Seattle

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.For more information, please visit https://amazonundergradstudent.splashthat.com.Amazon is looking for hands-on, creative, detail-oriented, analytical, and highly motivated account representatives to help scale Amazons growing businesses.Key job responsibilities• Build solid relationships with internal and external stakeholders, displaying a dedication to delivering first-class service and solutions.• Analyze performance against key metrics to identify, recommend, and implement optimizations to increase efficiency, productivity, and return on investment.• Regularly communicate success metrics with external stakeholders to drive the business.• Leverage our suite of rich data, targeting and product channels to collaborate with the other teams in the development of tailored solutions that meet clients’ goals.• Troubleshoot any technical or implementation issues, collaborating with internal teams to develop quick and sound solutions.• Lead quarterly reports with stakeholders.• Drive operational excellence to ensure SLA adherence and client satisfaction.A day in the lifeYou will work with a range of Amazon Businesses and business partners to increase sales and marketing, improve product lifecycles, and ensure that it stays competitive within Amazon’s online space.To do this, you need to be extremely hands on, have an understanding of Amazon's display advertising products, technical/operational capabilities, and have the ability to synthesize analysis into a concise and compelling presentation.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 bachelor’s degree program within past 24 months. ...

Please note the following eligibility requirements to apply for this role:• Graduate from Bachelor's degree* program in Accounting between 12/2024 and 6/2025, or within past 24 months.• Ability to relocate to Greater Seattle Area. Relocation assistance provided, if eligible.• Ability to begin full-time employment on Monday, August 11, 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit https://amazon.jobs/content/en/faq/university-talent .*Or dual degree/Master’s degree program you are completing immediately following bachelor's degreeJob summary At Amazon, we are excited to offer undergraduate students the opportunity to launch into big careers with limitless possibilities. We know searching for a full-time role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. 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.Accounting - Financial Analyst: Amazon’s global accounting team is searching for financial accounting and audit professionals who consistently exceed expectations, who thrive in a challenging workplace, and who can actively contribute to our talented team. The global accounting organization supports our financial reporting, internal control, intercompany, and transfer pricing activities and also supports new business launches globally for Amazon in the consumer products, digital initiatives, merchant, operations, logistics, payments, and cloud computing lines of business.The program is designed to support the experience requirements for several professional licenses (e.g. CPA) and certifications (e.g., CIA, CISA), and develop a broad set of skills and experience within Accounting through a 2-year rotation program. The program offers structured training and development, networking and comradery opportunities. A Financial Analyst will support both Central Line (e.g. Financial Reporting, M&A, Intercompany), and Business-line Accounting (e.g. Inventory, Payments, Digital) throughout their time in the program. Participants will follow a 1 year/1 year rotation schedule, and be exposed to financial reporting, month-end close processes, internal controls, analytics, technical accounting, digital initiatives, and new business launches. Preferred applicants have exposure to operational accounting concepts of inventory, procurement, payables, receivables, and revenue. Successful candidates will bring diverse perspectives and varied experiences (whether from school, life, or past jobs).The Accounting position is a part of the broader Amazon Finance Rotation Program (AFRP). If you would like to learn more about the program, please review the previously recorded information session here: https://attendee.gotowebinar.com/recording/7746853706024523102 BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in a bachelor’s degree program in Accounting (or a dual degree/Master’s degree program you are completing immediately following bachelor's degree) with a graduation conferral date between December 2024 and June 2025, or within past 24 months. ...

Shape the Future of Cloud ComputingAre you a graduate student passionate about Automated Reasoning and its real-world applications? Join our team of innovators and embark on a journey to revolutionize cloud computing through cutting-edge automated reasoning techniques.Our tools are called billions of times daily, powering the backbone of Amazon's products and services. We are changing the way computer systems are developed and operated, raising the bar for security, durability, availability, and quality.As an Applied Science Intern, you'll have the opportunity to work alongside our brilliant scientists and contribute to groundbreaking projects. From distributed proof search and SAT/SMT solvers to program analysis, synthesis, and verification, you'll tackle complex challenges at the intersection of theory and practice, driving innovation and delivering tangible value to our customers.This internship is not just about executing tasks – you'll explore novel approaches to solving intricate automated reasoning problems. You'll dive deep into cutting-edge research, leveraging your expertise to develop innovative solutions. You'll work on deploying your solutions into production, witnessing the real-world impact of your contributions.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.Join us and be part of a team that is shaping the future of cloud computing through the power of Automated Reasoning. Apply now and unlock your potential!Amazon has positions available for Automated Reasoning Applied Science Internships in, but not limited to, Arlington, VA; Boston, MA; Cupertino, CA; Minneapolis, MN; New York, NY; Portland, OR; Santa Clara, CA; Seattle, WA; Bellevue, WA; Santa Clara, CA; Sunnyvale, CA.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.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Theorem Proving, Boolean Satisfiability Solvers, Bounded Model Checking, Deductive Verification, Programming/Scripting Languages, Abstract Interpretation, Automated Reasoning, Static/Program Analysis, Program SynthesisBASIC 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 or scripting language like Python, Java, C or C++- Experience with one or more of the following: Theorem Proving, Boolean Satisfiability Solvers, Bounded Model Checking, Deductive Verification, Programming/Scripting Languages, Abstract Interpretation, Automated Reasoning, Static/Program Analysis, Program Synthesis ...

