Amazon.com Services LLC

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 ...

The AMER Production Coordinator provides customer-centric booking management, calendar, organizational, reporting, marketing efforts and administrative support to the Event Productions AMER Large Production Venues team. The primary focus supports booking management and calendar logistics for customer events. A successful candidate will be able to step seamlessly into a corporate production environment, demonstrating strong organizational skills, impeccable customer service attitude, and be energetically driven to serve our customers and the team.Key job responsibilities• Daily customer communication and management• Manages the assessment of incoming customer requests• Able to work backwards from production technical requirements and partner with production stakeholders• Regular scheduling of customer requests and customer meetings management• Maintains multiple venue calendars and workflows• Supports and collaborates cross-team, attending team meetings and production meetings• Collaborates across teams and partners, routing customer requests to the most appropriate event resources• Supports vendor and stakeholder relations, across partner and service groups• Manages meetings effectively; provides supporting data and documentation, aligns stakeholders• Improves efficiencies, and works to optimize processes• Delivers weekly metrics, data, and reports• Works on goal-centric projects, aligns stakeholders and seeks diverse opinions• Able to identify blockers, escalate appropriately and facilitate progress• Collaborates with customers; able to discuss referrals, recommendations, and additional resources as neededBASIC QUALIFICATIONS- 2+ years in project management- 2+ years advancing customer events and/or event marketing- 2+ years customer service in related field- 2+ years familiarity with event production environments- 2+ years managing multi-calendar workflows- 2+ years managing customer leads and booking queues- Strong written and verbal communication skills- Familiarity with event booking systems, programs, and platforms- Able to effectively prioritize and meet competing deadlines- High level of proficiency in Microsoft Outlook and Microsoft Office Suite. ...

** This position is open to all candidates in Palo Alto, CA, Seattle, WA, NYC and Arlington, VA **Amazon Ads Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers.Key job responsibilitiesAs a Machine Learning Applied Scientist, you will:* Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities * Develop scalable and effective machine-learning models and optimization strategies to solve business problems * Run regular A/B experiments, gather data, and perform statistical analysis* Work closely with software engineers to deliver end-to-end solutions into production * Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving * Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products businessAbout the teamWe are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products business. We empower every customer with a customized discovery experiences from back-end optimization (such as customized response prediction models) to front-end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We are a part of Amazon Alexa Devices organization with the mission “delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden”. We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions.Key job responsibilitiesAs an Applied Scientist on the team, you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.BASIC QUALIFICATIONS- PhD, or Master's degree and 3+ years of building machine learning models for business application experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Brand Stores (such as www.amazon.com/lego) are a core product offering in the Amazon Advertising portfolio. The brand’s store is their dedicated place on Amazon to differentiate, grow sales, and build loyalty with millions of shoppers. Our mission is to empower brands of all sizes to tell their story in their own unique voice to consumers. We help brands create engaging shopping experiences that assist shoppers in discovering and evaluating them as part of purchase decisions. We succeed when we are both useful to shoppers and when brands can attract and retain shopper’s attention using our products. A cool case study on brand stores can be found here: https://advertising.amazon.com/library/case-studies/nespresso-brand-store-increases-shopper-engagement.We are looking for an Applied Scientist to lead the generation of data driven insights that bring long term value to brands, as well as the idealization and creation of ranking models for brand content. 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.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team collaborate closely with other 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_6Lzw8raE #adpt-brand-shopping-experiences-scienceKey job responsibilitiesAs an Applied Scientist on this team, you will: - Be the technical leader in Machine Learning; lead efforts within this team and across other teams.- 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.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing 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.About the teamThe Brand Shopping Experience Team (BSX) develops and deploys into production Machine Learning Algorithms that quantify relevance, select and organize Brands’ pieces of content in different placements in Amazon.com. BSX's goal is to create engaging and enjoyable shopping experiences that incentivize Brand discovery and that foster Brand-Customer relationships.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 ...

