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Applied Scientist, AGI Personalization

The Amazon Artificial General Intelligence (AGI) Personalization team is looking for a passionate, highly skilled and inventive Applied Scientist with strong machine learning background to build state-of-the-art ML systems for personalizing large-scale, high-quality conversational assistant systems. As a Applied Scientist, you will play a critical role in driving the development of personalization techniques enabling conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graph, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences.Key job responsibilities- Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals- Innovate new methods for contextual knowledge extraction and information retrieval, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, compute, latency and quality- Research in advanced customer understanding and behavior modeling techniques- Collaborate with cross-functional teams of scientists, engineers, and product managers to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification- Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results- Think Big on conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reportsAbout the teamThe AGI Personalization org uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal context and relevance to customer interactions.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon Robotics Senior Electrical Engineer, Amazon Robotics

Working at Amazon Robotics Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Job Overview – Amazon is seeking a talented and motivated Electrical Engineer to work on system design, implementation and release to manufacturing. The ideal candidate will have extensive experience in system design, complex analog and digital circuit design, possess good communication skills, have the ability to own a large component of a system and lead a team of Electrical Engineers. This candidate must have the ability to work well both independently and in team settings. This position reports directly to the Electrical Engineering Manager. Key job responsibilities• Working with an interdisciplinary team to execute product designs from concept to production including design, prototyping, validation, testing and certification• Leading and supporting a technical team on multiple projects in parallel• Coordinate all activities within the engineering discipline for the project.• Ensure coordination with other disciplines is effective for each project.• Thorough understanding of technical principles and concepts in Electrical Engineering• Writing and developing functional specifications, design verification plans and test procedures• Architecting, designing and implementing complex embedded system, analog and digital circuit design and systems debugging• Supporting product releases to manufacturing and customer deployments• Execute tasks to aggressive schedules• Establish development processes to meet industry standards for functionally safe control systems (IEC 61508).A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision 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!BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test procedures- BS / MS Electrical Engineering (or similar field).- -10+ years of experience in electrical, firmware and system level design.- Ability to lead a technical team or team of electrical engineers.- Expert in schematic entry, layout tools and design for manufacturability (familiarity with OrCAD Capture and Cadence Allegro tool flow is a plus).- Experience designing high volume printed circuit boards with design-for-cost targets.- Experience designing complex schematics containing analog and digital electronics including boards with FPGA’s, microcontrollers or microprocessors.- Experience with mixed signal designs.- Experience with serial communication interfaces (CAN, SPI, Ethernet, USB, etc.).- Proficient with PSPICE for analog circuit simulation.- Experience executing design reviews in front of interdisciplinary teams.- Familiar with PCB layout design and best practices.- Comfortable debugging existing designs.- Demonstrated strong ability to move seamlessly between levels of abstraction – from system to the “nuts and bolts” implementation.- Extensive system design interfacing to a wide array of electro-mechanical subsystems and debugging experience.- Commitment to rigorous testing practices and design process flows. ...

Applied Scientist - Safety ML

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the RoleWe are looking for applied scientists to solve challenging and open-ended problems in the domain of user and content safety. As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. You will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.You will report to our Senior Applied Science Manager. This position is located in San Francisco, CA.You Will-Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.-Work backwards from customer problems to develop the right solution for the job, whether a classical ML model or a state-of-the-art one.-Collaborate with Community Health's engineering and product management team to productionize your models into flexible data pipelines and ML-based services.-Continue to learn and experiment with new techniques in ML, software engineering, or safety so that we can better help communities on Twitch grow and stay safe.Perks- Medical, Dental, Vision & Disability Insurance- 401(k)- Maternity & Parental Leave- Flexible PTO- Amazon Employee DiscountBASIC QUALIFICATIONS- 2+ years of hands-on industry experience building models for NLP, deep learning, bot detection, anomaly detection or in another practical ML domain.- 2+ years experience writing high quality code to ship those models in production systems.- PhD / MSc Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or similar quantitative field OR equivalent hands on experience.- Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.). Familiarity with operating in AWS or similar cloud-computing services. ...

