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Amazon is seeking enthusiastic and engaging Tour Leaders to lead immersive 90-minute in-person tours of our state-of-the-art Robotics Fulfillment Centers. As a Tour Leader, you will play a crucial role in showcasing Amazon's cutting-edge technology, innovative processes, and dedicated workforce to a diverse audience. This position offers a unique opportunity to highlight Amazon's rich history, our commitment to being Earth's Best Employer, and our ambitious Climate Pledge goals. We are seeking an enthusiastic individual with good communication skills and attention to detail in providing informative and engaging tours of their fulfillment center. The ideal candidate is passionate about technology, sustainability, and creating exceptional customer experiences.At the end of each day, you'll review feedback from tour participants and contribute to continuous improvement efforts for the tour program.Key job responsibilities1. Conduct multiple 90-minute tours per day, providing an engaging and informative experience for visitors.2. Develop a deep understanding of Amazon's fulfillment processes, robotics technology, and company history.3. Effectively communicate complex technical concepts to audiences with varying levels of technical knowledge.4. Highlight Amazon's commitment to employee development, safety, and well-being.5. Educate visitors about Amazon's sustainability initiatives and the Climate Pledge.6. Ensure tour groups adhere to all safety protocols and facility regulations.7. Maintain positive site relationships and participate in site & community engagement activities8. Staff and train Ambassador & Proxy teams 9. Respond to questions from tour participants accurately and professionally.10. Collaborate with fulfillment center teams to stay updated on the latest developments and processes.11. Maintain and update tour content to reflect new technologies and company initiatives.12. Collect and report feedback from tour participants to improve the overall experience.A day in the lifeA Day in the Life: As a Tour Guide at an Amazon Robotics Fulfillment Center, your day will be dynamic and engaging. You'll start by reviewing the day's tour schedule and preparing any necessary materials. Before each tour, you'll greet visitors, provide safety briefings, and distribute required protective equipment.During the tours, you'll guide groups through various sections of the fulfillment center, explaining the intricate dance between human associates and robotic systems. You'll showcase how customer orders are processed, picked, packed, and shipped with incredible efficiency. Throughout the tour, you'll weave in stories about Amazon's history, our commitment to employee growth, and our sustainability efforts.Between tours, you'll have time to refresh your knowledge, update tour content, and collaborate with colleagues on our global team. You may also participate in training sessions to enhance your skills and stay current on Amazon's latest innovations.About the teamYou'll be joining a passionate team of Tour Leaders and program managers around the world that are dedicated to showcasing Amazon's innovation and commitment to customer obsession. Our team works closely with various departments within the fulfillment center, including operations, robotics, human resources, and sustainability teams. We're a collaborative group that values creativity, continuous learning, and the ability to inspire others. As part of this team, you'll have the opportunity to contribute to the development of tour content and help shape the public's perception of Amazon's cutting-edge fulfillment operations.This role offers an exciting opportunity to be at the forefront of Amazon's technological advancements while developing valuable public speaking and customer engagement skills. Join us in sharing Amazon's story and inspiring the next generation of innovators!BASIC QUALIFICATIONS• Speak, write, and read fluently in English • Strong written and oral communication skills ...

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. This role is a 12 week internship to join AR full time (40 hours/week) from May/June- August 2025. This Amazon Robotics Intern opportunity will be based either 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.The Advanced Product Quality Engineering (APQE) organization is seeking a talented and motivated Product Quality Engineer Intern with a desire to work with a portfolio of ground-breaking advanced technologies and interface with complex and state-of-the-art manufacturing environments. You will be responsible for working with cross functional technical teams to solve problems and deploy product improvements. You will actively work with hardware, production, and external vendors to achieve the highest quality products at the lowest cost. This is an exciting opportunity to join a talented team, work on leading edge robotic and advanced technology solutions, and drive improvements and effectiveness of operations while building your career for future opportunities.Key job responsibilitiesThe Product Quality Engineer Intern will be responsible for:* Partner with stakeholders in requirements development for new product development.* Identify continuous improvement opportunities and drive team continuous improvement initiatives.* Quality defect evaluation and internal escalation/coordination. * Assist in failure analysis.* Assist in internal quality investigations and CAPAs.* Supplier development and communication to reduce defects.* Work with field quality and maintenance engineering to triage issues.* Present findings to leadership and at Quarterly Business Reviews.* Assist in data collection and visualization.BASIC QUALIFICATIONS- Data analysis skillset and experience in using visualization tools such as Tableau- Previous experience with databases, SQL and/or scripting language(s)- Understanding of metrics, process capabilities, LEAN, databases, data collection and mining- Currently enrolled in a Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, Manufacturing, Quality Engineering or related education- Currently enrolled in College/University and must have at least one semester/term/quarter of school left to complete after the end of the internship- December 2025 graduation date or later- Must be eligible and available for a full-time (40h / week) 12 week internship from May/June- August 2025 ...

