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The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.Key job responsibilitiesAs an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.A day in the lifeDiverse 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. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.About the teamThe Amazon Web Services (AWS) Next Gen DevX (NGDE) team is building Amazon Q for Developers to re-imagine all aspects of how builders create applications. We build AI products that are deployed in the IDE, the AWS console, and in web-based tools and services. We provide developers with AI assistants to generate code, features, and entire applications as well as to interact with AWS. We explore new technologies and find creative solutions, produce original research and bring cutting edge innovation to our customers. 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, this is the team for you.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 5+ 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- Experience in any of the following areas: Deep-learning, Generative AI, and Large Language Models ...

The ADC Commerce Platform team is looking for a AWS Dedicated Cloud Engineer with a passion for continuous improvement. The team owns and operates some of the most impactful services in AWS and we are looking for someone to help us to continue to drive improvements and optimizations though automation and process optimization. Our systems development engineers work in a fast-paced environment across many disciplines, collaborating with other AWS teams to deliver cutting-edge services for our customers. Our team members own the scaling and management of services across AWS regions supporting the US Government. The ideal candidate is passionate about development and operations, and have a strong desire to learn about drive continual improvements throughout Amazon's development lifecycle. If this sounds like you lets talk!This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilitiesThe ADC Commerce Platform team is seeking highly motivated engineers who are focused on operational excellence and troubleshooting complex system operations, have a solid understanding of Linux, networking, and general knowledge of cloud services. We need engineers who understand how to think big, and simplify solutions to complex problems; all the while ensuring that our customers continue to have the best experience possible.A day in the lifeOn a "typical" day, our engineers may dive deep into customer issues, service interdependencies and region specific configurations to find the root of a problem. Engineers also need to be able to investigate why a metric or system variances is trending in the wrong direction, or discuss radical new approaches to automate operational processes. As a member of our team you will join a dedicated group of engineers who provide troubleshooting and operations support, and innovate to automate operational tasks.The CP ADC Operations team supports customer sign up, bill computation, pricing, metering, discounts, cost insights, security, and fraud prevention services for AWS customers. The CP ADC Ops team is focused on enabling AWS as a whole the capability to build, interpret and process trillions of commerce events per day, often bundled with low-latency/real-time analysis to enable security and fraud detection. ADC regions like DCA and LCK are similar to the commercial regions, except that they are completely disconnected because ADC regions are isolated from the rest of AWS. This means that the ADC region operates independently, and in complete connectivity isolation from the internet, all commercial Amazon corporate, retail, and Amazon Web Services systems and services. Deploying code or troubleshooting a problem in an ADC region requires the involvement of a cleared engineer on the CP ADC Ops team.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- 3+ years of systems administration experience (Linux/Windows).- Experience working with scripting languages.- Current, active US Government Security Clearance of Top Secret or above. ...

The Worldwide Amazon Stores organization is looking for an Administrative Assistant who wants to work in a fast-paced, exciting, and growing organization. We are seeking an exceptionally talented, dependable, customer-obsessed, and self-motivated Administrative Assistant to work under the direct supervision of the Executive Assistant to the Vice President of the Amazon Payments team. This is a great opportunity to join a stellar administrative team, with a variety of responsibilities for you to grow and further your professional career. Key job responsibilities• Plan logistics for meetings and events of various sizes.• Complete and file expense reports.• Create and maintain team organization charts.• Assist with space planning.• Provide back-up calendaring support.• Collaborate closely with departmental Executive Assistant (EA) peers.• Special projects as assigned.• Suggest process improvements to make the team more effective.BASIC QUALIFICATIONS- 2+ years of professional or military experience- 1+ years of working with computers and Microsoft Office products and applications experience- High school or equivalent- Are 18 years of age or older ...

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 ...