Applied Scientist II, Amazon One

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI algorithms and designs using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Do you want to build a foundation for your career after your Master's or Ph.D program at an industry-leading company? You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.Amazon One under AWS provides innovative biometric identity solutions for customers, offering seamless, contactless palm-based authentication with the same on-demand scalability, reliability, and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We're seeking an Applied Scientist with the ability to apply generative AI and other machine learning techniques to conceptualize, promote, and execute cutting-edge solutions for previously unsolved challenges. As an Applied Scientist at Amazon One, you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products. About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 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 ...

Applied Scientist, Amazon

Amazon Search is looking for an Applied Scientist to build the next-generation Autocomplete and Spelling Correction experience. Autocomplete provides real-time suggestions as customers type in the search box. It serves as a virtual assistant on customer’s shopping journey. Our suggestions complete customers’ thoughts and help them to explore Amazon’s vast product offering. Spelling correction recovers the spelling errors in the queries, allowing customers to search effortlessly in any language they prefer, without worrying about making spelling mistakes. You will have the opportunities to leverage the latest developments in Natural Language Processing, Deep Learning, and Reinforcement Learning to re-invent customers’ shopping experience. Your work will touch the life of hundreds of millions customers and deliver billion-dollar business impact.You will love the job if you enjoy brining the cutting-edge research to people’s (and yours) day-to-day life. It’s a great feeling to realize the model you deployed yesterday has helped your shopping journey today. You will work closely with scientists and engineers to do fast-pace model development and experiment iterations. You will have access to Amazon’s rich datasets, AWS’s massive computation power, and science and engineering leaders across the company.As an applied scientist, you willDrive the science vision and roadmap.Develop data-driven solutions for the real-world, large scale problems.Deliver and maintain software and models in the production environment.Lead cross-functional collaborations between product, design, and engineering.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 ...

ADCE Associate, Region Reliability

The AWS Intelligence Initiative program is hiring cleared builders for a unique opportunity to work with some of the best and brightest engineers and technical leaders. Builders undergo an intensive 3-6 month training and development program to learn about operational culture, enhance their technical skills through a hands-on job path curriculum, to obtain a holistic view of our technology, dedicated mentorship, and support from our program’s alumni. We are seeking highly motivated builders who are focused on learning operational excellence and troubleshooting complex system operations, interested in building an understanding of Linux, networking and general knowledge of cloud services. Upon graduation from our program, builders grow into engineering roles as part of the AWS Region Reliability organization. Region Reliability is the cornerstone of continuous engineering improvement by driving efficiencies across AWS through innovation, automation, and operational excellence. This new organization was created to drive consistency in operational practices across AWS, reducing duplicative efforts and refining and accelerating operational excellence and best practices for AWS Amazon Dedicated Cloud Regions to provide a simpler experience for our customers and AWS Builders.In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You are learning to execute on well defined technical implementations following a Standard Operating Process and learning from more experienced builders around you. You will build a general understanding of operational risks and learn how to avoid taking unnecessary risks. After gaining technical experience you may begin to identify operational concerns and resolve or escalate concerns in a timely manner.This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success. You will become an AWS Services platform diagnosis, response, measurement, and automation expert. You will support and simplify the operational scalability that sustains the platform's insane growth. You will measure your success and it will be visible.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.10012Key job responsibilitiesThis position is perfect for you if you:- Would like to gain a deeper understanding of AWS service teams, capabilities, and functionality.- Regularly seek simple ways to approach complex issue or processes.You will have the opportunity to:- Explore the inner workings of AWS and how its services communicate.- Engage other AWS engineers world-wide to deploy, configure, and troubleshoot 150+ services.- Express your creative, innovative ideas to make our team even more awesome!- Provide invaluable support to the U.S. Intelligence Community.A day in the lifeAs an ADCE Associate, you will be learning how to play a crucial role in ensuring the smooth and efficient operation of our AWS infrastructure. Your primary responsibility will be to execute a defined set of operational tasks on a schedule, and learning how to identify any ineffective processes or technical implementations that may be hindering performance, availability, or maintainability. You will learn how to understand operational risks and avoid taking unnecessary risks. You will work with more senior engineers that identify operational concerns, and gain familiarity with how teams are responsible for resolving, mitigating, or escalating them in a timely manner. Supporting mission critical workloads involve being present in a Remote Managed Facility (RMF) 5 days a week to execute on your assigned tasks. Over time you will gain the ability to execute on narrow, well-defined workflow processes and become familiar with the application of available tooling. An ADCE Associate will learn to resolve most straightforward blockers by leveraging existing runbooks, and effectively communicate any issues that may arise to peers and leaders. On this team, you may also learn how to identify the root cause of issues and ways of how to provide feedback to workflow owners. You will grow into understanding strong operational and troubleshooting skills, as well as the ability to work independently on defined tasks and collaborate effectively with cross-functional teams.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 QUALIFICATIONSExperience troubleshooting and debugging technical systems1+ year/s work experience requiring a security clearanceCurrent, active US Government Security Clearance of TS/SCI with Polygraph ...

