top conferences and journals.About the teamPrime Video Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production.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 programming in Java, C++, Python or related language ...

Are you motivated to explore research in ambiguous spaces? Are you interested in conducting research that will improve associate, employee and manager experiences at Amazon? Do you want to work on an interdisciplinary team of scientists that collaborate rather than compete? Join us at PXT Central Science!The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.Key job responsibilitiesAs an Applied Scientist for People Experience and Technology (PXT) Central Science, you will be working with our science and engineering teams, specifically on re-imagining Generative AI Applications and Generative AI Infrastructure for HR. Applying Generative AI to HR has unique challenges such as privacy, fairness, and seamlessly integrating Enterprise Knowledge and World Knowledge and knowing which to use when. In addition, the team works on some of Amazon’s most strategic technical investments in the people space and support Amazon’s efforts to be Earth’s Best Employer. In this role you will have a significant impact on 1.5 million Amazonians and the communities Amazon serves and ample scope to demonstrate scientific thought leadership and scientific impact in addition to business impact.You will also play a critical role in the organization's business planning, work closely with senior leaders to develop goals and resource requirements, influence our long-term technical and business strategy, and help hire and develop science and engineering talent. You will also provide support to business partners, helping them use the best scientific methods and science-driven tools to solve current and upcoming challenges and deliver efficiency gains in a changing markeAbout the teamThe AI/ML team in PXTCS is working on building Generative AI solutions to reimagine Corp employee and Ops associate experience. Examples of state-of-the-art solutions are Coaching for Amazon employees (available on AZA) and reinventing Employee Recruiting and Employee Listening.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 ...

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.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. ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Come work on the Amazon Prime Air Team!Our Prime Air Drone Vehicle Design and Test team within Flight Sciences is seeking an outstanding Aerodynamic Test & Evaluation Engineer who combines hands-on technical skills with test planning and coordination experience. This person will own our wind tunnel testing system and process and have opportunities to also own flight test instrumentation and support our acoustic testing systems. This person must be comfortable supporting a team of design engineers and scientists in a fast-paced, inter-disciplinary testing environment. We are looking for someone who is ready for diverse challenges; with a willingness to adapt to obstacles and an attention to detail. You will work hard, have fun, and of course, make history!Key job responsibilities- Plan, develop, and execute wind tunnel tests for full vehicle, propellers, and other test articles- Fabricate and assemble wind tunnel model components and wind tunnel test fixtures and control systems- Lead the integration and testing of new test articles and fixtures- Build wiring harnesses for power electronics and test instrumentation- Run diagnostics on power electronics and test instrumentation- Complete calibrations with test instrumentation (load cells, pressure transducers, and other)- Develop standard operating procedures and instructions for experiments- Coordinate transportation of test equipment to and from testing locationsAbout the teamOur Flight Sciences Vehicle Design & Test organization includes teams that span the following disciplines: Aerodynamics, Performance, Stability & Control, Configuration & Spatial Integration, Loads, Structures, Mass Properties, Multi-disciplinary Optimization (MDO), Wind Tunnel Testing, Noise Testing, Flight Test Instrumentation, and Rapid Prototyping. BASIC QUALIFICATIONS- Bachelors Degree in aerospace engineering, mechanical engineering, electrical engineering, and 3+ years experience or equivalent- Hands-on experience designing, building, or operating aerodynamic test systems- Experience with wind tunnel testing and instrumentation- Experience designing and building mechanical and electrical systems, test models, and test fixtures ...