The Digital Discovery team is part of the Digital Acceleration organization and is seeking a highly motivated, talented, and innovative Applied Scientist to drive the prototyping, optimization, and deployment of machine learning (ML) algorithms. These algorithms will be instrumental in enhancing the discovery of digital products and subscriptions across the Amazon platform. The Digital Discovery team is responsible for developing advanced algorithms and modeling techniques to acquire new customers and improve engagement for digital business including eBooks, Music, Audible, and Prime.In this pivotal role, you will leverage your expertise in machine learning and deep learning to build predictive models aimed at acquiring new customers and driving deeper engagement with existing customers across these digital offerings. This will involve developing propensity models for various digital products, optimizing targeting strategies for different placements, and identifying real-time customer digital interests.Collaborating closely with the engineering team, you will be responsible for the end-to-end lifecycle of these ML models - from architecture and training to production deployment. Your primary focus will be on uncovering customer pain points and devising novel, data-driven solutions to address them. This will require proposing hypotheses, validating them through offline experimentation, and ultimately running rigorous A/B tests to validate the online performance of your innovations. Throughout this process, you will develop production-ready code that can seamlessly integrate with the systems powering Amazon’s digital businesses. Your work will directly contribute to enhancing the discoverability and engagement of digital products and subscriptions.If you are a passionate, self-driven individual who thrives in a fast-paced, collaborative environment and is eager to push the boundaries of what’s possible in AI and ML, we encourage you to apply for this exciting opportunity on the Digital Discovery team.Key job responsibilities- Convert business problem in digital discovery into a Science problem to improve recommendation. - Work with Data Engineering and BI teams to identify features and build data pipelines. - Use and enhance ML Ops tools to train, validate, deploy, and compare the models with automatic retraining. - Explain model performance to tech and business leaders. - Work with peer community in Science to present, review and publish the model reports and papers. About the teamAmazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.BASIC QUALIFICATIONS- 2+ 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 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 ...

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 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.This role is a 6 month co-op to join AR full time (40 hours/week) from July to December 2025. Come join us in North Reading, MA, or in our newly expanded innovation hub in Westborough, MA!Amazon Robotics is seeking a talented and motivated electrical engineering student to assist with system design, implementation, and release to manufacturing. The ideal candidate will have had experience with and interest in electrical engineering concepts, circuit analysis, creating schematic designs, doing component research, and creating test procedures & reports.The Electrical Engineering Co-op will be responsible for:- Assisting an interdisciplinary team of engineers in the execution of product designs from concept to production including design, prototyping, validation, testing, and certification- Assisting in the architecture, design, and implementation of complex circuit designs.BASIC QUALIFICATIONS- Currently working towards a BS or MS in Electrical Engineering (or similar field) with at least one semester remaining of school after the completion of co-op- Must be eligible and available for a full-time (40h / week) 6-month co-op between July to December 2025.- Classroom and project experience in electrical and/or system level design ...

Please note the following eligibility requirements to apply for this role:• Graduate from bachelor's degree program between 12/2024 and 6/2025, or graduated from bachelor’s degree program within past 24 months.• Ability to relocate to Boston, MA or other US locations based on business need. Relocation assistance provided, if eligible. • Ability to begin 40-hour/week, full-time employment in Fall 2025.• We are unable to offer visa sponsorship for this role.For FAQs, please visit: https://amazon.jobs/content/en/faq/university-talent Successful sourcers utilize their experience in setting benchmarks, forecasting and tracking against metrics, and prioritizing to hit customer goals. They thrive in an innovative, fast-paced environment, can roll up their sleeves, work hard, and have fun to get the job done. They draw on knowledge of Talent Acquisition and functional areas of the business, forging dynamic relationships with business leaders and hiring managers.Key job responsibilitiesCandidates must be able to successfully manage, prioritize, and fulfill job searches against a timeline and have experience setting benchmarks and metrics. They must understand how to prioritize and achieve SLAs. The best candidates will draw on knowledge of talent acquisition and tech roles and areas of the business, forging dynamic relationships with business leaders, hiring managers, and HR business partners. They have a reputation for being exceptional at candidate generation, client/account management, strong organizational skills, possess strong verbal and written communication skills, have an ability to prioritize their time, demonstrate a sense of urgency, and understand the value of providing amazing customer service. BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in a bachelor’s degree program with a graduation conferral date between December 2024 and June 2025, or graduated from a bachelor’s degree program in the past 24 months. ...

Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading generative AI technologies to derive insight at scale - all in a challenging, fast-paced environment? We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audit’s Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams, utilizing the right methods to derive deeper patterns, and surface insights to gain holistic perspectives while amplifying potential risk mitigation.Key job responsibilities- Work with audit teams, product managers, engineers, and more senior scientists to contribute to machine learning and generative AI products that have degrees of ambiguity, scale, and complexity.- Perform statistical analyses and modeling using SQL and scripting languages like Python/R with big data to develop insights and recommendations to improve internal audit cycles.- Assist in architecting secure and scalable solutions leveraging AWS machine learning, AI and Generative AI related services, working closely with auditors to understand their business needs.- Contribute to the full development cycle of machine learning models and generative AI solutions: design, prototype, impact assessment, A/B testing, production deployment, maintenance, and improvement.- Help maintain the team's ML Infrastructure, including production and experimentation environments.- Collaborate with software development engineers on scientific projects.A day in the lifeAs an Applied Scientist, you will contribute to the design and execution of a product roadmap that connects risk to the business. You will help build products and services centered around large language models to improve audit effectiveness and efficiency. The ideal candidate will have a strong foundation in data science and AI, with the potential to grow into an expert in production architecture. We're looking for a self-starter who is comfortable with some ambiguity, has strong attention to detail, and can work effectively in a dynamic environment. This role offers an exciting opportunity for a motivated individual to grow their skills in AI and contribute to impactful projects in a dynamic environment.About the teamInternal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience. BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse- Experience researching about machine learning, deep learning, NLP, computer vision, data science ...

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 ...

Come join Earth's most customer-centric company! Amazon is looking for an AI Security Engineer with strong insight and passion for security to ensure our AI applications are designed and built to the highest standards. Your mission is to secure the AI experiences of hundreds of millions of our customers. You bring AI security talent and expertise to a fast-paced environment where you will be relied upon to partner with our talented software development teams in building secure AI applications.As an AI Security Engineer, you will work with software development teams to ensure the security of AI applications. You will review code for security issues, build frameworks to help developers create more secure software, and adjust designs to improve protection. You will also perform security research, analyze bug reports, conduct risk assessments, develop automation, maintain documentation, and create tools that reduce security risks. Your work drives secure, reliable AI applications for Amazon's customers.Key job responsibilities* You will create, update, and maintain threat models for a wide variety of software projects. * You will perform manual and automated code review, primarily in Java, Python, and JavaScript* You will develop AI security automation tools. * You will perform AI security training and outreach for internal development teams. * You will provide AI security architecture and design guidance. * You will independently solve AI security problems that require novel methods or approaches. * You will influence your team's and partners' process, priorities, and choices to improve outcomes.About the teamAbout the teamThe AppSec AI team is tasked with empowering the business to create secure, trustworthy AI applications that our customers find delightful to use. We engage closely with the business from the outset of the development process to ensure that security considerations are integrated early and consistently. This collaborative approach positions us as partners with the business, minimizing the need for security trade-offs. Our close work with product teams allows us to participate in deep technical discussions and decisions. We prioritize obtaining the right training and career growth opportunities, enabling us to Dive Deep and Earn Trust with our development teams.About Amazon SecurityDiverse ExperiencesAmazon Security 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 Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & 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, training, 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- Knowledge of GenAI systems and associated security vulnerabilities and remediation techniques, including penetration testing and the development of exploits or equivalent- Experience with any combination of the following: threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security.- Bachelor's degree in computer science or equivalent, plus 3+ years of security engineering experience. ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative applied scientist with a strong background in responsible AI, deep learning and large language models (LLMs) techniques to develop and deploy world-class foundation models.Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources and collaborate with colleagues cross-AGI to achieve this objective. Your work will have a direct impact to AGI's business and customers through the foundation models we develop and depoly. About the teamOur team's mission is to develop and deploy industry-leading foundation models that set the benchmark for the industry, comply with the relevant responsible RAI policies and delight our customers in the process.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with responsible AI- Experience with deep learning techniques- Experience with LLM model training and fine-tuning ...

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

Join us in the evolution of Amazon’s Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.We are looking for an Applied Scientist II to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).Key job responsibilitiesAs an Applied Scientist on the team, you will:- Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.- Lead and execute roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.- Be responsible for communicating our science innovations to the broader internal & external scientific community.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 ...