Applied Scientist , Amazon

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You’ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

ADC Windows Systems Engineer, Region Services Corporate Infrastructure (RSCI) - Vector

Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.Region Services Corporate Infrastructure (RSCI) is looking for an experienced Windows Systems Engineer with a deep knowledge of Windows Active Directory and desktop services, including virtual desktops and infrastructure. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with full-scope polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.10012Key job responsibilities- Manage/Operate and Maintain Active Directory and component systems (DNS, DHCP, NPS, Exchange)- Security compliance to include hardening the OS and desktop applications.- Manage metrics and monitoring services.- Creates and updates system documentation for engineering, operations, and support teams.A day in the lifeOur mission is to deliver robust, highly available, and easy to use services to our internal customers in support of the Amazon Dedicated Cloud for U.S. Government customers. We are looking for a motivated engineer to deliver results for our customers. This is a hands-on position where your daily role will maintain and enhance existing services, including Windows build / deployment capabilities, fulfilling requests for application packaging / deployment and break / fix scenarios for all technologies the team manages. This role will work closely with the Security Compliance team to ensure security compliance with all desktop environments.You will have a strong and diverse technical background that allows you to approach problems with confidence and ingenuity. You must be a “lifelong learner”, embracing the rapid innovations in technology and understanding how to leverage them to continue to improve our products. A successful Windows Client Engineer will drive the design and implementation of new services, find ways to improve and automate our existing services, and provide escalation and mentoring for junior team members. About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- 5+ years supporting Windows family of operating systems to include 4 of the following 8 core competencies: AD, DHCP, PowerShell, Email workflow, SCCM, SCOM, Win OS, DNS, and disaster recovery/business continuity- Knowledge of networking basic skills and troubleshooting- Demonstrated ability to script in the Windows environment using PowerShell.- Experience administering, maintaining, and operating Active Directory Windows based networks- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

AFE Ops Associate, Amazon Freight

Amazon Freight is seeking a highly skilled and motivated AFE Ops Associate to assist in the resolution of vendor, carrier, and/or driver issues of daily freight movements flowing into our North American fulfillment centers and our associated fulfillment network. This is an exciting opportunity to join a new team in a huge growth area for Amazon.An ideal candidate has a background in transportation and excellent data driven problem resolution skills. They have the ability to pull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current systems. This job will require exceptional communication skills as a customer facing role and requires the ability to work independently in a high pressure environment.Key job responsibilities- Continual, tactic communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers)- Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed - Publish performance metrics to assist with driving business results - Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations - Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data - Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered - Work within various time constraints to meet critical business needs, while measuring and identifying activities performed - Excellent communication, both verbal and written as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forumBASIC QUALIFICATIONS- 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience- High school or equivalent diploma- Work 40 hours/week, and overtime as required- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- Are 18 years of age or older ...

