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Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.Amazon Ads is seeking an Account Executive to join our video-focused SMB team. This is an exciting time to join a new team in a role with broad scope and the potential to make real impact. This role will be focused on driving net-new business with a prospecting mindset. Key job responsibilities- Be a true hunter, hungry to uncover opportunity and connect it with a value adding solution.- Generate a pipeline and influences buying decisions to drive revenue from new advertisers.- Establish credible relationships with ad agencies and advertiser decision makers.- Hold sales calls on existing and prospective clients, delivering superior customer service.- Prepare and deliver customized sales presentations to clients.BASIC QUALIFICATIONS- 1+ years of sales experience- Experience with online productivity tools such as Office 365, Salesforce or similar software- 1+ years of selling advertising, advertising-like services, SaaS or tech sales 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 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.Key job responsibilitiesWe are seeking an enthusiastic Data Scientist to:- Design and implement state-of-the-art solutions for never-before-solved problems. - Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience. - Partner with technology and product leaders to solve business problems using scientific approaches. - Build new tools and invent business insights that surprise and delight our customers. - Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes. - Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors. - Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.A day in the lifeAs a member of the Software Research and Data Science (SWRDS) team, there are multiple different paths you can take. For example, you may conduct deep dive analysis of both structured and unstructured robotics field analyses. Some of our team members focus on modeling, pipelines and tooling work, while others focus more on analytic work. We also have team members working on early-concept solution analysis (leveraging simulations, ML-based models, experimenting with new solutions). About the teamThe Amazon Robotics Software Research and Data Science (SWRDS) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire Amazon Robotics system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.BASIC QUALIFICATIONS- Master's degree or higher in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience- 1+ year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related field- 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.) ...

The Think Forward Lab team at Deep Science for Systems & Services (DS3), AWS AI/ML is looking for world class scientists and engineers to join its group working on deployment of autonomous agents. Agents with full autonomy need to be trustworthy and verifiable. The team develops AI systems that exhibit autonomous proficiency across a wide range of domains, demonstrating competency in many (complex) tasks previously performed by human knowledge workers. Such agents sense, plan, and act effectively in interactive and previously unseen environments. To accomplish this goal we are seeking scientists with expertise in large language models, user alignment, neuro-symbolic AI, synthetic data generation and agentic environments. This is a role that combines science knowledge, technical strength, and product focus. It will be your job to develop novel generative AI-based agentic systems and algorithms while working with the engineering team to integrate them into different projects in the AWS AI portfolio of services. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Key job responsibilitiesYou will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for agents, neuro-symbolic AI and LLMs. You will be a technical leader in your domain. You will be a strong mentor and lead for your team. About the teamThe DS3 org encompasses scientists who work closely with different AWS AI/ML product services, innovating on the behalf of our customers customers. About AWS Diverse Experiences AWS 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 applyingAWS 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.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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- 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 Global Real Estate and Facilities (GREF) Tech team, part of Finance Automation, develops services, products, and tools to enable Amazon's corporate real estate team to build and operate the company's global facilities in more than 60 countries, which is the largest corporate real estate footprint in the world. We develop building systems that deliver a seamless, adaptive, and creative workspace experience to more than half a million employees. Our mission is to create technology that simplifies the processes Amazon employs to manage its corporate real estate. Our teams build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you.We are seeking a passionate application development engineer who can help us create the next generation of real estate systems and support the GREF organization. The ideal candidate for this role will be a self-starter and is comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, inventing and implementing new technologies. An Application Development Engineer (AppDev) at Amazon works on real world problems on a global scale, owns their components of enterprise systems and influences the direction of our technology that impacts hundreds of thousands of Amazonians around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history!The main area of activity for this role is to lead the development and integration of intelligent systems that will become the nervous system of the largest corporate building fleet globally. The north star for this team is to establish standards for the operational technology stack in GREF buildings, and deploy it so that Amazon gains better controllership over the environmental conditions of their buildings, utilization modes of spaces offered to users and the consumption of energy and utility billing which contribute to Amazon’s Climate Pledge of becoming carbon neutral ultimately.Key job responsibilitiesAs an Application Development Engineer in GREF Tech you are responsible to integrate 3rd party systems into Amazon's diverse software ecosystem, understanding how to monitor and improve the operational excellence of those systems, and deliver a seamless user experience to the audience of the systems you own. You will take the lead on defining and implementing engineering best practices and using data to define and improve operational best practices. You will drive continuous improvement initiatives for building systems will raise the bar on user experience.A day in the lifeYou will work within a hybrid space between hardware and software integration. Our area of ownership spans from air quality sensors deployed in buildings to wayfinding solutions that allow users to find the most appropriate room for their next meeting, or the occupancy of their usual office space. We collect data from millions of sensors, and systems, use AI to provide useful recommendations to employees so they can make the best use of their time in the office. Your role will be central to all of this because you will ensure all these systems are well integrated and interfaces are healthy.BASIC QUALIFICATIONS* 2+ years of non-internship professional Systems engineering and automation development experience* 2+ years of designing monitoring for 24/7 systems and creation of system health dashboards* Experience programming with at least one scripting language such as Python, Javascript, PowerShell, Ruby ...