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. 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!SB ResponseModel team's role is to support the prediction of Click Through Rates, View Rates, and Conversion Rates for Sponsored Brands. Our goal is to enhance advertising efficiency, improve the shopper experience, and promote SB product recognition. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations, facilitate business growth and promote technology innovation.As 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 productionizing 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.- Recruit Applied Scientists to the team and provide mentorship.Impact and Career GrowthYou 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 fundamentally 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.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 ...

Prime Video (PV) brings together the world’s best creators with the most passionate communities in a way that no other entertainment brand can. Not only are we a one-stop hub for distinctive, critically-acclaimed and award-winning original programming including TV series such as The Boys, The Marvelous Mrs. Maisel and Jack Ryan and movies like Air, Saltburn, The Idea of You, and Road House, but we offer a multi-dimensional experience that allows subscribers to fully immerse themselves in their fandom: to read the book, to listen to the soundtrack, to buy the costume, to replay live sports in real time, and more. And that breadth and connection to the Amazon family of brands, along with the support of a passionate and diverse global team, makes Prime Video a company where creators and makers of all kinds can build their future.As the Ads Product Strategist on the Prime Video Marketplace team, you will play a key role in shaping the advertising experience and monetization capabilities of third party Marketplace content. You will be responsible for defining Marketplace business objectives, authoring policies and feature proposals, driving adoption of solutions across Amazon product roadmaps, and maximizing the value of our technology investments. This role is complex, strategic and inherently cross-functional. You must have an understanding of ad-supported video distribution and the needs of customers and publishers alike in order to define business requirements and align solution pathways across partnership, legal, product and engineering teams. You will represent the Marketplace advertising vision as you innovate with stakeholders, navigate complex decisions, influence leadership and advocate for technology solutions.Throughout your work, you will need to demonstrate strategic and long-term thinking as well as strong cross-functional leadership, stakeholder management, and communication skills to effectively drive Marketplace advertising initiatives and deliver tangible business results.Key job responsibilities- Define and drive ad monetization objectives for third party channels- Organize and prioritize business requirements for operational planning and investment cycles - Translate deal requirements for engineering teams to align roadmaps against critical launches- Evaluate and communicate progress against key metrics, goals and financial results - Inform strategy, policy and operational procedures to drive product adoption and scale advertising capabilities globally- Author strategy briefs and incubate initiatives to drive innovation against long-term business strategiesA day in the lifeAs a Marketplace Ads Product Strategist, you will represent the business vision across the variety of product and engineering teams that support Marketplace experiences. You will spend your time evaluating streaming and distribution services, engaging with customers to understand their needs, and collaborating with stakeholders to advance business objectives. About the teamThe Product and Growth Strategy team is a newly organized team in Prime Video focused on driving customer outcomes for our Marketplace business lines: third party subscription channels, rent and buy titles, and live streaming TV. The team's mission is to evangelize the Marketplace business strategy and vision across stakeholder organization and maximize the value of our technology investments across our video Marketplace.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 5+ years of product or program management, product marketing, business development or technology experience- Experience with product cycles of 6+ months- Experience owning/driving roadmap strategy and definition- Experience with video distribution and ad monetization mechanisms- Experience managing programs across cross functional teams- Experience influencing internal and external stakeholders- Experience interpreting data and making business recommendations ...

Please note the following eligibility requirements to apply for this role:• Graduate from bachelor's degree program between 12/2024 and 6/2025, or graduated from bachelor’s degree program within past 24 months.• Ability to relocate nationwide. Relocation assistance provided, if eligible.• Ability to begin 40-hour/week, full-time employment in Fall 2025.• We are unable to offer visa sponsorship for this role.At Amazon, we are excited to offer undergraduate students the opportunity to launch into big careers with limitless possibilities. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better. Visit www.amazon.com/about to: • Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year. • Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn. • Learn more about our commitment to our communities, diversity and military veterans. • Learn more about our headquarters in Seattle as well as where we operate around the world.As you launch your career as a Risk Specialist at Amazon, you will focus on improving the success of the organization by diving deep into core areas of the company, partnering with Amazon’s cutting-edge businesses to identify areas of risk, analyze data, and solve real world problems. Risk Specialists add value and help protect Amazon in all areas of the business.A key component of this role is to dive deep to understand complex business processes and identify risks related to processes, regulatory compliance, organization, policy and technology. You will participate in planning, scoping, execution and reporting of assessments based on identified risks. Through your work you will help develop meaningful findings that help in communicating the risk to the business. In this capacity, you will gain valuable exposure to many organizations, processes, and systems within our global business.BASIC QUALIFICATIONS• Currently enrolled in a bachelor’s degree program in business, economics, operations, accounting, finance, pre-law, mathematics, or relevant field with a graduation conferral date between December 2024 and June 2025, or graduated from a bachelor’s degree program in the past 24 months.• Are 18 years of age or older. • Experience with Microsoft Excel ...