Applied Scientist

At Amazon's Selection Monitoring team, we leverage advanced AI technologies, including the latest Large Language Models (LLMs) and Generative AI (GenAI), to enrich and expand Amazon's product selection in alignment with consumers’ interests. Our mission is to establish the world's most comprehensive, accurate, and up-to-date universal product catalog, setting new standards in product discovery and coverage.We're seeking innovative Applied Scientists passionate about leveraging advanced AI to tackle complex challenges in product intelligence, data integration, and knowledge discovery. In this role, you'll collaborate with teams across Amazon to drive customer-focused solutions and amplify the impact of your work on our global customer base.Key job responsibilities- Design and implement advanced AI models using the latest LLM and GenAI technologies to enhance product understanding, matching, and categorization at an unprecedented scale.- Develop novel approaches to extract, generate, and validate product attributes and relationships using multimodal AI, combining text, image, and structured data analysis.- Create intelligent systems that can automatically generate high-quality product descriptions, features, and specifications using GenAI techniques.- Implement advanced natural language processing and computer vision models to extract insights from diverse data sources, including web content, user-generated data, and product imagery.- Develop innovative solutions for entity resolution, knowledge graph construction, and semantic reasoning to build a comprehensive understanding of the global product landscape.- Collaborate with cross-functional teams to integrate AI-driven insights into Amazon's product selection strategies and decision-making processes.- Lead the design and implementation of scalable, production-ready AI systems that can process billions of products efficiently on Amazon Web Services (AWS).- Stay at the advance of AI research, continuously exploring and implementing new techniques in LLMs, GenAI, and multimodal learning to drive innovation in product intelligence.- Contribute to the scientific community through publications, presentations, and collaborations with academic institutions.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 in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Applied Scientist II, Amazon

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Does serving ads to billions of search requests daily and finding the most relevant ads for a search page from billions of ads in 10s of milliseconds excite you?The Sponsored Products Demand Utilization team owns finding the appropriate ads to surface to customers when they search for products on Amazon. We strive to understand our customers’ intent and identify relevant ads which enable them to discover new and alternate products. This also enables sellers on Amazon to showcase their products to customers, which may at times be buried deeper in the search results.Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. We are a team of machine learning scientists and software engineers working on complex solutions to understand the customer intent and present them with ads that are not only relevant to their actual shopping experience, but also non-obtrusive. This area is of strategic importance to Amazon Retail and Marketplace business, driving long term-growth.We are looking for an Applied Scientist, with a background in Machine Learning to optimize serving ads on billions of product pages. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. You will be expected to demonstrate strong ownership and should be curious to learn and leverage the rich textual, image, and other contextual signals. This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, reinforcement learning, query understanding, vector search (kNN) and image recognition to deliver significant impact for the business. Ideal candidates will be able to work cross functionally across multiple stakeholders, synthesize the science needs of our business partners, develop models to solve business needs, and implement solutions in production. In addition to being a strongly motivated IC, you will also be responsible for mentoring junior scientists and guiding them to deliver high impacting products and services for Amazon customers and sellers.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raEKey job responsibilitiesAs an Applied Scientist on this team, you will:- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in deploying your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience with popular deep learning frameworks such as MxNet and Tensor Flow- Experience programming in Java, C++, Python or related language ...