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. AHS Sr. Program Manager Policy/Process within the Account Health Support (AHS) team acts as the primary interface between Amazon and our selling partners. We obsess over providing world class support to Sellers selling on the Amazon. We strive to predict the Seller's needs before they recognize they may have a problem, create innovative self-help tools, and provide solutions to help our partners better serve their customers. The Account Health Support Team is looking for a AHS Sr. Program Manager Policy/Process to join our Global Operations and be a leader on our team. We are seeking a talented, data driven, and proven Program Manager to support our stakeholder teams worldwide across various functions. The AHS Sr. Program Manager Policy/Process will be a key person to shape Seller Experience, drive Seller adoption and satisfaction within the Account Health Support team. The ideal candidate should be able to work in a cross functional, fast-paced environment; has strong program management and communication skills. The AHS Sr. Program Manager Policy/Process within the Account Health Support team acts as a primary interface between AHS and the internal business partners we support. As the AHS Sr. Program Manager Policy/Process, you will set the strategy for new program rollouts within AHS, define the processes that make up that strategy, and develop the tools to execute and measure it. Successful candidates will focus on proactively identifying upstream process defects that could negatively impact AHS Specialists, as well as remedying existing process defects. You will work closely with AHS’ business and policy stakeholders, asking the right questions and formulating detailed launch plans to ensure new program rollouts are properly executed, and on time. You will liaise closely with the training, content, and quality assurance teams to systematically identify and close knowledge gaps for our team of worldwide Specialists.This is a high visibility opportunity to improve and define the best way to solve problems throughout the AHS organization, using the power of your communication and analytical skills. This role will be responsible for executing end-to-end process improvement programs that results in the standardization of business processes and implementation of best practices. You will lead large initiatives, coordinating the work of internal and partner teams. Responsibilities include program scoping, launch design, data collection and analysis, site visits, proposal of new standards, communication of results to senior Seller Trust & AHS management, and subject matter expert (SME) support for implementations of recommended improvements. As the AHS Sr. Program Manager Policy/Process, you must be an excellent communicator (written and verbal English), who can clearly and concisely articulate results and liaise with your peers, and all levels of management, including senior leadership. Your strong subject matter expertise, the ability to learn new technology concepts quickly, and passion for innovation will also ensure we deliver and implement high quality processes that heavily rely on optimized tools and scale across all our work types.Key job responsibilities Continuous Process Improvement: · Shares findings for process and tools improvement with the global AHS network. · Summarizes the best practices and communicate with the site leaders/Operations managers. · Develops narratives to communicate process findings to leadership · Able to communicate nuances in AHS Specialist workflow to leadership and external stakeholders. · Serve as primary process improvement liaison to local site leadership. Consultant and Business Partner: · Defines / scopes programs or deliverables – helps to engage with the business. · Works backwards – demonstrates planning capability to execute on deliverables (manages stakeholders, and coordinates details). · Executes needs assessments (surveys, interviews) and makes process/program improvements accordingly. · Continuously improves needs assessment process. · Focuses on the optimal Specialist experience and makes suggestions for improvement. · Helps org to optimize on best practices. Measures and Delivers Results: · Conducts surveys, makes improvements, and creates reports. · Gathers and does initial analysis on deliverable impact. · Uses appropriate judgement to balance use of and application of anecdotal data related to the success of the deliverable and is able to theme it with the other results/data. · Work cross functionally with peers/colleagues globally to support training, best practices, and shared opportunities. · Develop new methodologies and standards for measuring and bench marking internally. BASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience using data and metrics to determine and drive improvements- Experience owning program strategy, end to end delivery, and communicating results to senior leadership ...

The Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies.This role involves innovating in rapidly evolving areas of AI research, focusing on creating personalized services to enhance drivers' and passengers' experiences. Your work will aim to simplify their lives, keep them informed, entertained, productive, and safe on the road, with direct application to prominent Amazon products.If you have extensive expertise in LLMs, natural language processing, and machine learning, along with experience in high-performing research teams, this could be the perfect opportunity for you. Our dynamic and fast-paced environment demands a high level of independence in decision-making and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams, as well as business stakeholders, to ensure your contributions are both impactful and delivered with maximum efficiency.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI)- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributionsAbout the teamThis is an exciting moment to lead in AI research. As part of the Amazon Smart Vehicles science team, you have the opportunity to shape the future by enhancing information-driven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!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 state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning ...

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 ...

The Science Tooling And Research (STAR) Team at Amazon Robotics is seeking a passionate Applied Scientist, with a strong track record of industrial research, innovation leadership, and technology transfer, with a focus on ML Applications.At Amazon Robotics, we apply cutting edge advancements in robotics, software development, Big Data, ML and AI to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We operate hundreds of buildings that employ hundreds of thousands of robots teaming up to perform sophisticated, large-scale missions. There are a lot of exciting opportunities ahead of us that can be unlocked by scientific research. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.As you could imagine, data is at the heart of our innovation. This role will be participating in creating the ML and AI roadmap, leading science initiatives, and shipping ML products.Key job responsibilitiesYou will be responsible for:- Independently innovating, creating, and iterating modeling solutions for given business problems. Especially, using techniques such as Spatial–temporal ML methods, Optimization, Causal Inference, etc.- Collaborating with other Science, Tech, Ops, and Business leaders to ship and iterate model products.- Promoting best practices and mentoring junior team members on problem solving and communication.- Leading state-of-the-art research work and pursuing internal/external scientific publications.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building machine learning models or developing algorithms for business application experience- Experience programming in Java, C++, Python or related language- Experience applying theoretical models in an applied environment ...

