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Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. 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.We hire for multiple disciplines Software and Hardware engineers including but not limited to: compiler engineer, machine learning engineer, runtime engineer, performance engineer and ML chip accelerator, ASIC, physical designs. Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.If this sounds exciting to you - come build the future with us!Key job responsibilities• Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety• Writing requirements capturing documents, design documents, integration test plans, and deployment plans• Communicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholdersBASIC QUALIFICATIONS- Currently enrolled in a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2025 and September 2026- Programming experience in internship or coursework with programming language such as Python and/or C or C++.- Candidates with strong interests and academic qualifications/research focus in two of the following: o Distributed systems o Machine Learning - Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms o Container o Operating System - Linux system programming/services ...

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- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.The Anti-DDoS team is the frontline defense for all DDoS threats world-wide, against all Amazon & AWS customers and services. Our architecture must be highly scalable, performant, and continually evolve against threats as they emerge. The Anti-DDoS team is looking for software engineers to solve incredibly challenging low-level networking problems, deliver new capabilities, and continue to scale our platform to meet the increasing needs of our customers world-wide. The ideal candidate has strong technical background in computer networking and programming experience in Java, C, C++. Knowledge of DPDK is a definite plus! Candidates who enjoy computer networking, deep packet analysis, low-level, performance sensitive, systems programming and have deep analytical skills and excellent communication skills will find the Anti-DDoS team to be inline with their interests and desire for challenge. You must be able to highly collaborate, be creative, analytical and thrive in fast-paced environments, all while interacting with highly technical software and networking development teams.About the team*Why AWS*Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

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.The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As a Machine Learning or Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 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 ...

Please note the following eligibility requirements to apply for this role:• Graduate from Bachelor's degree program between 12/2025 and 6/2026.• Ability to relocate nationwide. Relocation assistance provided, if eligible.• Ability to complete 12-week internship between May – August 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit https://amazonundergradstudent.splashthat.com.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- Work 40 hours/week throughout the course of a 12-week summer internship between May through September- Currently enrolled in a bachelor’s degree program with a graduation conferral date between December 2025 and June 2026 ...

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. ...

Are you a Master's student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.For more information on the Amazon Science community please visit https://www.amazon.science.BASIC QUALIFICATIONS- Are enrolled in a Master's degree- 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++ ...

Amazon is a pioneering, dynamic, and energetic company that thrives on unique and peculiar ways. We take pride in our single-minded obsession over customer satisfaction and our ability to maintain a curious and vibrant culture no matter how large the company grows. We endeavor to build our legacy as Earth’s most customer-centric company and to continue to cultivate and nourish our innovative environment through our mission to hire the best. If you are a financial accounting professional who consistently exceeds expectations, who dares to make bold decisions, and whose ears perk up at the prospect of a challenge, then Amazon is a place where your career can flourish.When working at Amazon, your ability to make a difference and take ownership of your career begins on day one. You can expect a collaborative, team-driven environment that encourages employees to learn, be curious, and have a bias for action. Part of this propensity for continuous learning shows itself in Amazon’s strong encouragement of movement and growth within the Accounting department and within the company as a whole. We aim to hire and develop those who will raise the bar over the course of their career at Amazon (and not just in their first position). Amazon’s accounting group offers opportunities at the Accounting Manager level in Legal Entity & Intercompany, Accounting Policy & Reporting, Operations and Capital, Transportation, Payments & Merchant Services, Retail Operations, Digital, and AWS Accounting.Key job responsibilities• Supporting various aspects of our accounting and reporting process.• End-to-end process ownership to support finance and business partners.• Understand internal control design concepts sufficient to assess the effectiveness of controls in their area and to design new processes and controls for emerging and growing business activities.• Execute judgments to keep projects moving and ensure the right decisions are reached to close the books each month.• Escalating risks and issues as necessary to leadership.• Strong sense of ownership.• Ability to identify process improvement and automation opportunities to drive positive change across the organization.• Lead delivery of accounting tasks and projects.• Enhance partnerships between Accounting and various business and IT groups.Research, conclude and memorialize technical accounting position papers.BASIC QUALIFICATIONS- Bachelor's degree in accounting or related field- 5+ years of finance or a related analytical field experience ...