Applied Scientist, Amazon Music Machine Learning/Personalization

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.Key job responsibilities- Work backwards from customer problems to research and develop novel machine learning solutions for music and podcast recommendations. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions.- Advocate solutions and communicate results, insights and recommendations to stakeholders and partners.- Produce innovative research on recommender systems that shapes the field and meets the high standards of peer-reviewed publications. You'll cement your team's reputation as thought leaders pioneering new recommenders. Stay current with advancements in the field, adapting latest in literature to build efficient and scalable modelsA day in the lifeLead innovation in ML to shape Amazon Music experiences for millions. Collaborate with talented engineers and scientists to guide research and build scalable models across our audio portfolio - music, podcasts, live streaming, and more. Drive experiments and rapid prototyping, leveraging Amazon's data at scale. Innovate daily alongside world-class teams to delight customers worldwide through personalization.About the teamThe team is responsible for models that underly all of Amazon Music’s recommendations across content types on mobile, web and Alexa. You will collaborate with a team of product managers, applied scientists and software engineers delivering meaningful recommendations, personalized for each of the millions of customers using Amazon Music globally. As a scientist on the team, you will be involved in every aspect of the development lifecycle, from idea generation and scientific research to development and deployment of advanced models. You will work closely with engineering to realize your scientific vision. 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 patents or publications at top-tier peer-reviewed conferences or journals ...

Applied Scientist, Amazon Customer Service

We are looking for an Applied Scientist that will develop scientific algorithms, and deploy Large Language Model (LLM) solutions to improve the customer experience and support driver needs. The Applied Scientist will work closely with technology and product teams to solve business and technology problems using scientific approaches to build an advanced driver/customer facing chat-bot that surprises and delights our customers. As an Applied Scientist at Amazon, you will apply scientific principles to support significant invention, develop code, and will be deeply involved in bringing the algorithms to production. You will also work on cross-disciplinary efforts with other scientists within Amazon.Key job responsibilities- Develop scalable efficient solutions for customers using scientifically-based methods, LLM, and decision making.- Help support production systems that take inputs from multiple models and make decisions in real time.- Automate feedback loops for algorithms in production.- Utilize Amazon systems and tools to effectively work with terabytes of data.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThe Shipping and Delivery Support (SDS) Tech team’s mission is to enable successful deliveries through fast and efficient support experiences for our drivers, recipients, and associates. The science team utilizes advanced scientific methods, including LLM to support the business, and improve driver support quality and deliveries efficiency.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon Payments Finance Manager, Amazon Payments - B2B Payments & Lending

At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to make history. Entering the business to business (B2B) market is one of Amazon’s most exciting growth opportunities and since launching in 2015, The B2B Payments team is focused on building tailored payment products that enable AB’s customers to enjoy a seamless purchasing experience. We are growing fast and require a talented finance professional to help us scale as we are launching a number of exciting new products and services. B2B Payments Finance offers a rich learning experience and an opportunity to develop professionally. We are a young business that will challenge you to weigh in on decisions that have long-term strategic importance, and to produce insightful analytics that help us accelerate growth. You will work closely with business partners and get exposure to senior leaders while you become a subject matter expert. We are looking for an individual who can influence business partners to drive results and who welcomes the challenge of building structure while supporting high growth in a fledgling organization with senior management visibility. This role has a matrix report based in Bangalore and is ideal for someone looking to gain people responsibility/ grow their management experience. The person in this role is responsible for long and short term financial planning, controllership, developing and reporting on weekly financial and operational performance metrics, and providing analytical support for the AB Payments team. This position will be a key risk/controllership gateway for the payments business and requires a candidate with strong communication and leadership skills. A portion of the time will be spent on ad hoc analysis to support the growing business’ needs. The B2B Payments Finance team works closely with a number of other finance and business teams, so any candidate should be able to work well with cross functional teams. The ideal candidate must have superior attention to detail and the ability to successfully manage multiple competing priorities simultaneously. Strong analytical skills are required.Ideal candidates will have the following strengths: - Comfortable working independently in a fast-paced environment - The ability to translate large amounts of data into useful information and actionable conclusions - Strong written and oral communication skills combined with the ability to meet tight deadlines and prioritize workloads - An understanding of finance issues in an operational environment of rapid growth - The ability to work cross-functionally with product, operations, marketing and BI teams - Solid business judgment and controllership focus - Strong financial modelling skills, including good knowledge of SQL and excellent knowledge of Microsoft ExcelBASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience ...