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 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. ...

Amazon AI is looking for world class scientists to join its AWS AI. This group is entrusted with developing core natural language processing, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS Q, a generative AI–powered assistant for enterprise computing, and work with other acclaimed engineers and world famous scientists.As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

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

Amazon Publishing is seeking an innovative, passionate, market-savvy Acquisitions Editor with a focus on romance novels for the Montlake imprint. The ideal candidate should be a self-starter with high judgement, exceptional communication skills, meticulous attention to detail, strong editorial and project management experience, and established industry relationships. You will be responsible for discovering and acquiring exceptional content, managing author and agent relationships, and collaborating with marketing, publicity, production, design, author relations, and IP teams to deliver quality books and world-class author experiences. This is a multi-faceted job in a fast-paced, high productivity environment that requires flexibility, forward-thinking, and a sense of humor. Position is based in Seattle office with possibility of New York office for the right candidate.Key job responsibilitiesIdentify, evaluate, and develop submissions, projects, and proposals to acquire primarily for Montlake, including: Monitoring trend and sales data with keen eye for romance and commercial fiction Working closely with authors to develop their work and careers Working closely with internal teams to shepherd work from manuscript through publication and beyond Building and maintaining strong relationships with literary agentsAbout the teamAmazon Publishing is the full-service publishing arm of Amazon. Our mission is to invent new and better ways to connect authors and readers.BASIC QUALIFICATIONS Strong track record of discovering, developing, and publishing bestselling titles and authors Strong negotiation skills along with knowledge of standard publishing contracts and P&Ls Strong project management experience and ability to hit deadlines Strong written and verbal communication skills Demonstrated analytical thinking paired with excellent editorial sensibility Demonstrated ability to work effectively within a team setting Fluent in all office applications including Word, Excel, Outlook, Salesforce ...

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 ...

We are looking for a leader of an R&D team in cutting-edge LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions.It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide!BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Master's degree ...

Amazon is investing heavily in building a world class advertising business and we are responsible for 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. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Sponsored Brands Advertiser Control team is a versatile environment, with a wide variety of challenges. We guide advertisers to make informed decisions by sharing insights and forecasts. We help advertisers deliver effective campaigns automatically by optimizing bids and targets on behalf of them. We enable advertisers to achieve brand advertising goals with maximum efficiency. We look at mega size data from both retail and advertising space, and coming up with ML and DL based science solutions through multiple products. In this role you will: - Research and build innovative machine learning and deep learning models utilizing the latest technologies such as LLM to provide personalized targeting, real-time forecasting and simplify campaign creation and management- Develop optimization solutions to automate bidding , targeting and budgeting on behalf of advertisers - Perform hands-on big data analysis and modeling to develop insights that increase advertiser monetization and merchandise sales without compromising shopper experience. - Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Write production code to bring models into production. - Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. - Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.Why you love this opportunity Amazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of self-service performance 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 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 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. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us 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 ...

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 ...

