Amazon.com Services LLC

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 ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we can't even image yet. We invent new improvements every day. Amazon Robotics is seeking a talented and motivated Mechanical Engineering student to join our Hardware Engineering teams for a Co-op assignment. The candidate will have the opportunity work with senior engineering staff on new and existing tools, mechanisms, modules and systems. The ideal candidate has strong mechanical aptitude, enjoys problem solving and can potentially handle multiple parallel tasks. This role is a 6 month co-op to join AR full time (40 hours/week) from July to December 2024. Amazon Robotics co-op opportunities will be based in the Greater Boston Area, in our two state-of-the-art facilities in Westborough and North Reading, MA. Both campuses provide a unique opportunity for co-ops to have direct access to robotics testing labs and manufacturing facilities.Co-op Responsibilities:· Work as part of an interdisciplinary team to design and analyze mechanisms, modules or systems· Model and detail solutions in hand sketches and SolidWorks· Analyze components and systems using standard tools including SolidWorks Simulation (FEA) as well as hand calculations· Participate in brainstorming sessions· Build models and prototypes· Conduct testing· Support staff writing ECO's, specifications and plansBASIC QUALIFICATIONS- Junior year or beyond in Mechanical Engineering program with at least a semester left of school after completion of the co-op- Must be eligible and available for a full-time (40h / week) 6-month co-op between July to December 2025- Solid understanding of principles, theories and concepts in mechanical engineering- Proficiency with SolidWorks Simulation Finite Element Analysis tools ...

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

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics co-op & internship opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.This role is a 3 month internship from May - August 2025.Key job responsibilities* Manage one large, or multiple smaller projects in a manufacturing environment * Project size and quantity is dependent upon candidate comfort level as well as business project priority at the time of hire* Take on a leadership role for projects that may span various aspects of manufacturing operations* Leverage and develop project management skills including: Development of project schedules using MS Project, or other chart tool of choice and Managing a risk register, including identifying, assessing and mitigating risks * Gather and analyze project data for monitoring key performance indicators (KPIs), crafting reports and dashboards, while utilizing insights to shape program priorities* Interface cross functionally with tech and non-tech teams to deliver project requirements * Drive continuous improvement initiatives by planning and implementing lean projects within the company, collaborating with multiple stakeholders in the development and delivery of related content and trainingA 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!BASIC QUALIFICATIONS- Must be currently enrolled in a Bachelor's degree or Master's degree in Engineering Management, Project Management, or a similar degree- Must have at least one semester/term/quarter of school left to complete after the end of the co-op- Must be eligible and available for a full-time (40h / week) 6-month co-op between January - June 2025- Graduation is December 2025 or later ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics internship/co-op/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Key job responsibilitiesThe UX team seeks a UX Co-op who is passionate about applying user-centered methods to real world product development. Qualified candidates are passionate about implementing design thinking and user-centered methods as an integrated part of an interdisciplinary product team. A successful candidate is curious and driven, with a proclivity to show designs, diagrams, and visual representations of both problems and solutions as they work toward understanding both the problem and the solution.As a UX Co-op, you may:- Collaborating with software and hardware development teams to develop user-centered design plans that meet business, user, and technical constraints and needs- Prioritize key features to meet user needs- Generating mockups of various levels of fidelity, from workflows to pixel-perfection- Test and validate designs throughout the design process - Contribute to the maintenance of a design systemAbout the teamThe UX team is involved with all user-facing products and systems developed at AR. These range from dashboards and monitoring displays that keep operations managers informed, to command panels that enable interaction with and diagnostics of manipulation arms for maintenance engineers, to workstations that empower associates to perform their duties in a safe, ergonomic, intuitive, and rewarding manner, to the handheld devices that alert associates to the tasks that most need their attention. We develop design artifacts to represent these user needs, design systems to empower scalable and usable interface development, and validation strategies to ensure AR products measurably improve user performance and experience.BASIC QUALIFICATIONS- Currently enrolled in Bachelor’s, Master’s, or higher in Human-Computer Interaction, Computer Science, Design, or other equivalent discipline- Must be eligible and available for a full-time (40h /week) 5-6 month internship, in-person in 2025- Design experience- Experience with Qualtrics or similar survey design tools ...

AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML).As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI.A day in the lifeThe team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USAAbout the teamAWS 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.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. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.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 ...