ADC Engineer, ADC Security Services (A2SE)

Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?Are you looking for a unique opportunity to work on impactful projects that shape the future of Amazon Dedicated Cloud (ADC) Regions? Are you passionate about driving innovation, solving complex challenges, and making a tangible impact?The Amazon Dedicated Cloud (ADC) Security Systems Engineering (AS2E) team provides operational support for security services in US Amazon Dedicated Cloud (ADC) Regions. The team is focused on doing more with less by improving operational health and reducing manual toil for these security services. The team delivers on high-impact, high-visibility projects, and you have the opportunity to join us!This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilitiesThe AS2E organization offers engineers a unique ability to have significant impact in ADC regions, to advance their careers, and to collaborate across AWS on challenging business problems. You will have the opportunity to automate repetitive tasks, influence partner teams, impact team goals, optimize team processes, provide technical decision making, and independently resolve complex problems. Members of AS2E are held to a high bar, and are routinely asked to make clarity out of ambiguity.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- 3+ years Linux systems administration experience- 3+ years technical troubleshooting / support experience- 2+ years of networking experience (TCP/IP)- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

2025 Software Dev Engineer Intern - Compiler, Annapurna ML

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks. By applying to this position, your application will be considered for all locations we hire for in the United States.Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the "secret sauce" behind AWS's success with development centers in the U.S. and Israel, Annarpuna is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.The Annapurna team hires for multiple disciplines Software and Hardware engineers including but not limited to compiler engineer, machine learning engineer, runtime engineer, performance engineer and ML chip accelerator, ASIC, physical designs, SDE in Test. Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.If this sounds exciting to you - come build the future with us!Key job responsibilitiesInnovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safetyWriting requirements capturing documents, design documents, integration test plans, and deployment plansCommunicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholdersBASIC QUALIFICATIONS- Currently enrolled in a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2025 and September 2026- Programming experience in internship or coursework with programming language such as Python and/or C or C++- Candidates with strong interests and academic qualifications/research focus in two of the following: 1. Knowledge of code generation, compute graph optimization, resource scheduling, 2. Data structure and algorithms, 3. Compiler - Optimizing compilers (internals of llvm, clang, etc), 4. Machine Learning - Experience with XLA, TVM, MLIR, LLVM, 5. Deep learning models and algorithms, 6. Tensorflow, PyTorch, or MxNET frameworks ...

Applied Scientist I, Scanless Tech, Amazon Robotics

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We’re looking for an Applied Scientist who will research, design, and implement machine learning solutions to unsolved, real world problems at Amazon Robotics. We invent new improvements every day. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. The Scanless Tech organization builds products that eliminate the need for explicit scanning in the Amazon Fulfillment Network. We research, design, and implement solutions for automated identification of objects and object movement by removing the need for manual scanning of identifiers, like barcodes. We integrate hardware, software, and machine learning, developing products that are solution-agnostic while enabling easy integration from installation to execution. We push the boundaries of current solutions to solve customer challenges and impact many areas of Amazon’s operations. For our associates, our systems affect user experience by improving safety and ergonomics. For our large fleet or robots, they improve overall throughput and efficiency.Come collaborate with us and develop pioneering applications in a highly exciting and innovative environment where your solutions will impact tens of thousands of users for every minute of their working day! Key job responsibilities* Identifying creative solutions for challenging research problems in computer vision• Developing software solutions to test hypotheses and demonstrate new functionality• Prototyping concepts on robots and other workcells to collect data and measure performance• Writing code and unit tests and integrating code with other software and hardware components• Scientific Writing A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the teamThe Scanless Tech teams build products that eliminate the need for explicit scanning in the Amazon Fulfillment Network. We research, design, and implement solutions for automated identification of objects and object movement by removing the need for manual scanning of identifiers, like barcodes. We integrate hardware, software, and machine learning, developing products that are solution-agnostic while enabling easy integration from installation to execution. We push the boundaries of current solutions to solve customer challenges.Our solutions directly impact many areas of Amazon’s operations. For our associates, our systems affect user experience by improving safety and ergonomy. For our large fleet or robots, they improve overall throughput and efficiency.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Applied Scientist II, Last Mile Science

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilitiesCandidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As an applied scientist, you will also help coach/mentor junior scientists in the team.BASIC QUALIFICATIONS- 1+ years of programming in Java, C++, Python or related language experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- 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 ...