Amazon AI is looking for world class scientists to join its AWS AI. This group is entrusted with developing core natural language processing, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS Q, a generative AI–powered assistant for enterprise computing, and work with other acclaimed engineers and world famous scientists.As a senior Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Excited by the disruptive potential of quantum technology? Want to innovate on behalf of our customers to build quantum computing tools for the cloud? Thrilled to be key part of Amazon, who has been investing in disruptive innovation for decades, pioneering and shaping the world’s technology?Amazon Braket is looking for Applied Scientists in quantum computing to join an exceptional team of researchers and engineers. Quantum computing is rapidly emerging from the realms of science-fiction, and our customers can see the potential it has to address their challenges. One of our missions at AWS is to give customers access to the most innovative technology available and help them continuously reinvent their business. Quantum computing is a technology that holds promise to be transformational in many industries, and with Amazon Braket we are adding quantum computing resources to the toolkits of every researcher and developer. As an Applied Scientist in the Amazon Braket team, you will develop advanced software solutions for compilation, simulation, and optimization of quantum computing programs in the cloud. You will play a key role in shaping the development roadmap of the service, and evangelizing new features and capabilities. You will also have the opportunity to create white papers, write blogs, build demos and generate other reusable collateral that can be used by our customers. Most importantly, you will work closely with our quantum computing hardware and theory teams, as well as industry and academic partners. Our team collaborates across the entire AWS organization to drive innovation and deliver the right solutions based on customer needs. Key job responsibilities- Explore and experiment with cutting-edge scientific methods and solutions to shape the development roadmap of the Amazon Braket service- Collaborate with academic and industry research groups to uncover the potential of quantum computing devices- Develop advanced software solutions for construction, compilation, and emulation of quantum circuits, quantum simulations, and optimization in the AWS cloud- Work with software engineers and product managers to give customers access to the most innovative technology available- Evangelize new features and capabilities by creating white papers, writing blogs, and building demos- Collaborate across the entire AWS organization to drive innovation and deliver the right solutions to customersAbout the teamThe Amazon Braket development team consists of applied scientists, software engineers, and product managers who collaborate closely to deliver the most innovative solutions to academic and industry customer to accelerate their quantum computing research.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.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- Experience programming or scripting language like Python, Java, C or C++- Have publications at top-tier peer-reviewed conferences or journals- PhD in a quantum computation related field (Quantum Physics, Quantum Chemistry, Computer Science, etc.)- Expert knowledge in quantum computation and variational quantum algorithms, such as, QAOA and VQE- Familiarity with quantum computing libraries, such as Braket, Pennylane, Qiskit- Demonstrated ability to work effectively across internal and external organizations ...

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.) ...

Do you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Amazon Robotics invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently high density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity comprehension, large scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking a hands-on, seasoned Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item grasping, pose estimation, class imbalanced classifiers, identification and segmentation. As a Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and active learning.As a Applied Scientist, you will also help guide and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you own. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a partnership focused team environment.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a bold disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.Key job responsibilities- Architect, design, and implement Machine Learning models for vision systems on robotic platforms- Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap.- Work with stakeholders across , science, and operations teams to iterate on design and implementation.- Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.- Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment- Work directly with customers and partners to test prototypes and incorporate feedback- Mentor other engineer team members.A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. This role is a 12 week internship to join AR full time (40 hours/week) from May/June- August 2025. This Amazon Robotics Intern opportunity will be based either out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.The Advanced Product Quality Engineering (APQE) organization is seeking a talented and motivated Product Quality Engineer Intern with a desire to work with a portfolio of ground-breaking advanced technologies and interface with complex and state-of-the-art manufacturing environments. You will be responsible for working with cross functional technical teams to solve problems and deploy product improvements. You will actively work with hardware, production, and external vendors to achieve the highest quality products at the lowest cost. This is an exciting opportunity to join a talented team, work on leading edge robotic and advanced technology solutions, and drive improvements and effectiveness of operations while building your career for future opportunities.Key job responsibilitiesThe Product Quality Engineer Intern will be responsible for:* Partner with stakeholders in requirements development for new product development.* Identify continuous improvement opportunities and drive team continuous improvement initiatives.* Quality defect evaluation and internal escalation/coordination. * Assist in failure analysis.* Assist in internal quality investigations and CAPAs.* Supplier development and communication to reduce defects.* Work with field quality and maintenance engineering to triage issues.* Present findings to leadership and at Quarterly Business Reviews.* Assist in data collection and visualization.BASIC QUALIFICATIONS- Data analysis skillset and experience in using visualization tools such as Tableau- Previous experience with databases, SQL and/or scripting language(s)- Understanding of metrics, process capabilities, LEAN, databases, data collection and mining- Currently enrolled in a Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, Manufacturing, Quality Engineering or related education- Currently enrolled in College/University and must have at least one semester/term/quarter of school left to complete after the end of the internship- December 2025 graduation date or later- Must be eligible and available for a full-time (40h / week) 12 week internship from May/June- August 2025 ...