Amazon Photos is looking for a leader to head the Applied Science team for the business. This leader will report directly to the GM of the business and be part of the leadership team. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps and on Echo Show and Fire TV. With all the recent advancements in AI, Amazon Photos has completely re-thought the product roadmap and is now looking for a hands-on technical leader who can guide a team of Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. The ideal candidate has a PhD in CS or related fields, 15+ years of work experience in Computer Vision / AI fields, with a demonstrated ability to successfully lead a team and interface with product and business leaders. Key job responsibilities- Work closely with Product to understand the short-to-long-term roadmap to uncover Applied Science needs for supporting the business- Manage a team of Applied Scientists and prioritize their work- Work closely with engineering to deliver AI features at scale- Work closely with engineering to build the AI infrastructure needed to deliver on applied science features worldwide- Work closely with Product and Engineering to prototype new product ideas for consideration- Be part of the leadership team and participate in key debates around product roadmap including influencing the business strategy BASIC QUALIFICATIONS- MS in CS or related fields- Technical experience in CV/ML/AI fields- Demonstrated ability to manage a team of applied scientists ...

Amazon's Search Science and AI team creates ML algorithms that connect customers around the world with products that delight them. We harness cutting-edge ML at Amazon's scale to make the customer experience easier and smoother. Our impact is large. For example, if your innovations save even 1 minute per customer per year, then for every 100 million customers, you save approximately 190 years of human effort.Key job responsibilitiesYou will build search ranking systems that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world. As an Applied Scientist you will find the next set of big improvements to ranking, leverage large datasets to understand the complexities of customer behavior, and get your hands dirty by building ML models that work at Amazon scale. In addition to typical topics in ranking, we are particularly interested in exploration techniques and reinforcement learning.A day in the lifeOur primary focus is improving search ranking systems. On a day-to-day this means building ML models, analyzing data from your recent A/B tests, and guiding teams on best practices. You will also find yourself in meetings with business and tech leaders at Amazon communicating your next big initiative.About the teamWe are a team consisting of ML scientists and software engineers. Our interests and activities span machine learning for better ranking, statistics for better decision making, and infrastructure to make it all happen at scale and efficiently.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 ...

We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.In this role you will influence our team’s science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state of the art machine learning research.You will be owner of the solutions that you create, you will lead junior members of the team, and you will work closely with Software Development Engineers to deploy the models into production.Your solutions will drive the technology behind agentic solutions, automated evaluations, and sophisticated RAG at Amazon.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience 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's Weblab team enables experimentation at massive scale to help Amazon build better products for customers. A/B testing is in Amazon's DNA and we're at the core of how Amazon innovates on behalf of customers. We are seeking a skilled and experienced Applied Scientist to help us build the future of experimentation systems at Amazon.About you:You have an entrepreneurial spirit and want to make a big impact on Amazon and its customers. You enjoy enabling intelligent decisions in the face of real-world, noisy data, and have a bias for delivering simple solutions to complex problems. You're a scientist looking for a career where you'll be able to build, to deliver, and to impress. You're a thought leader and you demonstrate this by delivering solutions, not just by having ideas. You challenge yourself and others to come up with better solutions. You develop strong working relationships and thrive in a collaborative and friendly team environment. About us together:We're going to help Amazon innovate faster and smarter by designing and delivering the next generation of data analysis tools and visualizations. Along the way, we're going to face seemingly insurmountable challenges. We're going to argue about how to solve them, and we'll work together to find a solution that is better than each of the proposals we came in with. We'll make complex decisions, but we'll all understand why. We'll be the dream team.We have decades of combined experience on the team in many areas of data science so it's a great environment in which to learn and grow. Many of us have university teaching experience and we're happy to teach. But, we're also like children playing at the edge of a vast unexplored territory; we have a lot to learn and we are all exploring together with a sense of awe and humility.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- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics internship/co-op/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Key job responsibilitiesAmazon Robotics Storage Technologies is looking for a Business Intelligence Engineer Co-op to analyze robotic systems, improve program dashboards, and to create data pipelines through AWS. A successful co-op candidate will use data and technology to seek improvements or find disruptions in current storage field operations. In addition, a successful team member seeks opportunities to deep dive issues & influence future decisions, automate and standardize tools & processes where needed. Candidates should have experience in business analytics, data science, data visualization, data engineering, and communicating analyses effectively. Amazon Robotics’ culture encourages innovation and expects co-ops to take a high level of ownership in all tasks.As a Business Intelligence Co-op you may:* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs* Analyze historical data to gauge relative performance metric changes, highlighting causation. * Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement* Work with partner teams to onboard data from other Amazon data providers* Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions* Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards* Recognize and implement best practices and automation opportunities for reporting and analysisAbout the teamThe Robotic Storage Technology BI, Analytics and Data Science team (RST-BAND) is comprised of data scientists and Business Intelligence Engineers who support data exploration and analysis to support Amazon Robotics (AR) fulfillment buildings and new product development. We conduct relevant, insightful analysis and communicate the results through white papers, dashboards, and presentations. Our methods include design of experiments, statistical modeling, financial analysis, data pipelining, exploratory data analysis, metric generation, and data visualization.BASIC QUALIFICATIONS- Currently enrolled in Bachelor's, Master’s degree or higher in the US in an analytically rigorous field (Mathematics, Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline- Must be eligible and available for a full-time (40h / week) 5-6-month in-person internship in spring 2025- Experience building dashboards in Tableau or other relevant data visualization tool (Looker, PowerBI, Grafana, etc.)- Write high-quality and optimized SQL queries to retrieve datasets- Basic understanding of Python for exploratory data analysis and modeling- Ability to communicate analytic results effectively across stakeholder groups ...