Shape the Future of Visual IntelligenceAre you passionate about pushing the boundaries of computer vision and shaping the future of visual intelligence? Join Amazon and embark on an exciting journey where you'll develop cutting-edge algorithms and models that power our groundbreaking computer vision services, including Amazon Rekognition, Amazon Go, Visual Search, and more!At Amazon, we're combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement to solve real-world problems at an unprecedented scale. As an intern, you'll have the opportunity to build innovative solutions where visual input helps customers shop, anticipate technological advances, work with leading-edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers worldwide.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 Computer Vision Applied Science Internships in, but not limited to, Arlington, VA; Boston, MA; Cupertino, CA; Minneapolis, MN; New York, NY; Portland, OR; Santa Clara, CA; Seattle, WA; Bellevue, WA; Santa Clara, CA; Sunnyvale, CA. Key job responsibilitiesWe are particularly interested in candidates with expertise in: Vision - Language Models, Object Recognition/Detection, Computer Vision, Large Language Models (LLMs), Programming/Scripting Languages, Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, RoboticsIn 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 of visual intelligence. You will tackle challenging, groundbreaking research problems to help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers.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- Collaborate with Amazon scientists and cross-functional teams to develop and deploy cutting-edge computer vision solutions into production.- Dive into complex challenges, leveraging your expertise in areas such as Vision-Language Models, Object Recognition/Detection, Large Language Models (LLMs), Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, and Robotics.- Contribute to technical white papers, create technical roadmaps, and drive production-level projects that will support Amazon Science.- Embrace ambiguity, strong attention to detail, and a fast-paced, ever-changing environment as you own the design and development of end-to-end systems.- Engage in knowledge-sharing, mentorship, and career-advancing resources to grow as a well-rounded professional.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 or scripting language like Python, Java, C or C++- Experience with one or more of the following: Vision - Language Models, Object Recognition/Detection, Computer Vision, Large Language Models (LLMs), Programming/Scripting Languages, Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, Robotics ...

Revolutionize the Future of AI at the Frontier of Applied ScienceAre you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.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 LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.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 LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on recommendation systems, question answering, deep learning and generative AI.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- Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI.- Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible.- Explore the vast potential of generative AI and its applications across industries.- Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.- Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.- Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learningBASIC 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: Large Language Models, NLP, Natural Language Understanding, Generative AI, Transformers, Fine-tuning, Recommendation Systems, Deep Learning, Named Entity Recognition, Statistics, Neural Networks, Question Answering ...

Unleash Your Potential at the Forefront of AI InnovationAt Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can turn revolutionary theory into awe-inspiring reality. As an Applied Science Intern focused on Information and Knowledge Management in Machine Learning, you will play a critical role in developing the systems and frameworks that power Amazon's machine learning capabilities. You'll be at the epicenter of this transformation, shaping the systems and frameworks that power our cutting-edge AI capabilities. Imagine a role where you develop intuitive tools and workflows that empower machine learning teams to discover, reuse, and build upon existing models and datasets, accelerating innovation across the company. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications. 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: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting LanguagesIn this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.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: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages ...

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 ...

Unleash Your Potential as an AI TrailblazerAt Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications. 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: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender SystemsIn this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.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- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI communityBASIC 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: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages ...

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 a brilliant mind seeking to push the boundaries of what's possible with intelligent robotics? Join our elite team of researchers and engineers - led by Pieter Abeel, Rocky Duan, and Peter Chen - at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation.As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies. You'll dive deep into exciting research projects at the intersection of AI and robotics.This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning to tackle real-world problems and deliver impactful solutions.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 robotics and AI, where your contributions will shape the future of intelligent systems 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 in San Francisco, CA and Seattle, WA.The ideal candidate should possess:- Strong background in machine learning, deep learning, and/or robotics- Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR.- Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models.- Proficiency in Python, Experience with PyTorch or JAX- Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a teamJoin us at the forefront of applied robotics and AI, and be a part of the team that's reshaping the future of intelligent systems. Apply now and embark on an extraordinary journey of discovery and innovation!Key job responsibilities- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning- Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholdersBASIC 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 ...