External job descriptionPlease note the following eligibility requirements to apply for this role: 1. Graduate from Bachelor's degree program between 12/2024 and 6/2025, or within past 24 months.2. Ability to relocate nationwide. Relocation assistance provided, if eligible. Job locations: Seattle, WA and New York City. 3. Ability to begin 40-hour/week, full-time employment in Seattle by June 2025.4. We are unable to offer visa sponsorship for this role5. Ability to travel for the job 0-25% For more information, please visit https://amazon.jobs/content/en/career-programs/university/undergraduate-non-tech Join Amazon's dynamic environment as a Supply Chain Manager FTE, where you will play a crucial role in shaping and optimizing various facets of our operations, concentrating on optimizing and managing the flow of goods, information, or services within the supply chain network. As a Supply Chain Manager, you'll take end-to-end ownership of operations, emphasizing capacity planning, logistics optimization, network design, and analysis of operational efficiency. Amazon Fresh is a business focused on Amazon's grocery offerings. Our focus as a team is on creating comprehensive services that give our customer's time back in their busy days and upholding high standards across the quality of our food we offer, the shopping experiences we enable, and the impacts we make on the world. In this team more specifically, you will be responsible for ensuring we have the right products at the right quantities within our Amazon Fresh locations, a critical area to delight customers and the foundation of our business. Key job responsibilities1. Concentrate on optimizing and managing the flow of goods, information, or services within the supply chain network. 2. Balance supply and demand, assess and improve the efficiency of distribution networks, warehouses, or logistics operations. 3. Analyze and synthesize data to identify opportunities for enhancing customer experiences and operational efficiency in network capacity. 4. Collaborate with stakeholders across different functions, influencing and facilitating agreements to achieve shared network capacity goals. 5. Manage cross-functional network capacity initiatives, ensuring continuous improvement and adherence to lean philosophy at scale. 6. Identify and deliver operational improvement opportunities in network capacity, focusing on inventory management, logistics strategy, and transportation optimization. 7. Monitor and optimize key network capacity metrics to ensure the smooth flow of goods or services through the supply chain network.BASIC QUALIFICATIONS1. Currently pursuing a Bachelor's degree in Supply Chain, Industrial Engineering or related field, with a graduation conferral date between December 2024 and June 2025 or within past 24 months2. Knowledge of Excel (Pivot Tables, VLookUps) ...