The Sensory Inference team at AGI is a group of innovative developers working on groundbreaking multi-modal inference solutions that revolutionize how AI systems perceive and interact with the world. We push the limits of inference performance to provide the best possible experience for our users across a wide range of applications and devices. We are looking for talented, passionate, and dedicated Inference Engineers to join our team and build innovative, mission-critical, high-volume production systems that will shape the future of AI. You will have an enormous opportunity to make an impact on the design, architecture, and implementation of cutting-edge technologies used every day, potentially by people you know. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization, Speculative Decoding, and Long Context for inference efficiency.Key job responsibilities• Develop high-performance inference software for a diverse set of neural models, typically in C/C++• Design, prototype, and evaluate new inference engines and optimization techniques• Participate in deep-dive analysis and profiling of production code• Optimize inference performance across various platforms (on-device, cloud-based CPU, GPU, proprietary ASICs)• Collaborate closely with research scientists to bring next-generation neural models to life• Partner with internal and external hardware teams to maximize platform utilization• Work in an Agile environment to deliver high-quality software against aggressive schedules• Hold a high bar for technical excellence within the team and across the organizationBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Bachelor's degree in Computer Science, Computer Engineering, or related field- Strong C/C++ programming skills- Solid understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.) ...

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 looking for an outstanding engineer to support our acoustic analysis, anechoic chamber, and noise testing. You’ll be responsible for owning, building, and implementing our indoor and outdoor noise testing of our propellers and drone vehicle designs. Your work will feed directly into our certification and regulatory processes to launch sites and expand operations. You’ll explore new and novel propeller and drone vehicle designs in both focused and wide open design spaces, with the ultimate goal of meeting our customer requirements. You will directly support the Office of the Chief Program Engineer, and work closely across all vehicle subsystem teams to ensure integrated designs that meet performance, reliability, manufacturing, and cost requirements.About 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, physics and 5+ years experience or equivalent- Experience with acoustic and exterior noise testing for air vehicles or rotorcraft- Hands-on experience designing, building, or operating acoustics test systems- Experience designing and building mechanical and electrical systems, test models, and test fixtures ...

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! Key job responsibilities- Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps- Stay up-to-date with advancements and the latest modeling techniques in the field- Publish your research findings in top conferences and journalsA day in the lifeWe're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. 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 ...

Come build the future with Amazon Global Air!A part of Amazon’s transportation solution, Amazon Global Air provides an exhilarating, customer-centric transportation option to safely and efficiently deliver goods across long distances. We’re defining the future of air cargo through a talented, diverse team, leveraging innovative technologies and a sustainability-aware mindset to solve large-scale challenges. Ready for your career to take off? Fly Amazon!#AmazonAir #FlyAmazonKey job responsibilities- Support, mentor, and motivate your team- Manage safety, quality, productivity, and customer delivery promises- Collaborate with all support teams including Safety, Ops Integration, Loss Prevention and Human Resources to develop plans to meet business objectives- Lift up to 49 pounds, stand and walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend, and reach, as well as continuously climb and descend stairs- Work in an environment where the noise level varies and is subject to variable temperatures and weather (Air gateways include outside loading departments/ramp loading)- Supporting all safety programs, OSHA and Air Carrier FAA compliance to ensure a safe work environment for all AssociatesA day in the lifeAs an Area Manager, you will lead a team of hourly employees and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key part in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Depending on the type of job, you will be required to engage in physical warehouse and ramp activities given reasonable accommodation. The ambiguity of this role allows for creativity; you’re able to invent and enhance safer processes within aviation, all while building and maintaining a great work place for yourself and your direct reports. You will have the opportunity to influence others to enhance our Air network and develop your career on Amazon’s fastest growing and evolving team!Eligibility requirements- Individuals hired into this position will have unescorted access privileges to airport security identification display areas (SIDA). For this reason, eligibility for this role will be limited to individuals who pass a security screening, as required by the FAA, DHS, and TSA (as applicable).- Must be able to secure appropriate airport authority and/or US Customs security badges, if applicable.- This position requires an employee’s full and unimpaired skills and judgment to safely execute their job duties to ensure the safety and security of Amazon AIR personnel, third-party contractors, Airport personnel, cargo, and equipment. This position is therefore designated as a safety sensitive position and is subject to mandatory pre-employment and, where permitted, post-hire drug testing.Temperature in the Air Gateway may vary between depending on outside weather conditions and will fluctuate depending on the season and daily weather conditions. You may be working outdoors your entire shift. The ability to work outdoors in a variety of weather conditions is a must.Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

We are Stores Foundational AI - M5 team, and we build LLM foundation models that serves a broad spectrum of areas in shopping. Imagine every shopping experience you have on Amazon has our models in the backend. We’re working to improve shopping on Amazon using LLMs, and are searching for a science leader who is passionate about technology, innovation, customer experience, and ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. You will lead a high performing team to work on cutting edge LLM technologies that makes broad customer impact. If you're fired up about being part of a dynamic, data driven team, then this is your moment to join us on this exciting journey!BASIC QUALIFICATIONS- 2+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Knowledge of machine learning approaches and algorithms ...