The Postdoc for this role will research safety and efficiency aspects of generative AI for industries. From the safety perspective, the postdoc will research and present (internally and externally) a novel contribution to hallucination reduction, model/data/prompt safety or privacy-preserving training or fine-tuning methods with direct applications in one of our core industry segments. From the efficiency perspective, the postdoc will research and present a novel contribution to training, fine-tuning or operationalization methods that reduce cost, memory or carbon footprint of foundation models with a demonstration of its application in one of our core industry segments.Key job responsibilitiesThis is a unique opportunity for a Postdoc to spearhead the effort to address safety and efficiency challenges behind adopting generative AI for Amazon's funded and ongoing industry product initiatives. This research will feed directly into Amazon's generative AI product strategies and features with industry customers and AIP segments.About the teamThe AWS Industry Products (AIP) team directly collaborates with strategic customers to build new, industry-specific products that directly impact and transform industries at AWS scale. We are a team of innovators that tackle difficult problems, and build products through fast iteration in a start-up like environment. AIP SCIFI team was formed to empower our customers to make better data-driven decisions by leveraging data science techniques such as ML and optimization.BASIC QUALIFICATIONSBasic qualifications include: - PhD in a relevant field, received within 2 years of starting the program- Proven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields- Experience in data science and quantitative research- Proficiency in technologies relevant to the subfield ...

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) ...

We’re pioneering the development of a cutting-edge Seller Foundation Model designed to capture seller interactions, predict future behaviors, and simulate responses across varied conditions. Our goal is to enhance support for our diverse seller community and foster improved outcomes for both sellers and the broader Amazon ecosystem. We are looking for passionate innovators who are excited about technology, driven by customer experience, and eager to make a lasting impact on the industry.In this role, you'll collaborate with top-tier scientists, engineers, and technical program managers (TPMs) to drive innovation and deliver exceptional results for our customers. You will lead the effort to leverage Amazon's large-scale computing resources to accelerate advances in machine learning and foundation models. If you’re enthusiastic about joining a dynamic and motivated team, this is your chance to be part of an exciting journey. Apply now and help us shape the future of seller support at Amazon!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- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues.As an Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences.Key job responsibilities- Develop ML/GenAI-powered solutions for automating defect elimination workflows- Implement scalable and efficient scientific solutions in production environments- Design and implement robust metrics to evaluate the effectiveness of ML/AI models- Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationA 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:- Medical, Dental, and Vision Coverage- Maternity and Parental Leave Options- Paid Time Off (PTO)- 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 applyBASIC QUALIFICATIONS- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field- 3+ years of building deep learning or machine learning models for business application experience- Deep knowledge in one or more areas of machine learning or deep learning- Experience programming in Java, Python or related language ...

Do you enjoy solving challenging problems and driving innovations in research? Are you seeking for an environment with a group of motivated and talented scientists like yourself? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? Do you want to play a key role in the future of Amazon transportation and operations? Come and join us at Amazon's Modeling and Optimization team (MOP).Key job responsibilitiesAn Applied Scientist in the Modeling and Optimization (MOP) team - provides analytical decision support to Amazon planning teams via applying advanced mathematical and statistical techniques.- collaborates effectively with Amazon internal business customers, and is their trusted partner- is proactive and autonomous in discovering and resolving business pain-points within a given scope- is able to identify a suitable level of sophistication in resolving the different business needs- is confident in leveraging existing solutions to new problems where appropriate and is independent in designing and implementing new solutions where needed- is aware of the limitations of their proposed solutions and is proactive in communicating them to the business, and advances the application of sciences towards Amazon business problems by bringing new methods, ideas, and practices to the team and scientific community.A day in the life- Your will be developing model-based optimization, simulation, and/or predictive tools to identify and evaluate opportunities to improve customer experience, network speed, cost, and efficiency of capital investment.- You will quantify the improvements resulting from the application of these tools and you will evaluate the trade-offs between potentially competing objectives. - You will develop good communication skills and ability to speak at a level appropriate for the audience, will collaborate effectively with fellow scientists, software development engineers, and product managers, and will deliver business value in a close partnership with many stakeholders from operations, finance, IT, and business leadership.About the team- At the Modeling and Optimization (MOP) team, we use mathematical optimization, algorithm design, statistics, and machine learning to improve decision-making capabilities across WW Operations and Amazon Logistics.- We focus on transportation topology, labor and resource planning for fulfillment facilities, routing science, visualization research, data science and development, and process optimization.- We create models to simulate, optimize, and control the fulfillment network with the objective of reducing cost while improving speed and reliability.- We support multiple business lanes, therefore maintain a comprehensive and objective view, coordinating solutions across organizational lines where possible.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Our mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We develop cutting-edge Large Language Models (LLMs) that leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.We seek a talented Applied Scientist with expertise in LLMs, speech, audio, NLP, or multimodal learning to pioneer innovations in data simulation, representation, model pre-training/fine-tuning, generation, reasoning, retrieval, and evaluation. The ideal candidate will build scalable solutions for a variety of applications, such as streaming real-time conversational experiences, including multilingual support, talking avatar interactions, customizable personalities, and conversational turn-taking. With a passion for pushing boundaries and rapid experimentation, you'll deliver high-impact solutions from research to customer-facing products and services.Key job responsibilitiesAs an Applied Scientist, you'll leverage your expertise to research novel algorithms and modeling techniques to develop data simulation approaches mimicking real-world interactions with a focus on the speech modality. You'll acquire and curate large, diverse datasets while ensuring privacy, creating robust evaluation metrics and test sets to comprehensively assess LLM performance. Integrating human-in-the-loop feedback, you'll iterate on data selection, sampling, and enhancement techniques to improve the core model performance. Your innovations in data representation, model pre-training/fine-tuning on simulated and real-world datasets, and responsible AI practices will directly impact customers through new AI products and services.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Do you have a passion for data? Are you matriculating in a Master’s or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.For more information on the Amazon Science community please visit https://www.amazon.scienceBASIC QUALIFICATIONS- 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 with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)- Experience in data science, machine learning or data mining- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data- Must be actively enrolled in a Master's or PhD program ...

