WA

Amazon is looking for world class scientists to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions across different domains and computation platforms. 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 and work with other acclaimed engineers and world famous scientists.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 teamDiverse 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. BASIC QUALIFICATIONS- 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 ...

The Selling Partner Services Agent Development team is the training and development organization tasked with understanding the needs to hire and develop Global Seller Support Associates and Risk Investigators to support our Sellers, Vendors, and Buyers in our Amazon.com marketplace. The AD Optimization and Measurement (ADOM) team strives to ensure agents' capability to deliver the best outcomes for Amazon Sellers and Buyers by measuring and optimizing learning efficacy throughout their continuous development journey. We are a team of Researchers, Analysts, and Engineers who source and organize the right data to empower our learning experience designers and training partners to effectively measure and optimize the learner journey.Key job responsibilitiesSelling Partner Services Agent Development is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. As a Business Analyst, you will focus on solving real world problems and build business cases to enable the organization to scale and invent on behalf of its customers. A key component of the role is to identify improvement opportunities by monitoring existing metrics, analyzing data, and partnering with many internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. The ideal candidate will be expected to influence and work with other leaders within the broader organization.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

You will work closely from a highly selective group of global Amazon partners to support the growth of our mutual business and total relationship success across worldwide Amazon. We are a global strategic business development team, seeking a customer-obsessed individual with excellent business judgement, to build collaborative relationships with partner executives in the Sports Retail division of Amazon. This a highly visible role and your work will directly impact how we evolve and grow Amazon’s global business.Key job responsibilities• Working closely with Amazon and senior leadership to support business objectives• Identifying the most impactful, incremental business opportunities for your partners across total global Amazon, specific to Sports Retail.• Working closely with Amazon teams and leadership across all countries and organizations to pursue those opportunities• Understanding opportunities using data, your close internal and external working relationships, and your knowledge of your partners’ global and local businesses• Identifying and gaining alignment on the most logical path to overcome opportunity blockers, by looking around corners and finding practical/creative solutions• Independently authoring documents, emails, and presentations for senior leadershipBASIC QUALIFICATIONS• Currently pursuing an MBA/Master’s degree with a graduation conferral date between December 31, 2025 and September 30, 2026• 3+ years of full-time professional and/or military experience which occurred which occurred between graduation from your undergraduate program and prior to starting your MBA/Masters program ...

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you. Key job responsibilities- You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams.- You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.- You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. - You will design and implement scalable solutions and solve complex problems- You will mentor and coach junior software developers- You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment- You should be a self-starter with a bias towards independent problem solving.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 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!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.BASIC QUALIFICATIONS- 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 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- 1+ years of building models for business application experience- Experience with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application 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 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 ...

The Production Planning Team (PPT) needs leaders like you to deliver the future of labor planning for our North America Customer Fulfillment Network (NACF). At Amazon, delivering great experiences for our customers is a top priority. The PPT is reinventing the way Amazon plans labor as our network continues to grow. We’re setting the bar high with new automated solutions including advanced modeling and machine learning to improve accuracy and efficiency of the process. You can be an owner of this innovation and stamp your place in history as a part of the world’s most customer centric company. To join us on this journey, we are looking for individuals with strong analytical and dive deep skills who will execute high-level network decisions that have an impact at a big scale. This is a high visibility role responsible for pioneering Amazon’s Production Planning Team process with the Planning and Execution (PLEX) organization. Key job responsibilities→ Work with FC and regional leadership team→ Build the foundation and implement an innovative model for centralized labor planning across NACF. → Deliver action plans for senior managers and directors, while being a trusted partner to these network leaders. → Leverage central teams (i.e. S&OP, Central Flow, Process Engineering) to drive process and operations execution improvements.→ Use data and bias for action to work through ambiguity and deliver results. A day in the life “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!” “Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan”BASIC QUALIFICATIONS- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Amazon's Legal Department is looking for a talented attorney to support our Fulfillment Technologies and Robotics organization. You will be an integral part of the business teams you support, providing counsel on new products and services, regulatory compliance matters, commercial relationships, and disputes and inquiries. You will help business teams innovate for our customers, while helping clients anticipate and address legal risk. You will develop strategies for handling legal issues in creative, business-centric ways and you will build processes that provide your clients with the flexibility and freedom to innovate and scale quickly. The successful candidate will be inquisitive, enthusiastic about technology, enjoy working hard and being continually challenged, and demonstrate sound judgment even in ambiguous situations. This position may be based in Seattle, WA, New York, NY, or Washington, DC. As you will be working with teams who are developing products and technology that will be leveraged globally, some travel may be required.BASIC QUALIFICATIONS- Juris Doctor and membership in one state bar or equivalent- 2+ years of legal experience- Experience in private practice or in house experience at a technology company or equivalent ...