Amazon opened its virtual doors in 1995 and strives to be the world’s most customer-centric company, where customers can find and discover anything they might want to buy online. Amazon Pickup and Returns continues this core customer-centric value by providing pickup solutions for customers that fit their lifestyle. If you are passionate about operations and look around corners for ways to serve customers, we want your help.We are seeking an experienced Account Manager to join the Pickup and Return Points team, supporting our growing network of multi-family Apartment Lockers. In this role, you'll be responsible for managing relationships with Property Manager customers, proactively identifying and implementing customer-focused enhancements, and driving process improvements across our locker network. At Amazon Pickup and Returns we are transforming how quickly and conveniently Amazon delivers to its customers. Our partners want to work with us to host lockers so they can offer the latest convenience for their customers. In this role, you'll have the opportunity to work with a wide variety of partners that include national and franchisee locations.Key job responsibilities- Serve as the primary point of contact for assigned Property Manager customers- Build and maintain strong relationships with key stakeholders at each property- Conduct regular check-ins and performance reviews with customers- Proactively address customer concerns and escalate issues when necessary- Identify opportunities for operational enhancements across the locker network- Develop and implement process improvements to increase efficiency and customer satisfaction- Create and maintain standard operating procedures (SOPs) - Prepare regular performance reports for internal stakeholders and customers- Analyze data to identify trends, opportunities, and potential risksA day in the lifeDay to day responsibilities include collaborating with internal teams to streamline workflows and reduce manual effort, communicating with Property Managers and proactively addressing their needs, monitoring and reporting on key performance indicators (KPIs) related to the Locker network, and developing and implementing strategies to improve property manager, driver, and resident experience.BASIC QUALIFICATIONS- Bachelor's degree- Experience analyzing data and best practices to assess performance drivers- Experience in client or vendor facing roles with a focus in relationship management and negotiation skills- Proven track record of building and maintaining strong customer relationships ...

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

We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, across the breadth of Amazon Shopping and AGI to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! BASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 7+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- 5+ years of applied research experience ...

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using innovative technology, to solve some of the toughest business problems at Amazon.As an Applied Scientist you will work with business leaders, engineers, and scientists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed solutions. You will develop science products and internal tooling to drive new product development decisions and interventions to improve existing products. Current research areas include entity resolution, generative AI, large language models, and product substitutes. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale science problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. If you are interested in Machine Learning, Generative AI, and large-scale intelligent solutions then this is the role you have been looking for.We are a Day 1 team, with a charter to be disruptive through the use of the innovative techniques and algorithms. You will start on green field projects working with engineers to bring our models to life as well as data products that other teams can benefit from. We are an inclusive team, and are looking for Applied Scientists that aren't averse to learning and building and or optimizing ML models alongside our engineers, product managers and business partners.As an Applied Scientist on the team, you will drive improvements to our business, collaborating with scientists, economists, engineers and highly-engaged stakeholders to deliver actionable insights continuously. We’re truly an agile shop: we work closely with users, deliver features with high frequency, can pivot on a dime when needed, and are passionate about solving customer pain points. We are looking for applied science leaders who share our vision for continuously improving the customer experience, who are motivated by challenging business problems and who love thinking big.Key job responsibilities* You will take the lead on large projects that span multiple teams. The problems you solve will be ambiguous, requiring both technical and domain expertise. You will deliver significant benefits to business.* You need to understand challenges in your teams’ business area, the applicability of relevant machine learning disciplines, and interactions among systems. You will influence your team’s technical and business strategy by making insightful contributions to team priorities and approach.* You will make solutions simpler. You will optimize connected systems using their dynamics. You will improve the consistency and integration between your team’s solutions and the work being done by related teams.* You will improve the work done by others, either via a collaborative effort or by increasing their scientific knowledge, using specialized tools or advanced techniques. You will lead and actively participate in scientific reviews for your team and others.* You are able to communicate your ideas effectively to achieve the right outcome for your team and customer including when to make appropriate trade-offs. You harmonize discordant views and lead the resolution of contentious issues.* You actively participate in the hiring process and improve the skills and knowledge of others via mentoring.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 ...