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 June 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit https://amazonundergradstudent.splashthat.com.Job summary Amazon is looking for smart, analytical, and customer-obsessed undergraduates to help build a world-class shopping experience and serve as the leadership pipeline for our rapidly growing global retail business. This role provides an ideal start to a dynamic career path at Amazon for an ambitious candidate who is eager to drive a business. The ideal candidate will be ambitious, an effective communicator, and problem-solver. In this role, you will be driving the business results of your vendors and product subcategories. Your direct responsibility will be to manage performance of a product portfolio. Day-to-day tasks may include developing and growing vendor relationships, negotiating contracts, determining promotional strategy, developing marketing programs, inventory management, product launches, and conducting detailed analyses to identify growth opportunities driving sales and margin improvements -among other initiatives. You will also create best-in-class customer experiences, and play a critical role in managing strategic and established brands to drive profitability and topline performance for your category. The Customer Success Manager career path offers the opportunity for advancement into a variety of leadership roles including marketing/merchandising, vendor management, product management, and inventory management. BASIC QUALIFICATIONS• Experience with Microsoft Excel• Experience analyzing data and best practices to assess performance drivers• 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 ...

Do you have a passion for data? Are you matriculating in a Master’s or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.For more information on the Amazon Science community please visit https://www.amazon.scienceBASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)- Experience in data science, machine learning or data mining- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data- Must be actively enrolled in a Master's or PhD program ...