Do you thrive on the challenge of threat modeling and fortifying the defenses of AI/Gen AI and cloud systems? Are you excited by the prospect of identifying customer security expectations for AI systems and influencing builders to embrace secure-by-default practices, making the secure path the seamless choice for our customers? As a Security Engineer (AppSec) on the AWS Gen AI security team, you will be entrusted with the security review and threat modeling of AWS Gen AI offerings.Our team is responsible for setting and holding the highest security bar for Generative AI offerings from AWS. We conduct security reviews, penetration testing, build security automation, and implement whatever mechanisms are necessary to ensure the high security bar for AWS Generative AI offerings for our customers. While Generative AI systems share components with traditional distributed systems, they also present unique challenges, such as model security, agentic behavior, security issues arising from the non-deterministic nature of LLMs, and GPU-level compute isolation complexities. We seek Security experts to join our group and tackle these security challenges head-on, safeguarding our customers' Gen AI workloads. A security engineer at Amazon is expected to be strong in multiple domains and provide significant contributions to the AWS IT Security team and to multiple groups throughout Amazon. Security engineers are expected to develop elegant solutions to complex business problems and apply appropriate technologies while following security engineering best practices. You are also expected to mentor more junior engineers and be a security thought leader for the organization. A security Engineer must foster constructive dialogue and seek resolution when confronted with discordant views. Engineers in this role are expected to participate fully in the planning of the AWS IT Security team's work and constantly seek opportunities for process improvement. They should also have a deep understanding of at least one specialty for which they are a sought-out resource (both within AWS Security and by groups throughout Amazon), while having an understanding of the application of information security in a broad range of technical areas.Key job responsibilities• Perform threat modeling and ensure proper controls are in place for AWS distributed systems, with a primary focus on AI/Gen AI systems.• Actively engage with customers, stakeholders, and industry experts, capturing customer security expectations for AI/Gen AI systems and incorporating them into the security bar.• Influence builders to be better security owners, actively engaging with them to innovate faster and bring mechanisms for upholding the high security bar.• Proactively influence AI/Gen AI systems to have security features that exceed customer security expectations for their workloads.• Produce guidance to shift security left for builders and scale security ownership by commoditizing it.• Obsess over automating well-paved paths for scaling, allowing engineers to focus on high-judgment work. • Security tool development • Delivering and improving security metrics • Assisting with recruiting activities and administrative workAbout the teamAbout Amazon SecurityDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- A bachelor's degree in computer science, cybersecurity, information security, a similar technical field, or equivalent professional experience can substitute for a degree.- Minimum of 3 years of experience in defensive security, threat modeling, and security review processes.- Minimum of 3 years of experience with any combination of the following: IAM, Security Engineering, Cryptography, Vulnerability Management, Supply Chain Security, Network security, Threat modelling or Penetration testing.- Expertise in distributed systems security, fundamental cloud security concepts around IAM, cryptography, and other security features. ...

Amazon is looking for talented Postdoctoral Scientists to join our Amazon Robotics team for a one-year, full-time research position.The host team is developing novel approaches to mobile robot operation to carry a wide range of loads and perform different roles in Amazon logistics. These robots are used in automating material handling throughout the fulfillment and sortation processes. The team focuses in multi-robot coordination and planning, while developing cost-sensitive solutions.The postdoc is expected to develop novel control and planning algorithms for a fleet of agile robots, working closely with mechanical engineers. Experience with hands-on development and bring-up of robotic systems would be a significant contribution to team goals.Key job responsibilities• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.• Be comfortable with a fast-paced work with a lot of unknowns and hands-on engagement.BASIC QUALIFICATIONS• PhD in a relevant field, received within 2 years of starting the program• Proven publication record in Robotics Control and Path Planning for mobile robots * Experience in multi-robot planning* Proficiency in technologies relevant to the subfield ...

Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. We optimize product placements using a combination of machine learning and natural language processing (NLP) algorithms operating in low latency, high-volume systems. We are highly motivated, collaborative and fun-loving, with entrepreneurial drive 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.As an Applied Scientist III, you will take ownership of the technical roadmap and delivery of real-time, scalable machine learning models influencing ad selection, relevance and ranking models. You will work with other Applied Scientists and Machine Learning Engineers to experiment and innovate quickly with a diverse set of models, features and techniques in a high-volume, low-latency environment. Our workflows scan billions of documents, with milliseconds of latency budget while ensuring high relevance of retrieved items. So the level of quality and reliability is critically important.As a Applied Scientist III on this team, you will: - Build machine learning models that can scale to our run-time requirements. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Help recruit and mentor other Applied Scientists on the team.About the teamThe Sponsored Product search entitiy sourcing delivery team helps deliver billions of ad impressions and millions daily clicks daily. Our core charter revolves around building state-of-art machine-learning (ML) and natural-language-processing (NLP) methodologies to improve the search indexing & ranking mechanisms, which will directly improve the customer experience. We’re a talented team of scientists and engineers working on complex and ambiguous problems, and we have an engineering-driven culture that influences business outcomes.BASIC QUALIFICATIONS- 6+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Advertising is one of the fastest growing areas at Amazon. Our Ad Tech suite of products — including Amazon DSP (ADSP), Amazon Marketing Cloud (AMC) and Amazon Ads APIs — allow our customers to leverage Amazon's unique media, audience, and e-commerce assets to drive meaningful results for their business.Ad Tech Solutions (ATS) is the technical solutions arm of our ad tech sales organization. ATS’ charter is to help our largest customers achieve their business outcomes with Amazon's Ad Tech, building on our APIs and AWS services. ATS is seeking a Technical Consultant to join our US practice. You will help customers to achieve their business outcomes by solving technical challenges related to conversion tracking, first party data uploads, API development, AMC SQL query customization, and building custom audiences. You will work closely with our Ad Tech Account Executives to accelerate customer adoption of DSP and AMC to increase their advertising ROI and drive more investment. You will help Data Analysts, Data Scientists, IT Analysts, and Developers in our customer organizations solve complex technical challenges so that their agency or brand can make better strategic advertising and data decisions. You will be able to assess and adapt our customers’ SQL skills to maximize their time and value in using our products. You’ll drive technical solutions discussions, diving deep into the details with customer teams. You’ll lead customer-tailored engagements, demonstrating the integrated value of AMC and DSP in combination with their AWS technology investments. You’ll also act as a technical thought leader in the ad tech community. This includes playing a lead role in educating, sharing best practices, writing white papers, and running "Working Backwards" sessions with customers. As a customer-obsessed advisor, you’ll also have the chance to shape the direction of our ad tech products and services by gathering feedback from customers and collaborating with our engineering and service teams.Key job responsibilities- In partnership with the ad tech sales team, educate customers on the value proposition of Amazon’s Ad Tech Suite and participate in deep technical discussions and design exercises to create world-class solutions built on Amazon’s Ad Tech and AWS platforms. - Lead data and analytics discussions and design customer workshops to become an expert on our customer’s technical needs and business goals.- Drive usage and adoption. Your customer engagements will result in our customers generating valuable insights that they can use to make smarter investments on – and off – Amazon media properties. You will continuously monitor the inputs you drive to measure the output of activation.- Be a customer advocate. You will take your learnings from customer engagements and work with Advertising engineering teams as input into integration and ad technology roadmaps.- Contribute to the creation and delivery of best practices, packaged offerings, certification paths, white papers, and workshops. - This is a customer facing role within the US region. You will be required to travel to client locations to deliver when needed.BASIC QUALIFICATIONS- Bachelor's degree, or 5+ years of professional or military experience- 5+ years of technical specialist, design and architecture experience- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience- 5+ years of consulting, design and implementation of serverless distributed solutions experience- 3+ years of software development with object oriented language experience- 3+ years of cloud and on-premise integration experience- 3+ years of integration, testing and automation experience- 3+ years of continuous integration and continuous delivery (CI/CD) experience- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience- 5+ years of external or internal customer facing, complex and large scale project management experience ...