AI/ML Operations TPM, Annapurna Labs

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.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The MLA Technology team is looking for candidates interested in helping us keep that engineer primed with our sourcing, manufacturing and delivery partners. Diving deep into the different hardware component and and scale technologies that power our Machine Learning boards and servers at scale.If you are an experienced Operations/Sourcing/Technical sourcing professional with a passion for customers, and hungry for creating an impact at a Global scale, that is what we are looking for!You will own, build, and run technology sourcing, and qualifications programs. You will do this hand and hand with Annapurna Labs engineering, component engineers and AWS global infrastructure team. You will have multiple stake holders to influence and drive plans to create a resilient supply chain that is driven by innovation. If you thrive optimizing operations and driving results and want to be accountable for a significant impact and a once-in-a-life time professional opportunity, we have an opportunity for you.We are looking for a Supply chain expert with a technical background who can drive programs with engineering and with our suppliers to ensure we can scale our in-house products. To be successful in this role – you will need to be analytical, digging into data to understand the right course of action. In addition, we are looking for a strong leader who can drive the programs through various levels of the organization and excels at executive communication. AWS is the world’s leading and most trusted provider of virtualized public cloud utility services. We offer our global IT customer base who span private, corporate and government sectors, over 100 fully featured, integrated services in Gen AI, compute, storage, database, analytics, mobile, Internet of Things (IOT) and enterprise applications. AWS operates a worldwide fleet of interconnected enterprise data centers at hyperscale to deliver the capacity that powers our customers IT infrastructure which enables their ability to concentrate on core competencies through agility and operational efficiency. To learn more about AWS, visit https://aws.amazon.comKey job responsibilities- Understand key technology trends on board level components for NICs and ML accelerators, and engage with suppliers to drive product technology roadmaps and execute strategic quality/availability/cost improvement initiatives- Dive deep into the bill of materials (BOM) for various boards to analyze BOM health, and identify potential areas of opportunities- Analyze industry capacity for manufacturing critical technologies especially in the GenAI space to predict market constraints and plan sourcing strategies to secure continuity of supply and drive cost optimization.- Build a comprehensive program management schedule and communicate it effectively across various stakeholders to hold them accountable to deliverables.- Partner with a global team who lead complex negotiations including commercial terms, statements of work, SLAs, capacity, supply & pricing.- Coordinate Engineering with early technology adoption, startup organizations and qualification of components.About the teamAbout the teamOur 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- 5+ years of technical product or program management experience- 7+ years of working directly with engineering teams experience- 3+ years of software development experience- 5+ years of technical program management working directly with software engineering teams experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

Applied Scientist - Drone Traffic Management, Prime Air

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air team! We're looking for an outstanding Applied Scientist with either some background or strong interest in building simulation tools and algorithms for orchestration of a fleet of autonomous delivery drones. Managing a large number of concurrent autonomous drone flights that share airspace with other autonomous or manned aircrafts is a challenging problem. Be part of the team building simulation tools and algorithms to solve this at scale.This role will contribute to a portfolio of simulation tools managing concurrent airspace traffic for aviation systems. The ideal candidate is comfortable with a degree of risk taking and ambiguity and able to build consensus on the critical path. If you enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before, Prime Air could be the place for you. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver and directly impact Amazon’s customer’s worldwide.About the teamPrime air has ambitious goals to offer its service to an increasing number of customers and enabling a large number of concurrent flights is central to achieving this. To this end, the air traffic management team is building algorithms, tools and services for orchestration of prime air's autonomous drone fleet. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of science, technology, engineering 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 ...