Come be a part of a rapidly expanding $35 billion global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination, and a healthy disregard for the impossible.We are disrupting the status quo of Business to Business (B2B) by delivering new, efficient purchasing and service solutions to individual proprietors, to small-medium businesses, to global organizations (and everything in between). Are you ready for the next step in your career building on your skills as a leader, innovator, and collaborator? Do you want to be part of an organization that is developing and launching new business models?If so, the AB Third Party (AB3P) team is seeking an exceptional Business Development Manager to drive expansion of our Go-to-Market (GTM) efforts for strategic B2B selection, and influence partner team product roadmaps. In this role, you will work closely with Product Teams, Account Managers, and sellers. Your objective will be to define the right customer experience, solve ambiguous problems, and lead complex deal-based negotiations. Additionally, you will contribute to mechanisms to scale our GTM to the broader Sales Team, own strategic programs, and translate business customer expectations into seller and tool requirements.The ideal candidate is a self-starter who is comfortable building a business, is metrics and data driven, has a desire to learn and lead in a fast-paced environment. You are able to think strategically, look at the business analytically, and implement flawlessly. As a leader, the right candidate will be comfortable with executive interactions, passionate advocate, and creative professional. You will build and inspire a positive, high-energy, results-oriented culture in our team, creating a measurable impact across Amazon Business.Key job responsibilities• Engage with strategic sellers, AB Account Reps, and AB Sales Leaders to execute deal-based negotiations for strategic selection.• Engage with sellers to drive new feature adoption through data led insights and collect voice of seller feedback.• Manage a strategic book of business and deals through ongoing engagement.• Own strategic program as part of GTM.• Manage projects in a timely fashion for multiple deliverables on competing timelines.BASIC QUALIFICATIONS- Experience with business development, partnership management, or sourcing new business- Experience structuring and negotiating complex agreements and leading cross-functional groups to orchestrate and successfully complete deals- Experience with sales CRM tools such as Salesforce or similar software- Experience in setting up and managing a sales pipeline- 6+ years of professional or military experience ...

Interested in helping build Prime's content and offer experimentation system to drive huge business impact on millions of customers? Join our team of Scientists and Engineers developing algorithms to adaptively generate and experiment on new content, personalize, and optimize the customer experience with Amazon Prime. This includes identifying who our customers are and providing them with personalized relevant content. As an ML lead, 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 adaptive experimentation, structured multi-armed bandits and its application to various types of experimentation and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from LLM's, Gen AI, deep learning, multi-armed bandits, optimization, and RL.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, LLM's), 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 and Reinforcement Learning for Experimentation 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- 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 ...

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. ...