Amazon Web Services (AWS) is seeking a Deal Lead for the Strategic Customer Engagements (SCE) team to help our customers accelerate out of their datacenters.SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities. AWS is focusing on bringing even more of our innovative products and services to a wider array of customers, faster than ever. To accomplish this goal, SCE is working with our customers to evaluate how we can accelerate moving Customer’s workloads faster to the AWS cloud (i.e., Accelerate to the Cloud from your Data Center (ACDC)).This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE global deal team and other Amazon and AWS stakeholders.As a SCE ACDC Deal Lead, you will be responsible for developing the end-to-end holistic project strategy, including the implementation, modernization and value proposition to accelerate the customers AWS cloud adoption, and building a compelling business case for the Customer’s C-Suite. In addition, you will be responsible for managing the end-to-end Deal Cycle for strategic, large, complex or highly competitive deals. You will focus on earning trust with customers by creating actionable strategies, developing and shaping opportunities, and leading deal engagements through negotiations and closure. This highly visible role will own engagement with customer C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and to enable private pricing, go-to-market, pan-Amazon, and other strategic relationships. You will work collaboratively to drive results by partnering with AWS customers, AWS field sales executives, AWS Partners and other internal stakeholders to empower our customers to evolve, address challenges, and to create innovative solutions.Open to Hire out of any AWS Hub Location.Key job responsibilities* Lead negotiations and customer closure for strategic, large, complex or highly competitive deals* Develop the optimum implementation strategy for the customers to accelerate move to the cloud and this cover a 360 view of the project including but not limited to: 1) identify with the ProServe or partner team the optimal migration project balancing the re-platforming, modernization and refactoring needs 2) identify a mitigation plan for other direct or indirect blockers (e.g. internal team skillsets and training, assets or other contractual dependencies) and 3) identify the drivers to improve the holistic business case for the customer enabling a faster move to the cloud.* Develop and shape the overall deal strategy and structure to meet customer business outcome and goals* Qualify and shape the customer business case to ensure viable deal commercials for all stakeholders*Contribute to developing AWS’s value proposition and solutions*Drive revenue growth and Cloud adoption*Closely collaborate with key stakeholders across the organization for (Americas/EMEA/APJ) regional sales teams, and related regional and global stakeholders (Service Teams, Finance, Legal, etc.)A day in the lifeDiverse 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- 12+ years demonstrated success working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals (relative to industry and market size) from opportunity through closure- 12+ years of experience working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, and legal and internal stakeholders for sizeable commercial/enterprise deals- Bachelor degree in Business, Economics, Technology or Finance (or equivalent work experience) ...

Amazon.com Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively reduce the impact of abuse across Amazon.Please visit https://www.amazon.science for more information on customer obsession science.Key job responsibilitiesAs an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust.You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner.The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.A day in the life- Invent, implement, and deploy state of the art machine learning algorithms and systems- Build prototypes and explore conceptually new solutions- Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams- Take ownership of how ML solutions impact Amazon resources and Customer experience- Develop efficient data querying infrastructure for both offline and online use cases- Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.- Research and implement novel machine learning and statistical approaches- Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentationsBASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience building machine learning models or developing algorithms for business application- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

We are seeking a Data Center Operations Subject Matter Expert that will be responsible for liaising between the service team owners that run the suite of AWS tools that enable our customers to leverage cloud technology in ways that no other company does and our Data Center Operations teams on the ground that care and feed the hardware that makes this possible. This candidate will be working on changing the face of Cloud technology in the region. This role is based in the National Capitol Region. As a Data Center Operations (DCO) Subject Matter Expert you will work as a force multiplier for the Operations team, whose primary responsibility is the running and maintaining of DCO projects, maintenance, and upkeep of the datacenter. Our ideal candidate possesses a natural curiosity, sharp analytical skills, a self-driven approach to identifying work and implementing solutions, and is excited to pioneer on behalf of customers. This role requires hands-on project management skills, deep technical expertise, and excellent leadership skills. You will be responsible for collecting business and systems requirements from internal and external customers, working with other organizations to drive systemic issue resolution, liaising with service teams and driving project schedules. You will also be responsible for setting project management standards and delivering large, cross functional projects across the Amazon dedicated cloud environment. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.Key job responsibilities* Apply project management methodology to manage scope, plan work, coordinate resource deployment on tasks, analyze risks/develop mitigation strategies and proactively identify and resolve issues.* Own goals involving cross functional projects and stakeholder management.* Solve customer projects by applying technical and problem solving skills.* Provide leadership and perspective, and drive stakeholders to decisions in ambiguous situations.* Apply continuous improvement methodologies to analyze and understand existing processes and workflows.* Develop and manage detailed program schedules and report weekly progress and risks to senior leadership teams across multiple sites and functions.* Participate in team meetings for metric analysis and daily/weekly goals achievement.* Contribute to the development of other team members.* Confident working in a Linux and CLI environment, and working with pre-written network configurations.* Help define metrics to increase our customer uptime* Enforcing Amazons Security Best Practices* Interact with third party vendors & contractors* Contribute ideas to improve operational efficiency* Engage with service owners and close communication gaps with DCO teams across the ADC organization* Share knowledge and help educate less technical staff on the best practices related to all service owner issuesAbout the teamAWS 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.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.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.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. 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.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- Bachelor's degree in I.T. Related field or equivalent military experience- 2+ years of hand-on experience with server hardware- 2+ years of project management experience- Current, active US Government Security Clearance TS/SCI with Polygraph ...