Are you a current MBA student who is ready to accelerate your career? The MBA Leadership Development Program (MLDP) hires, trains, and develops MBA graduate business talent within Amazon’s Stores organization. As a participant of this program, you will develop leadership skills and evolve into a leader at the world's most innovative company. By participating in Amazon's MBA Leadership Development Program, you'll have the chance to own a multi-million-dollar business, tackle unprecedented large-scale challenges with innovative solutions, and make decisions that influence the company's long-term free cash flow. This three-year initiative features multiple job rotations, incorporating functional job training, leadership workshops, mentorship and career advice, alongside exposure to an extensive network of peers, alumni, and leaders. MLDs spearhead important retail business strategies, deepen their comprehension of retail positions, and hone leadership skills necessary for managing sizable, intricate organizations.In a structured program, participants interact with senior leadership, gaining strategic insights and understanding decision-making aligned with long-term goals. This exposure bridges theory and practice, offering a comprehensive view of business operations. After 12 months, MLDs will prepare for rotation through career planning, interview prep, and networking events, which is supported through program benefits of 1:1 consultation, alumni insights, and MLD Program Team support.In this critical role within Amazon's MBA Leadership Development Program, you will navigate and resolve complex challenges, balancing immediate needs against future outcomes to streamline team operations and drive efficiency. Your strategic management of risks will not only enhance the resilience and growth of your category but also align vendor strategies with company objectives, utilizing market insights and feedback to maintain product relevance. Ideal candidates possess the ability to unravel the complexities at the root of problems, making informed strategic choices that safeguard long-term prosperity and mitigate risks within their categories. With the autonomy granted in this position, you'll enhance product assortments, negotiate effectively, and cultivate robust relationships with key selling partners, all while strategically managing risks. This role demands a combination of financial acumen, skilled negotiation, and strategic foresight in formulating joint business plans, all aimed at expanding categories and achieving overarching business goals.Key job responsibilities• Directly responsible for the sector's P&L, involving detailed financial analysis, audits, and handling escalations to drive growth and efficiency.• Utilizes deep financial insights for informed decision-making on pricing, selection, and customer convenience, enhancing business growth and satisfaction.• You address complex issues' root causes for long-term success and risk management, and seek opportunities to simplify or automate for scalable solutions.• Negotiates favorable terms with vendors, balancing strategic risk-taking with strong relationship maintenance to secure deals.• Influences vendor priorities to align with strategic objectives, using market trends and customer feedback to adapt offerings to evolving needs.A day in the lifeWhen MLDs are working as Senior Vendor Managers, they are responsible for owning the P&L. This consist of ongoing negotiations with vendors, creating action plans for top line and bottom-line growth, and driving growth and profit strategies. As Senior Product Managers, MLDs will be owning their products, creating roadmaps for launch plans, influencing leadership, and honing their document writing abilities. As a Senior Supply Chain Manager, MLDs will own the buying strategy for their vendor cohort, will work with internal teams to drive Supply Chain optimization initiatives, and work to drive cross functional buying strategies that marry the business’s needs with Amazon’s core initiatives. About the team• Roles for this position will be located at Amazon’s company headquarters in Seattle, WA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.• MLD roles in Seattle begin on July 21, 2025.• Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team.BASIC QUALIFICATIONSAre 18 years of age or olderGraduated in the last 24 months or currently enrolled in MBA program at the time of application with anticipated graduation dates between December 1, 2024 and June 30, 2025.3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA program, OR 3+ years of military work experience prior to starting your MBA program. ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship is as much about finding a company where you can picture yourself being successful as it is about finding the right role. 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.Senior Product Manager (PM): PMs are responsible for defining and supporting the building of desirable, feasible, viable, and sustainable products that meet customer needs over the product-market lifecycle. To do this, they collaborate with a wide range of people to identify and define customer needs, understand the Solution Context, and develop the Program Vision, Roadmap, and Features required to meet these needs.PMs work cross-functionally to drive ideas from conception to execution, develop business models and marketing plans, define and analyze success metrics, manage strategic projects, and own the product end-to-end. PMs ultimately become general managers responsible for running large business segments and organizations. Examples of organizations where PMs may work include (but aren’t limited to): North America Consumer (such as Retail Systems, Customer and Brand Protection, Marketplace Sales, International Retail, Hardlines, and Softlines), Prime and Delivery Experience, Logistics & Transportation, and more!Key job responsibilities- Developing and executing scalable business plans and product requirements – being a business owner.- Driving cross-functional projects to completion.- Developing strategies based on data analysis.- Communicating effectively with senior management.- Maintaining an intense customer-focus.- Balancing strategic thinking with tactical, detailed execution.- Working cross functionally with teams throughout the company.About the team- Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.- Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team. - Internship start dates will be between May- June 2025 for a 12-week, consecutive internship.- For more information, please visit https://amazon.jobs/content/en/career-programs/university/mbaBASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2025 and September 30, 2026.- 3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. 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.Sr. Marketing Managers (MM): MMs at Amazon drive general marketing, product marketing or functional marketing initiatives for organizations including (but not limited to): Amazon Music, Prime Video, Alexa Devices, Kindle, Amazon Web Services (AWS), North America Consumer (such as Retail Systems, Customer and Brand Protection, Marketplace Sales, International Retail, Hardlines, and Softlines) and Prime. They work cross-functionally to develop marketing plans, define success metrics, manage strategic projects, and own business outcomes. MMs ultimately become marketing leaders responsible for large business segments and organizations.Key job responsibilities• Sr. General Marketing Managers can be responsible for developing mass brand campaigns, integrated marketing programs, annual marketing plans, creative strategies and go-to-market.• Sr. Product Marketing Managers can be responsible for developing marketing plans, positioning, pricing, messaging, funnel optimization and lifecycle marketing. • Sr. Functional Marketing Managers can be responsible for developing global paid media plans, cross-channel outbound campaigns, merchandising programs and promotion strategies.About the team• Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.• Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team. • Internship start dates will be between May-June 2025 for a 12-week, consecutive internship. BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2025 and September 30, 2026.- 3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