Please note the following eligibility requirements to apply for this role:•Graduate from bachelor's degree program between 12/2024 and 6/2025, or graduated from bachelor’s degree program within past 24 months.•Ability to relocate nationwide. Relocation assistance provided, if eligible.•Ability to begin 40-hour/week, full-time employment in Seattle by June 2025.•We are unable to offer visa sponsorship for this role•Involvement in any one of the following Sports Categories (please highlight your athletic background, achievements, and sports areas of experience on your resume) : Skiing (Alpine and Nordic) ; Fishing ; Baseball ; Snowboarding ; Soccer ; Softball/Fastpitch ; Football ; Tennis ; Archery ; Climbing & Mountaineering ; Ice Hockey ; Lacrosse ; Kayaking ; Pickleball ; Volleyball ; Surfing ; Wrestling & Martial Arts ; Equestrian & Rodeo ; Bowling ; Skateboarding ; Rowing/Crew ; Sailing ; Cycling ; Dance, Cheer & Gymnastics ; Endurance Athletics (marathon, triathlon, swimming, weightlifting)Amazon is looking for a team-oriented, highly analytical individual with a strong passion for sports and outdoor recreation to join the Sports & Outdoors team, as we seek to become the most authentic and trusted specialty retailer for athletes and enthusiasts. The CATEGORY SPECIALIST will be responsible for developing and managing the Sport Category. This is an immersive role, responsible for a range of business development deliverables, Selling Partner relationship management, retail strategy (sales/promotions), and driving foundational improvements to our catalog and detail page structures that help to deliver a best-in-class customer experience in the Sport Category. The candidate will be responsible for meeting the following targets: brand/creator/publisher recruitment and management, product specific catalog and CX deliverables, and core P&L KPIs for the brands they work with (revenue and margin growth, selection count, etc.). They must possess a high-degree of ownership, a motivation to deliver results and track against core inputs, an ability to make data-backed decisions, and an interest to collaborate cross-functionally.In addition, this position is expected to provide expertise within their category. The CATEGORY SPECIALIST should have an in-depth understanding of what customers want/need when purchasing equipment in the Sport Category.Key job responsibilitiesThe successful CATEGORY SPECIALIST must:•Have a thorough understanding of the industry, seasonality and business trends/events, and continually monitor competitor/industry developments. •Analyze data from multiple sources and present recommendations on trends and opportunities•Possess an authentic enthusiasm/expertise for the category that allow them to interact appropriately with relevant brands, publishers, and creators•Be comfortable engaging as the first point of contact and generating new connections with external partners•Act as the primary point of contact and the internal advocate for vendors and customers, helping to prioritize actions across marketing, merchandising, catalog, and supply chain management•Manage vendor, creator and publisher relationships – covering relevant contracts, day-to-day operations, and negotiations•Manage challenging category goals, issues, and projects that improve Amazon CX while helping to meet selection, growth and profitability goals.•Understanding drivers and opportunities of the category P&L•Have a complete understanding of the customer needs, both existing and potential, and use that knowledge to advocate for and drive delivery of site features that provide Amazon customers with an unparalleled shopping experience•Contribute to category’s business strategy and break it down into actionable goals •Engage multiple stakeholders (internal & external) to problem solve, surface defects, extract and analyze data, and drive continuous improvement for the category, while meeting tight deadlines•Instituting best practices and processes which can be replicated across all categories•Act as a team player, who indexes highly on ownership and bias for action in order to meet time sensitive deliverablesBASIC QUALIFICATIONS•Are 18 years of age or older•Ability to begin 40-hour/week, full-time employment in Seattle by June 2025•Currently enrolled in a bachelor’s degree program with a graduation conferral date between December 2024 and June 2025, or graduated from bachelor’s degree program within past 24 months.•Involvement in any one of the following Sports Categories (please indicate sports areas of experience on your resume) : Skiing (Alpine and Nordic) ; Fishing ; Baseball ; Snowboarding ; Soccer ; Softball/Fastpitch ; Football ; Tennis ; Archery ; Climbing & Mountaineering ; Ice Hockey ; Lacrosse ; Kayaking ; Pickleball ; Volleyball ; Surfing ; Wrestling & Martial Arts ; Equestrian & Rodeo ; Bowling ; Skateboarding ; Rowing/Crew ; Sailing ; Cycling ; Dance, Cheer & Gymnastics ; Endurance Athletics (marathon, triathlon, swimming, weightlifting) ...