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.Must be eligible and available for a full-time (40h / week) 6-month internship between January 2025 to June 2025 or July 2025 to December 2025Within Amazon Robotics, the Robotics Deployment Engineering team oversees the installation, troubleshooting, and commissioning of Amazon Robotics equipment within new and existing fulfillment centers. This field engineering-based role requires technical skills related to the deployment of robotic equipment including work with mechanical, electrical, networking, and software systems during a deployment. Training is provided on the specific systems that the engineers will be working on, though candidates should possess existing knowledge on the basic operations of robotics and networked mechanical and electrical systems prior to taking the position.The robotics systems that the Deployment Engineering Co-Op will be deploying may be in various phases of a product life cycle. The candidate will be expected to work to develop process documentation and modify the existing processes in partnership with project and program managers to drive business performance and sustainability. Proven technical knowledge, a love of field work, and a keen interest in diving deep into the workings of the many robotics systems that Amazon uses are critical to success in this role.This position requires up to 75% travel. Valid US drivers license required.BASIC QUALIFICATIONS- Currently enrolled in college/university working towards a BS degree in Engineering of closely related STEM field and 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) 3-month internship between May/June 2025 to July/August 2025.- Experience working on mechanical, electrical, IT networked, or software systems. - Understanding of data collection, reporting processes, and ability to make data-driven decisions. - Ability to read technical drawings and/or reading CAD models. - Ability to troubleshoot robotics systems, perform testing, monitoring robotics system performance, etc. - Ability to read and develop technical documentation and process instructions. - Willingness to work primarily in a construction or warehouse environment in a field-based role and travel extensively across the US. - Must be proficient in standard office software tools and processes. ...

Unlock the Future with Amazon Science!Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Design, development and evaluation of highly innovative ML models for solving complex business problems.- Research and apply the latest ML techniques and best practices from both academia and industry.- Think about customers and how to improve the customer delivery experience.- Use and analytical techniques to create scalable solutions for business problems. BASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling ...

Are you passionate about developing generative AI, LLM and Vision solutions to revolutionize content understanding, automation, and robotics? Are you looking for opportunities to build and deploy them on real-world problems at a massive scale? At Amazon Fulfillment Technologies and Robotics, we are on a mission to build high-performance AI/Vision/NLP systems that understand and act to further improve our world-class customer experience - at Amazon scale.This role is with the Amazon Fulfillment Technologies (AFT) AI team, a group with deep expertise in developing and deploying AI solutions at scale to address complex business challenges within the Amazon Fulfillment Network. Our solutions leverage advanced techniques in machine learning, computer vision, and natural language processing, applied to a variety of data types, including text, event sequences, images, and video—often drawn from both existing and new hardware. The team is composed of scientists focused on creating innovative machine learning, NLP, and vision models, analysts who assess the business impact and performance of these solutions, and software engineers who build and maintain the necessary infrastructure, including ML pipeline setup, annotation pipelines, and library development. We are seeking an Applied Scientist with expertise in NLP (and preferably large language models). In this role, you will collaborate with a diverse team of scientists, engineers, product managers, and stakeholders to develop and scale innovative models across a wide range of initiatives. If you are a proactive, customer-focused individual with a passion for solving real-world problems through NLP, and thrive in a setting that values ownership and impact, this is the team for you.Key job responsibilities- Apply your expertise in AI/NLP/LLM to design, train, test and implement scalable solutions that address complex language-related challenges alongside our partner teams.- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.- Embrace a high level of research ambiguity that require creative, ambitious, and inventive solutions.- Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.- Be a self-starter with a bias towards independent problem solving.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- Experience in patents or publications at top-tier peer-reviewed conferences or journals- 1+ years of building models for business application experience- Experience applying theoretical models in an applied environment- Experience with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas- Expertise in NLP (and preferably large language models). ...