Shape the Future of Human-Machine InteractionAre you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies. Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds.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 Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA. Key job responsibilitiesWe are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning.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 Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on natural language processing, speech recognition, text-to-speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer-based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more.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 novel, scalable algorithms and modeling techniques that advance the state-of-the-art in natural language processing, speech recognition, text-to-speech, question answering, and conversational modeling.- Tackle groundbreaking research problems on production-scale data, leveraging techniques such as LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling.- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning.- Thrive in a fast-paced, ever-changing environment, embracing ambiguity and demonstrating strong attention to detail.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: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.At AWS Health AI, we leverage AI to revolutionize healthcare and if you are passionate to make a global-scale difference in Health, we have an opportunity for you. AWS Health AI is seeking a inventive and talented Applied Scientist to join forces in the area of Natural Language Processing, Genomics, Medical Imaging or Biomedical. We are on a mission to use Gen-AI and build new innovative solutions for Healthcare and Life Sciences users. You will be involved in the entire product development cycle including customer discovery, experimentation, design, prototyping. Whats cool? You will collaborate with team of ML-focused SDEs to productionalize these solutions. Our ideal candidates thrives in ambiguity, build collaborative relationships, moves fast, and are passionate about meaningful work. They will have the technical skills to design and build complex distributed systems that runs at AWS scale. They prefer working on small, focused teams, own their product, and love to pitch in anywhere to get the job done. They lead by example and the team naturally gravitate towards them because of their engineering expertise and decision-making ability. They can communicate effectively with a wide variety of audiences and are comfortable pitching new ideas.We are looking for candidates who thrive in an exciting, fast-paced environment and who have a strong personal interest in learning, researching, and creating new technologies with high customer impact. You will have an opportunity to influence product and leaders. As an Applied Scientist you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements and help maintain a highly scalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products.Prior domain knowledge in speech, natural language processing, or computer vision is strongly preferred; solid knowledge of fundamentals of statistics, machine learning, and deep learning is required. Candidates should possess strong software engineering skills and several years of industry experience.As a Senior Applied Scientist, you guide and develop other Scientists in the team and you influence the product vision and roadmap via insightful innovation and research. You are able to transform ideas into production-scale delivery.Key job responsibilities- Applying latest deep learning and natural language processing techniques to ship new features for our customer- Convert ambiguous business questions into precise science problems- Regularly ship deep learning models and natural language processing models that run at AWS scale- Collaborate with engineers, clinical experts and product managers to deliver your solutionsWhat You'll Do:* Collaborate with a team of Clinical experts, researchers and engineers in solving complex healthcare challenges* Develop novel algorithms and modeling techniques for multimodal systems* Apply latest deep learning, Gen AI and natural language processing techniques to build model-based solutions in Health domain* Collaborate with cross-functional teams to create impactful products and services. Convert ambiguous business questions into precise science problem, and share insights/learnings from your experimentation to help product direction.* Conduct cutting-edge research and publish in top-tier conferences and journalsWhat We're Looking For:* Strong background in deep learning and multimodal systems* Passion for applying AI to healthcare challenges* Ability to lead and mentor research teams* Experience in developing scalable, secure AI/ML systems* Expertise in areas such as medical imaging, medical notes, ontologies, genomics, or clinical decision supportAbout the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon.com is broadly recognized as a leader in providing exceptional Customer Service globally. At Amazon, we are driven by innovation and customer obsession, which is deeply ingrained in everything we do, especially in the Customer Engagement Technology (CET) department. Leveraging conversational Artificial Intelligence (AI) and machine learning (ML) technology, we strive to predict and resolve customer issues through self-service and automation solutions.The CET team leads AI and Large Language Models (LLM)-driven customer experience transformation using task-oriented dialogue systems. We develop multi-modal, multi-turn, goal-oriented dialog systems that can handle customer issues at Amazon scale across multiple languages. These systems are designed to adapt to changing company policies and invoke correct Application Programming Interfaces (APIs) to automate solutions to customer problems. Additionally, we enhance associate productivity through response/action recommendation, summarization to capture conversation context succinctly, retrieving precise information from documents to provide useful information to the agent, and machine translation to facilitate smoother conversations when the customer and agent speak different languages.Key focus areas include:- Task-Oriented Dialog Systems: Building reliable, scalable, and adaptive LLM-based agents for understanding intents, determining eligibilities, making API calls, confirming outcomes, and exploring alternatives across hundreds of customer service intents, while adapting to changing policies.- Lifelong Learning: Researching continuous learning approaches for injecting new domain knowledge while retaining the model's foundational abilities and preventing catastrophic forgetting.- Agentic Systems: Developing a modular agentic framework to handle multi domain conversations through appropriate system abstractions.- Complex Multi-turn Instruction Following: Identifying approaches to guarantee compliance with instructions that specify standard operating procedures for handling multi-turn complex scenarios.- Inference-Time Adaptability: Researching inference-time scaling methods and improving in-context learning abilities of custom models to enable real-time adaptability to new features, actions, or bug fixes without solely relying on retraining.- Context Adherence: Exploring methods to ground responses in specific customer attributes, account information, and behavioral data to prevent hallucinations and ensure high-fidelity responses.- Policy Grounding: Investigating techniques to align bot behavior with evolving company policies by grounding on complex, unstructured policy documents, ensuring consistent and compliant actions.- End-to-End Dialog Policy Optimization: Researching alignment approaches to optimize successful dialog completions.- Scalable Evaluations: Developing automated approaches to evaluate the quality of experience, and correctness of agentic resolutions.Key job responsibilities- Research and development of LLM-based chatbots and conversational AI systems for customer service applications.- Design and implement state-of-the-art Natural Language Processing (NLP) and ML models for tasks such as language understanding, dialogue management, and response generation.- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.- Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.- Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.- Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.- Collaborate with internal and external research communities, participate in conferences, and contribute to publications to advance the field.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt to a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative and learning environment.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamJoin our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and on associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- Master's degree- 2+ years of building machine learning models or developing algorithms for business application experience ...