At Amazon, we are excited to offer graduate students (MBA/Masters) the opportunity to launch into big careers with limitless possibilities. We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. From the start, you’ll do meaningful work alongside peers and leaders – diving deep into projects, programs, and services that impact millions of customers. At Amazon, you're given the opportunity to chart your own path by owning your development, your career, and your future.PMTs at Amazon are the end-to-end owners of our software offerings, hardware, and technical services. PMTs leverage their technical depth to partner closely with engineers in defining a vision and building a roadmap to launch technical products that play a key role in making Amazon Earth’s most customer centric company. With a customer base that can span across retail shoppers, developers, and business leaders. PMTs are set on a path to become leaders of business segments or technical organizations.Key job responsibilities-Developing and executing scalable business plans and product requirements – being a business owner-Driving cross-functional projects to completion-Developing strategies based on data analysis-Communicating effectively with senior management-Maintaining an intense customer-focus-Balancing strategic thinking with tactical, detailed execution-Working cross functionally with teams throughout the companyA day in the lifeThe primary role of a PMT within Amazon is to assume end-to-end product ownership over one of our technical product offerings. PMTs are expected to dive deep into the technology both from a product and customer perspective, working with software engineers and business partners to define, build, launch and grow new technology-driven products and services. With input from business stakeholders, they develop business and product requirements, prioritize needs, and manage milestones and overall roadmap. Examples of organizations where PMTs may work include (but aren’t limited to): Amazon Web Services (AWS), Prime Video, Alexa, Game Services, and Supply Chain Technologies.About the team-Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.-Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team.-Internship start dates will be between May-June 2025 for a 12-week, consecutive internship.BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2025 and September 30, 2026.- 3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. 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.Senior Retail Vendor Manager (VM): Amazon is looking for a passionate candidate with the proven ability to build strategic, long term business relationships within the Amazon Stores organization. The candidate will be responsible for monitoring and reacting to industry trends, within a determined Amazon Stores retail business, and own the top and bottom lines of the P&L. They will develop selection and categories, deliver innovative growth solutions and work with internal teams to deliver the best customer experience. The candidate must be a thoughtful, high-energy, self-starter, with strong business acumen, acute analytical skills, and the ability to work with teams internally and externally. The candidate must thrive in a fast-paced, data-driven environment. The candidate will work with vendors of all sizes – and must have the leadership presence and communication skills to represent Amazon at all levels of these organizations. They will need to be able to work across multiple internal teams, at high levels of leadership, to address customer experience issues within the category. The candidate must also possess strong analytical acumen and be comfortable drawing metric-based conclusions while applying a customer centered lens to decisions.Key job responsibilities-Conduct financial analysis of business opportunities to meet and exceed revenue and profitability targets by executing annual and ongoing vendor negotiations.-Have an understanding of customer needs and use that knowledge to advocate for, and drive delivery of, improvements that provide Amazon customers with an unparalleled shopping experience.-Build vendor/brand relationships - be the primary point of contact for vendor selection on-boarding, escalations, and negotiations.-Have a thorough understanding of the industry, business trends, events, and continually monitor both industry and competitor developments.-Maximize Amazon’s business and financial profitability through selection optimization and expansion opportunities.-Coordinate across cross-functional teams and communicate with internal and external stakeholders, all while meeting tight deadlines.About the team- Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.- Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team. - Internship start dates will be between May-June 2025 for a 12-week, consecutive internship.- For more information, please visit https://amazon.jobs/content/en/career-programs/university/mba BASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum ...

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 ...

Do you have a strong science background and want to help build new technologies? Do you have a physics background and want to help build and test superconducting circuits? Join the quantum revolution at Amazon and be part of a team that's pushing the boundaries of what's possible in quantum computing and quantum technologies. As a Research Science Intern focused on Quantum Technologies, you'll have the opportunity to work alongside leading experts in the field, contributing to cutting-edge research and driving innovation in areas such as quantum algorithms, quantum simulation, superconducting qubits, quantum key distribution, and quantum optics.We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of Amazon's customers. Research interns at Amazon work passionately to apply cutting-edge advances in technology to solve real-world problems. As an 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, and implement prototypes.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 Quantum 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 the following skills: Experience with working on commercial quantum computation at hardware, software, or consulting companies. Experience with AWS technologies like EC2, S3, and Cloudwatch. Familiarity with using data visualization tools. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. Quantum Algorithms, Quantum Simulators, Superconducting Qubits, OpticsIn this role, you gain 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 life- Conduct research and develop new quantum algorithms to solve complex computational problems- Design and implement quantum simulation models to study the behavior of quantum systems- Investigate the properties and performance of superconducting qubits, a promising platform for building large-scale quantum computers- Explore the application of quantum optics principles to develop novel quantum sensing and communication technologiesBASIC QUALIFICATIONS- Are enrolled in a PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience with any programming language such as Python, Java, C++- Experience with one or more of the following: Quantum Algorithms, Quantum Simulators, Superconducting Qubits, Quantum Key Distribution , Optics ...

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks. By applying to this position, your application will be considered for all locations we hire for in the United States.Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the "secret sauce" behind AWS's success with development centers in the U.S. and Israel, and Amazon is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.If this sounds exciting to you - come build the future with us!Key job responsibilitiesInnovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safetyWriting requirements capturing documents, design documents, integration test plans, and deployment plansCommunicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholdersBASIC QUALIFICATIONS- Currently enrolled in a Bachelor’s degree program or higher majoring in Computer Science, Computer Engineering, Electrical Engineering or related technical field with anticipated graduation date of December 2025 or later- Programming experience in internship or coursework with programming language such as Python and/or C or C++- Candidates with strong interests and academic qualifications/research focus in two of the following: 1. Distributed systems, algorithms (MPI, NCCL, or similar), 2. Operating Systems, 3. Linux system programming/services, 4. Computer architecture, 5. System Development, 6. Complexity analysis ...