We are seeking a highly motivated PhD Research Scientist Intern to join our robotics teams at Amazon. This internship offers a unique opportunity to work on cutting-edge robotics projects that directly impact millions of customers worldwide. You will collaborate with world-class experts, tackle groundbreaking research problems, and contribute to the development of innovative solutions that shape the future of robotics and artificial intelligence.As a Research Scientist 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. You'll find yourself at the forefront of innovation, working with large language models, multi-modal models, and modern reinforcement learning techniques, especially as applied to real-world robots.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 in robotics and AI. You'll then immerse yourself in a world of data and algorithms, leveraging your expertise in large language models and multi-modal systems 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 Research Scientist Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA, and San Francisco, CA.We are particularly interested in candidates with expertise in: Robotics, Computer Vision, Artificial Intelligence, Causal Inference, Time Series, Large Language Models, Multi-Modal Models, and Reinforcement Learning.In this role, you gain hands-on experience in applying cutting-edge analytical and AI techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights and advanced AI models to drive operational excellence in robotics, 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 have the ability to thrive in a fast-paced, ever-changing environment.A day in the lifeWork alongside global experts to develop and implement novel scalable algorithms in robotics, incorporating large language models and multi-modal systems.Develop modeling techniques that advance the state-of-the-art in areas of robotics, particularly focusing on modern reinforcement learning for real-world robotic applications.Anticipate technological advances and work with leading-edge technology in AI and robotics.Collaborate with Amazon scientists and cross-functional teams to develop and deploy cutting-edge robotics solutions into production, leveraging the latest in language models and multi-modal AI.Contribute to technical white papers, create technical roadmaps, and drive production-level projects that support Amazon Science in the intersection of robotics and advanced AI.Embrace ambiguity, maintain strong attention to detail, and thrive in a fast-paced, ever-changing environment at the forefront of AI and robotics research.BASIC 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 ...

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization owns and operates OR/ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon’s warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience. We are focused on saving hundreds of millions of dollars using Optimization, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.We’re looking for a passionate, results-oriented, and inventive scientist who can create and improve models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative models for solving complex business problems in the area of outbound transportation planning and execution systems. You will work closely with our product managers and software engineers to disambiguate complex supply chain problems and create optimization solutions to solve those problems at scale. You will directly impact our direct customers, and even play with big data and incredible scale in the background.Watch http://bit.ly/amazon-scot to get the big picture. Key job responsibilities* Design, development and evaluation of highly innovative optimization models for solving complex business problems. * Research and apply the latest optimization 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. * Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeThis is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within it's logistics network including Fulfillment Centers, Sort Centers, Delivery Stations, and more. In this role, you will be a design and develop Optimization models with significant scope, impact, and high visibility. Your solutions will impact business segments worth many-billions-of-dollars and geographies spanning multiple countries and markets. From day one, you will be working with bar raising scientists, engineers, and designers. You will also collaborate with the broader science community in Amazon to broaden the horizon of your work. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamFulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Machine Learning and Operations Research, who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create ML and optimization solutions to solve those problems at scale.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 ...

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

Amazon 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 ...

Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as an Applied Scientist.At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products. As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon’s global marketplaces around the world. The position is based in Seattle but will interact with global leaders and teams in Europe, Japan, China, Australia, and other regions. Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Please visit https://www.amazon.science for more information Key job responsibilities- Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.- Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.- Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of solving business problems through machine learning, data mining and statistical algorithms 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 building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) ...

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! In this role, you will invent science and systems for Transactional Video on Demand and Channels, including machine learning-based pricing and promotion systems. You will work with a team of scientists and product managers to design customer-facing products, and you will work with technology teams to productize and maintain the associated solutions.We are looking for an applied scientist to join our interdisciplinary team of Data Scientists, Applied Scientists, Economists, Data Engineers and Software Engineers. The ideal candidate combines machine learning expertise with the ability to deploy algorithms into production. You have deep knowledge of recommender systems and/or personalization models and experience applying them to Amazon-scale data. You understand tradeoffs between business needs and model complexity, and you take calculated risks in developing rapid prototypes and iterative model improvements. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into production systems and business action (and customer delight).Key responsibilitiesAs an Applied Scientist on this team, you will:- Develop and implement recommender models for studio partners and customers;- Perform hands-on analysis and modeling of enormous datasets to develop insights that increase customer engagement and monetization;- Run experiments, gather data, and perform statistical analysis;- Collaborate with tech and engineering teams to develop and optimize production systems;- Research new and innovative machine learning approaches;- Work with other scientists to raise the science and coding bar across Prime Video.About the teamPrime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language ...