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

We are looking for a customer obsessed, analytical, and results-oriented Product Manager to join the ACE team. This role encompasses working backwards from our stakeholders to build scalable products that span across the program, from lead generation to sales opportunity lifecycle. This role is pivotal in optimizing the features and tools used by AWS Partners to drive successful customer engagements with AWS. You candidate must possess the ability to operate from a company-wide perspective and have a successful track record of driving cross-functional engagement and cross-business project and processes development. You will accomplish this by applying data driven decisions, leading continuous process improvements, driving system and process automation with key internal teams, and maintaining a deep knowledge of your customers. You must have proven experience delivering results by partnering with and influencing others. The individual will operate at all levels, strategic & tactical and integrate effective and clear analysis and business rationale into sound decision making.Key job responsibilities• Collaborate with and influence key stakeholders from Partner Org, Global AWS Sales and Sales Operations teams and other System and Application teams.• Define and manage product roadmap.• Capture, document, and communicate business requirements. Translate requirements into features and user stories. Ensure technical team understanding of requirements.• Manage technical build against business requirements.• Own project status updates to customers, stakeholders, and leadership.• Plan and conduct user testing.• Develop and execute launch plan (communications, training, user resources, etc.)• Measure and analyze the impact of existing and future program initiatives, and effectively communicate to key decision makers and leaders• Prioritization of program requirements and building consensus with cross functional teams and leadership• Drive change management and adoption of solution across AWS Partner, AWS Sales and AWS Partner Org• Manage post-launch activities (user support, new feature development, etc.)• Establish KPIs, identify gaps, and improve performance and adoption of the platform.• Deep dive problems or opportunity areas and propose solutions to address.• Generate new ideas to drive improvement, efficiency and automation enable AWS to scale and grow.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 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 responding to requests for proposals (e.g., determining requirements, matching requirements to technical approach and solutions, developing solutions against requirements) experience- 5+ years of professional or military experience- Bachelor's degree- Experience developing strategies that influence leadership decisions at the organizational level- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

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 ...

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilitiesAs an Applied Scientist with the AIT team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to will tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life· Analyze, understand, and model customer behavior and the customer experience based on large scale data. Especially showing passion towards solving for international customer-centric challenges.· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing· Contribute through industry first research to drive the innovation forward. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We are looking for an experienced Android engineer to join our team at Ring working on cross-team mobile initiatives to improve both the customer and engineer day-to-day experience.The successful candidate will be comfortable operating in an ambiguous space with strong technical ability, project management skills, and background in building solutions from the ground up. You must be able to think and act both strategically and tactically. You should be innovative, have effective engineering leadership and communication skills, and be team oriented. You must excel in navigating cross-team efforts in a variety of modern mobile technologies and be adept at delivering highly scalable, simple solutions that our customers will love.Key job responsibilitiesRing is looking for an Android Engineer to join our Android application team.You will:- Develop and deliver mobile app features, UX flows, and UI components- Collaborate with product and UX teams to develop maintainable features- Work to continuously improve code quality, code maintainability and app performance- Mentor other developers and help raise the mobile app development bar- Work with modern android development tools and principles such as MVVM, Android Navigation Component, Data Binding, RxJava, Dagger, Retrofit, Kotlin, Coroutines, Gson and othersBASIC QUALIFICATIONS- 3+ years of Android development experience- 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 ...

The Conversational Assistant Services (CAS) seeks a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in the field. They thrive in fast-paced environments, possess the drive to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers. Key job responsibilities. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. . You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use cases · Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints · Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results · Perform model/data analysis and monitor metrics through online A/B testing · Research and implement novel machine learning and deep learning algorithms and models. BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- 2+ years of building models for business application experience- 2+ years of hands-on experience in modeling and analysis, and in deploying machine learning / deep learning models in production. ...