Amazon is seeking enthusiastic and engaging Tour Leaders to lead immersive 90-minute in-person tours of our state-of-the-art Robotics Fulfillment Centers. As a Tour Leader, you will play a crucial role in showcasing Amazon's technology, innovative processes, and dedicated workforce to a diverse audience. This position offers a unique opportunity to highlight Amazon's rich history, our commitment to being Earth's Best Employer, and our ambitious Climate Pledge goals. We are seeking an enthusiastic individual with good communication skills and attention to detail in providing informative and engaging tours of their fulfillment center. The ideal candidate is passionate about technology, sustainability, and creating exceptional customer experiences.At the end of each day, you'll review feedback from tour participants and contribute to continuous improvement efforts for the tour program.Key job responsibilitiesKey Job Responsibilities:1. Conduct multiple 90-minute tours per day, providing an engaging and informative experience for visitors.2. Develop a deep understanding of Amazon's fulfillment processes, robotics technology, and company history.3. Effectively communicate complex technical concepts to audiences with varying levels of technical knowledge.4. Highlight Amazon's commitment to employee development, safety, and well-being.5. Educate visitors about Amazon's sustainability initiatives and the Climate Pledge.6. Ensure tour groups adhere to all safety protocols and facility regulations.7. Maintain positive site relationships and participate in site & community engagement activities8. Staff and train Ambassador & Proxy teams 9. Respond to questions from tour participants accurately and professionally.10. Collaborate with fulfillment center teams to stay updated on the latest developments and processes.11. Maintain and update tour content to reflect new technologies and company initiatives.12. Collect and report feedback from tour participants to improve the overall experience.A day in the lifeAs a Tour Guide at an Amazon Robotics Fulfillment Center, your day will be dynamic and engaging. You'll start by reviewing the day's tour schedule and preparing any necessary materials. Before each tour, you'll greet visitors, provide safety briefings, and distribute required protective equipment.During the tours, you'll guide groups through various sections of the fulfillment center, explaining the intricate dance between human associates and robotic systems. You'll showcase how customer orders are processed, picked, packed, and shipped with incredible efficiency. Throughout the tour, you'll weave in stories about Amazon's history, our commitment to employee growth, and our sustainability efforts.Between tours, you'll have time to refresh your knowledge, update tour content, and collaborate with colleagues on our global team. You may also participate in training sessions to enhance your skills and stay current on Amazon's latest innovations.About the teamYou'll be joining a passionate team of Tour Leaders and program managers around the world that are dedicated to showcasing Amazon's innovation and commitment to customer obsession. Our team works closely with various departments within the fulfillment center, including operations, robotics, human resources, and sustainability teams. We're a collaborative group that values creativity, continuous learning, and the ability to inspire others. As part of this team, you'll have the opportunity to contribute to the development of tour content and help shape the public's perception of Amazon's fulfillment operations.This role offers an exciting opportunity to be at the forefront of Amazon's technological advancements while developing valuable public speaking and customer engagement skills. Join us in sharing Amazon's story and inspiring the next generation of innovators!BASIC QUALIFICATIONS• Speak, write, and read fluently in English • Strong written and oral communication skills ...

Are you interested in helping to shape the era of Artificial Intelligence (AI)? AI is transforming entire industries and fundamentally changing the way we live and work. AWS is the place where organizations can build AI technology securely, responsibly, and with confidence. AWS is positioned at the forefront of GenAI with the deepest set of services and features as the leader in cloud. AWS is seeking an experienced Senior Account Manager to lead and continue to expand the business with strategic GenerativeAI startups.The Account Manager will be a key member of the team responsible for providing business leadership and creative direction for this fast-paced and evolving technology working with strategic GenAI startups. You will build and maintain broad relationships in the account, develop and manage opportunities, and lead a large team of extended resources. You will define an exec relationship strategy within the account, including building a strong working relationship with the AWS senior leadership team for executive sponsorship, executive business reviews, and shaping go-to-market opportunities.Do you look around corners for ways to engage and service customers? Are you passionate about using technology to solve business problems that have big customer impact?Come build the future with us.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.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Key job responsibilitiesExperience as a quota carrying technology field sales individual, or business development professional.Experience increasing technology adoption and creating long term transformational account strategies.Experience working with and presenting to C-level executives, IT, and other lines of business.Demonstrated success in identifying, developing, negotiating, and closing large-scale technology projects to for GenerativeAI StartupsAbout the teamDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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 in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 5+ years of full sales cycle, technology sales or equivalent business development, sales engineering/consulting or equivalent experience- Bachelor's degree or equivalent ...