Working at Amazon Robotics 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 that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. 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. Job Overview – Amazon is seeking a talented and motivated Electrical Engineer to work on system design, implementation and release to manufacturing. The ideal candidate will have extensive experience in system design, complex analog and digital circuit design, possess good communication skills, have the ability to own a large component of a system and lead a team of Electrical Engineers. This candidate must have the ability to work well both independently and in team settings. This position reports directly to the Electrical Engineering Manager. Key job responsibilities• Working with an interdisciplinary team to execute product designs from concept to production including design, prototyping, validation, testing and certification• Leading and supporting a technical team on multiple projects in parallel• Coordinate all activities within the engineering discipline for the project.• Ensure coordination with other disciplines is effective for each project.• Thorough understanding of technical principles and concepts in Electrical Engineering• Writing and developing functional specifications, design verification plans and test procedures• Architecting, designing and implementing complex embedded system, analog and digital circuit design and systems debugging• Supporting product releases to manufacturing and customer deployments• Execute tasks to aggressive schedules• Establish development processes to meet industry standards for functionally safe control systems (IEC 61508).A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test procedures- BS / MS Electrical Engineering (or similar field).- -10+ years of experience in electrical, firmware and system level design.- Ability to lead a technical team or team of electrical engineers.- Expert in schematic entry, layout tools and design for manufacturability (familiarity with OrCAD Capture and Cadence Allegro tool flow is a plus).- Experience designing high volume printed circuit boards with design-for-cost targets.- Experience designing complex schematics containing analog and digital electronics including boards with FPGA’s, microcontrollers or microprocessors.- Experience with mixed signal designs.- Experience with serial communication interfaces (CAN, SPI, Ethernet, USB, etc.).- Proficient with PSPICE for analog circuit simulation.- Experience executing design reviews in front of interdisciplinary teams.- Familiar with PCB layout design and best practices.- Comfortable debugging existing designs.- Demonstrated strong ability to move seamlessly between levels of abstraction – from system to the “nuts and bolts” implementation.- Extensive system design interfacing to a wide array of electro-mechanical subsystems and debugging experience.- Commitment to rigorous testing practices and design process flows. ...

Amazon’s Automated Inventory Management (AIM) team is looking for passionate, hard-working, and talented individuals to join our fast paced, stimulating environment to help invent the future of business ownership with Technology, and to translate big data into actionable insights.The AIM team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization.As an Applied Scientist on the AIM team, you will design quantitative systems, prediction models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build solutions to provide insights to business leaders at the most senior levels throughout the company.Key job responsibilitiesImplement statistical and machine learning methods to solve complex business problemsResearch new ways to improve predictive and explanatory modelsDirectly contribute to the design and development of automated prediction systems and ML infrastructureBuild models that can detect supply chain defects and explain variance to the optimal stateCollaborate with other researchers, software developers, and business leaders to define the scientific roadmap for this teamBASIC QUALIFICATIONS- 2+ years of building models for business application experience- PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences leveraging the latest advances in generative AI, and Amazon’s tremendous computational resources. What do you get? An unparalleled opportunity to deliver transformational experiences that impact customers everyday lives.Are you passionate about working on disruptive ideas? Are you obsessed with finding and building the most innovative and customer-friendly user experiences? Have you built and launched new experiences that impact shoppers all around the world? This is a unique full-stack opportunity that combines the ability to build exciting, new user experiences for Amazon's customers with the opportunity to work with Generative AI and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon customers.Key job responsibilitiesAs an Applied Scientist in the Amazon Profiles team in Personalization, your work delivers transformational, AI-powered end-to-end experiences to seek to understand each customer uniquely and deeply. You will use the latest ML and generative AI-powered methods to power new personalized experiences. Amazon Profiles represents a highly-visible charter, with exposure and sponsorship at the S-Team level. We leverage our understanding of each customer to personalize the moments that matter along the Shopping journey, while making it easy for customers to tell us when we get it wrong. We leverage generative AI to use this deep customer insight to help our customers more confidently navigate their shopping journey. We partner closely with teams across Amazon to deliver a unified and cohesive experiences. Come join us as we transform Amazon into a deeply personal and relevant store!BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon's AGI Web & Knowledge Services group is seeking a passionate, talented, and inventive Applied Scientist to lead the development of industry-leading structured Information retrieval systems. As part of our cutting-edge AGI-SIR team, you will play a pivotal role in developing efficient AI solutions for Knowledge Graphs, Graph Search and Question Answering Systems.In this role, your work will focus on creating scalable and efficient AI-driven technologies that push the boundaries of information retrieval. You will work on a broad range of problems, from low-level data processing to the development of novel retrieval models, leveraging state-of-the-art machine learning methods.Key job responsibilities- Lead the development of advanced algorithms for knowledge graphs, graph search and question answering systems, guiding the team in solving complex problems and setting technical direction.- Design models that address customer needs, making informed trade-offs to balance accuracy, efficiency, and user experience.- Collaborate with engineering teams to implement successful models into scalable, reliable Amazon production systems.- Present results to technical and business audiences, ensuring clarity, statistical rigor, and relevance to business goals.- Establish and uphold high scientific and engineering standards, driving best practices across the team.- Promote a culture of experimentation and continuous learning within Amazon’s applied science community.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)- 1+ years of building models for business application experience ...