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 is seeking students to join us for a 5-6 month internship (full-time, 40 hours per week) as Data Science Co-op.Please note that by applying to this role you would be considered for Data Scientist spring co-op and fall co-op roles on various Amazon Robotics teams. The internship/co-op project(s) and location are determined by the team the student will be working on.Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-roboticsAbout the teamAmazon 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.BASIC QUALIFICATIONS- Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field- Degree program must be based in the United States with an expected graduation of December 2025 or later- Must be eligible for and available for full-time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co-op- At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related- At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication- At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) ...

Come be a part of a rapidly expanding global business. At Amazon Retail Stores, we are passionate about building solutions and we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail developing innovative solutions to help our customers thrive. Bring your insight, imagination and a healthy disregard for the impossible. Key job responsibilities- Deliver accurate weekly reporting on pipeline and customer spend adoption, including account status updates and insights learned during deployment- Provide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challenges- Focus on automating service needs for customers, while working with Product and Technical teams to develop solutions that will increase solution adoption- Relay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teamsBASIC QUALIFICATIONS- BA/BS degree or equivalent work experience- 3+ years of relevant sales experience- Demonstrated track record of successfully identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of successfully positioning and selling solutions to new and existing customers and market segments ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.This role is a 6 month co-op from January - June 2025.*Note*: By applying to this position, your application will be considered for the role of Tech Product Manager II Co-op in various teams at Amazon Robotics, such as: Systems and Products, Operations, Hardware Engineering, Software Engineering, and others. Each team might require more specialized technical skillsets in their respective areas; please read below for more details in the qualifications sections. If you have a strong interest and experience for one particular team, please add a note to your resume.The Technical Product Management team partners closely with software and hardware engineering teams and is responsible for defining product requirements for the development of the latest technologies for Amazon Robotic Fulfillment Centers. The team is also responsible for creating strategic product roadmaps, serving as Voice of the Customer, and evaluating and prioritizing new feature requests.The Technical Product Manager II Co-op will be an active member of this team by owning a critical product component, process path, or internal process improvement. This role requires excellent communication, project management, and technical skills to process information from multiple stakeholders, understand technical product features, and communicate effectively across the organization.A successful candidate will be comfortable navigating the early phases of a products’ development, and can bring structure to ambiguity. The PMT Co-op will have a strong bias for action, able to weigh multiple options and make documented, data-driven tradeoffs. Lastly, a successful candidate knows how to communicate across multiple audiences, including target customers, business partners, solution designers, and SW and HW engineers.Co-op will be responsible for:* Requirements generation* Market sizing and competitive analysis* Customer and partner communication* Voice of Customer collection* Technical leadershipKey job responsibilitiesBASIC QUALIFICATIONS* Currently working towards MBA* Bachelor’s degree in Computer Science or Engineering, or similar discipline* Must be eligible and available for a full-time (40h / week) co-op from January - June 2025* Must have at least one semester/term/quarter of school left to complete after the end of the Co-op* Dec 2025 graduation date or later ...

The goal of the Americas Account Compliance team is to implement effective controls to ensure regulatory compliance while continuously improving the customer experience. We are expanding our team and seeking a dynamic candidate to drive our AML and customer experience initiatives while maintaining an optimal SX as we grow.The AML and Account Compliance Program Manager will be responsible for overseeing the expansion and enhancement of the organization's anti-money laundering (AML) program and compliance program as the business grows and evolves. The role also includes oversight of controls for the INFORM Consumers Act (for US customers) as well as oversight of tax compliance and other seller experience initiatives for the Americas. This role involves developing and implementing AML-related risks and compliance requirements across new products, services, markets, and channels while also emphasizing on best in class customer experience. The manager will work closely with compliance, risk, operations, and technology teams to ensure the AML program keeps pace with evolving business needs and regulatory requirements.Key job responsibilities• Develop and execute a comprehensive strategy to extend the organization's AML compliance framework in alignment with business objectives and regulatory expectations• Collaborate with business leaders to understand emerging compliance risks and requirements associated with new initiatives and develop appropriate AML mitigations• Continuously develop and enhance the tax compliance and seller experience processes and controls for sellers in the Americas• Own the design and implementation of enhancements to AML customer due diligence, reporting capabilities, and overall SX• Oversee the development and deployment of new AML-related technologies, tools, and data sources• Establish AML policies, procedures, and training programs to support the expansion of the compliance framework• Manage AML-related projects, including resource planning, budgeting, and stakeholder communication• Provide strategic guidance and subject matter expertise to cross-functional teams on AML compliance matters• Report on the performance, initiatives, and ongoing enhancements of the AML program to senior management and the board of directorsAbout the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to help each team member develop into a better-rounded professional.BASIC QUALIFICATIONS- 5+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience- Bachelor's degree or equivalent- Experience establishing successful partnerships with internal and external teams to execute tactical initiatives or equivalent- Experience in program requirements definition, together with data and metrics leveraging to drive improvements- Experience with AML-related technologies, data analytics, and automation ...

AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML).As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI.A day in the lifeThe team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USAAbout the teamAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

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

Want to help develop the next generation of intelligent assistant products? Join us! We are looking for a talented Applied Science Manager to help us.Key job responsibilitiesYou will lead a team of scientists to improve our RAG applications. You will be responsible for: (i) developing novel retrieval and ranking models and partnering closely with engineering to improve model performance; (ii) improve content and query understanding models to deliver improved signal to retrieval and ranking models; (iii) partner closely with content acquisition and LLM client teams to ensure our dependencies are met and we’re delivering value to the end customers, enhancing information grounding for LLMs; (iv) develop a science roadmap, including publication opportunities and how we can accelerate delivery of customer impact; (v) coach and develop the team, hire, and hold the bar on scientific rigor throughout the team.A day in the lifeA mix of (i) technical deep dives: working with the team to develop the right models, setup good experiments, debug models, etc. (ii) coaching and development: providing feedback, setting up mechanisms to ensure the team’s success, and (iii) working with customers and dependency teams to ensure delivery.BASIC QUALIFICATIONS- 2+ years of scientists or machine learning engineers management experience ...

Amazon is a fast-paced, dynamic company based in Seattle. Amazon's Global Tax Services (GTS) team implements solutions that support the automation of our Indirect Tax teams’ processes. GTS team seeks an exceptionally capable and motivated individual to join as an Analyst to help deliver financial system mappings and manage data schemas to support our Indirect Tax function. The Analyst’s key responsibility is to fill a specific area of domain knowledge – to be the Tax department’s domain expert in Amazon financial systems. An Analyst uses this domain expertise to deliver tax solutions within Amazon’s financial systems.The Analyst leads the end-to-end design and delivery of solutions to address tax booking requirements across geographies and business lines by delivering financial system schemas that are simplified, standardized, and globally scalable.The right individual should have a solid understanding of indirect tax and/or accounting concepts, ability to work with (or an appetite to learn) data standardization and schema concepts, and solid business judgment capable of delivering the right results. We are a fast growing team in an emerging domain, so we're looking for candidates who are willing to go into unfamiliar territory and who are eager to learn new concepts and skills from our team.Key job responsibilitiesThis role performs a wide variety of responsibilities for the GTS organization including: - Perform hands-on data analysis of large tax and financial data sets to propose standardized, global mapping solutions in Amazon financial systems. - Work with Amazon Tax customer teams to identify improvements in efficiency and controllership for their current data processes; teach them how to utilize the designed reporting and functionality in their processes.- Build and maintain relationships with our key technology providers across Amazon to ensure the necessary data is provided to meet Tax's financial system needs. - Contribute to the delivery of multiple simultaneous tax projects by independently driving smaller projects or components of larger projects.A day in the lifeA day in the life of an Analyst includes meetings with tax and accounting customers, data analysis, creating config and schema changes, including reviewing them with GTS and external peers.About the teamOur team mission is to deliver tax data correctly and completely in financial systems. Our team is distributed and deliver simple projects independently but we also collaborate synchronously and asynchronously to solve the more complex projects we encounter.BASIC QUALIFICATIONS- BS degree in Accounting, Tax, Finance, a related field or equivalent experience.- 5+ years’ experience working in tax, accounting, data analysis or related field - Strong critical thinking, verbal and written communication skills, and attention to detail.- Ability to perform analysis and translate business objectives into actionable analyses.- Creative, positive, and helpful attitude; ability to work in a team-oriented, customer-centric working style. ...