Come join the AWS AI science team in building the next generation models for intelligent automation.AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.We are located in the USA (Seattle, Pasadena, Bay Area).About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The Advertising Incrementality Measurement (AIM) team is looking for an Applied Scientist II with experience in causal inference, experimentation, and ML development to help us expand our causal modeling solutions for understanding advertising effectiveness. Our work is foundational to providing customer-facing experimentation tools, furthering internal research & development, and building out Amazon's new Multi-Touch Attribution (MTA) measurement offerings. Incrementality measurement is a lynchpin for the next generation of Amazon Advertising measurement solutions and this role will play a key role in the release and expansion of these offerings.Key job responsibilities* Partner with economists and senior team members to drive science improvements and implement technical solutions at the state-of-the-art of machine learning and econometrics* Partner with engineering and other science collaborators to design, implement, prototype, deploy, and maintain large-scale causal ML models.* Carry out in-depth research and analysis exploring advertising-related data sets, including large sets of real-world experimental data, to understand advertiser behavior, highlight model improvement opportunities, and understand shortcomings and limitations.* Define data quality standards for understanding typical behavior, capturing outliers, and detecting model performance issues.* Work with product stakeholders to help improve our ability to provide quality measurement of advertising effectiveness for our customers.About the teamAIM is a cross disciplinary team of engineers, product managers, economists, data scientists, and applied scientists with a charter to build scientifically-rigorous causal inference methodologies at scale. Our job is to help customers cut through the noise of the modern advertising landscape and understand what actions, behaviors, and strategies actually have a real, measurable impact on key outcomes. The data we produce becomes the effective ground truth for advertisers and partners making decisions affecting $10s to $100s of millions in advertising spend. 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 with ML modeling toolkits such as sklearn, PyTorch, Tensorflow, etc.- Experience with data exploration and querying technologies such as pandas, SQL, and Spark.- Very strong written communication skills. An ideal candidate needs to be able to distill complex technical details into tangible insights for leaders and stakeholders. ...

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

Do you enjoy solving challenging problems and driving innovations in research? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers.As a Research Science intern focused on Operations Research and Optimization intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes and work with massive datasets. As you navigate through complex algorithms and data structures, you'll find yourself at the forefront of innovation, shaping the future of Amazon's fulfillment, logistics, and supply chain operations.Imagine waking up each morning, fueled by the excitement of solving intricate puzzles that have a direct impact on Amazon's operational excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions. You'll then immerse yourself in a world of data, leveraging your expertise in optimization, causal inference, time series analysis, and machine learning to uncover hidden patterns and drive operational efficiencies.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.Amazon has positions available for Operations Research Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Optimization, Causal Inference, Time Series, Algorithms and Data Structures, Statistics, Operations Research, Machine Learning, Programming/Scripting Languages, LLMsIn this role, you ain hands-on experience in applying cutting-edge analytical techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights to drive operational excellence, we encourage you to apply.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 lifeDevelop and apply optimization, causal inference, and time series modeling techniques to drive operational efficiencies and improve decision-making across Amazon's fulfillment, logistics, and supply chain operationsDesign and implement scalable algorithms and data structures to support complex optimization systemsLeverage statistical methods and machine learning to uncover insights and patterns in large-scale operations dataPrototype and validate new approaches through rigorous experimentation and analysisCollaborate closely with cross-functional teams of researchers, engineers, and business stakeholders to translate research outputs into tangible business impactBASIC QUALIFICATIONS- Are enrolled in a PhD in operations research, applied mathematics, theoretical computer science, or equivalent- 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 ...