Would you like to help implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations?Amazon Web Services is seeking top industry technical experts to grow our team dedicated to expanding our Code Services to government customers. We are seeking a talented engineer skilled in the art of integration who understands the Agile mindset and DevOps philosophies, yet is not constrained by how “things are usually done" and is willing to decompose and reinvent systems, processes, and tools. We're looking for a technical expert for one of the largest compute services on the planet; if you possess that rare mix of depth in Operations, Networking, and Systems Engineering then we are waiting for your application.Amazon has a fast-paced environment where we “Work Hard, Have Fun, Make History.” On a “typical” day engineers might deep dive to root cause a customer issue, investigate why a metric is trending the wrong way, consult with the top engineers at Amazon, or discuss radical new approaches to automate operational issues.You'll be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success. You'll become a master at distributed systems troubleshooting, response, measurement, and automation. You will design and build the operational scalability that sustains the platform's insane growth. You will be able to measure your success by its visible impact on the efficiency and effectiveness of government services for our nation.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.10012About the teamWhy 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. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team 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. 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. 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. 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.BASIC QUALIFICATIONS- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- 5+ years of systems administration experience (Linux/Windows).- Experience working with scripting languages.- Current, active US Government Security Clearance of TS/SCI with Polygraph. ...

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using innovative technology, to solve some of the toughest business problems at Amazon.As an Applied Scientist you will work with business leaders, engineers, and scientists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed solutions. You will develop science products and internal tooling to drive new product development decisions and interventions to improve existing products. Current research areas include entity resolution, generative AI, large language models, and product substitutes. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale science problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. If you are interested in Machine Learning, Generative AI, and large-scale intelligent solutions then this is the role you have been looking for.We are a Day 1 team, with a charter to be disruptive through the use of the innovative techniques and algorithms. You will start on green field projects working with engineers to bring our models to life as well as data products that other teams can benefit from. We are an inclusive team, and are looking for Applied Scientists that aren't averse to learning and building and or optimizing ML models alongside our engineers, product managers and business partners.As an Applied Scientist on the team, you will drive improvements to our business, collaborating with scientists, economists, engineers and highly-engaged stakeholders to deliver actionable insights continuously. We’re truly an agile shop: we work closely with users, deliver features with high frequency, can pivot on a dime when needed, and are passionate about solving customer pain points. We are looking for applied science leaders who share our vision for continuously improving the customer experience, who are motivated by challenging business problems and who love thinking big.Key job responsibilities* You will take the lead on large projects that span multiple teams. The problems you solve will be ambiguous, requiring both technical and domain expertise. You will deliver significant benefits to business.* You need to understand challenges in your teams’ business area, the applicability of relevant machine learning disciplines, and interactions among systems. You will influence your team’s technical and business strategy by making insightful contributions to team priorities and approach.* You will make solutions simpler. You will optimize connected systems using their dynamics. You will improve the consistency and integration between your team’s solutions and the work being done by related teams.* You will improve the work done by others, either via a collaborative effort or by increasing their scientific knowledge, using specialized tools or advanced techniques. You will lead and actively participate in scientific reviews for your team and others.* You are able to communicate your ideas effectively to achieve the right outcome for your team and customer including when to make appropriate trade-offs. You harmonize discordant views and lead the resolution of contentious issues.* You actively participate in the hiring process and improve the skills and knowledge of others via mentoring.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.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 ...