At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it, and then find and seamlessly connect them to the most appropriate resolution for their need, eventually fulfilling the vision of a self-healing cloud. We are looking for Machine Learning Scientists / Applied Scientists / ML Scientists with unfettered curiosity and drive to help build “best in the world” support (contact center) experience that customers will love!You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system.Our team packs a punch with principal level engineering, science, product, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history!Key job responsibilities- Deliver real world production systems at AWS scale.- Work closely with the business to understand the problem space, identify the opportunities and formulate the problems.- Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems.- Analyze and extract relevant information from large amounts of data and derive useful insights.- Work with software engineering teams to deliver production systems with your ML models- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationA day in the lifeAbout the teamWe are working to achieve our business goals by deriving insights from a wealth of datasets like the AWS service metrics and logs, chat and call audio logs, email transcripts, support agent and support case data, customers context and sentiment, and AWS knowledge articles, tools and workflows.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- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Have publications at top-tier peer-reviewed conferences or journals ...

Come join Earth's most customer-centric company! Amazon is looking for an AI Security Engineer with strong insight and passion for security to ensure our AI applications are designed and built to the highest standards. Your mission is to secure the AI experiences of hundreds of millions of our customers. You bring AI security talent and expertise to a fast-paced environment where you will be relied upon to partner with our talented software development teams in building secure AI applications.As an AI Security Engineer, you will work with software development teams to ensure the security of AI applications. You will review code for security issues, build frameworks to help developers create more secure software, and adjust designs to improve protection. You will also perform security research, analyze bug reports, conduct risk assessments, develop automation, maintain documentation, and create tools that reduce security risks. Your work drives secure, reliable AI applications for Amazon's customers.Key job responsibilities* You will create, update, and maintain threat models for a wide variety of software projects. * You will perform manual and automated code review, primarily in Java, Python, and JavaScript* You will develop AI security automation tools. * You will perform AI security training and outreach for internal development teams. * You will provide AI security architecture and design guidance. * You will independently solve AI security problems that require novel methods or approaches. * You will influence your team's and partners' process, priorities, and choices to improve outcomes.About the teamAbout the teamThe AppSec AI team is tasked with empowering the business to create secure, trustworthy AI applications that our customers find delightful to use. We engage closely with the business from the outset of the development process to ensure that security considerations are integrated early and consistently. This collaborative approach positions us as partners with the business, minimizing the need for security trade-offs. Our close work with product teams allows us to participate in deep technical discussions and decisions. We prioritize obtaining the right training and career growth opportunities, enabling us to Dive Deep and Earn Trust with our development teams.About Amazon SecurityDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- Knowledge of GenAI systems and associated security vulnerabilities and remediation techniques, including penetration testing and the development of exploits or equivalent- Experience with any combination of the following: threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security.- Bachelor's degree in computer science or equivalent, plus 3+ years of security engineering experience. ...

The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon’s own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon.This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities- Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch. For example, starting from deep scientific thinking about new ways to support customers’ journeys through discovery, you analyze how customers discover, review and purchase Private Brands to innovate marketing and merchandising strategies. - Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and eventually preliminary results. - Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions. - Present results, reports, and data insights to both technical and business leadership. - Constructively critique peer research and mentor junior scientists and engineers. - Innovate and contribute to Amazon’s science community and external research communities.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- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.Amazon Business (AB) teams are disrupting the status quo of Business to Business (B2B) by delivering new, efficient purchasing solutions to individual proprietors, to small-medium businesses, to large global organizations (and everything in between). Within AB, the AB Third Party (AB3P) Seller Marketplace is multi-billion-dollar P&L connecting business customers with third party sellers globally, and relentlessly innovating across a broad spectrum of functions including expanding our selection, building B2B-specific features, offering everyday low prices, improving world-class delivery, and setting up our sellers for success.AB3P is seeking a dynamic and motivated Sales Representative for our third-party direct sales team. The Sales Representative will be responsible for recruiting and assisting businesses to sell their products to Amazon Business customers. The Sales Representative will be expected to develop and manage a transactional sales pipeline of targeted accounts while executing sales strategies to meet selection and revenue goals. In this role, you will be responsible for prospecting, identifying, initial outreach, follow-up, and closing prospects from commitment to launch to selling products on Amazon Business. You will be the point of contact for owners and senior leadership at companies throughout the sales process and responsible for identifying and building relationships with influencers and decision makers. You will also work with internal stakeholders and cross-functional teams to create and present compelling solutions that exceed customer requirements and accelerate new seller growth on Amazon Business.This role can be based in one of the following locations: Seattle, WA; Austin, TX; Tempe, AZ; Dallas, TX; Arlington, VA; New York, NY; or Boston, MA.Key job responsibilitiesA successful candidate will have the skills and passion to drive Selling Partner business growth and deliver a positive experience with our program. The key responsibilities of a New Seller Recruitment Rep include but are not limited to:* Execute a playbook for the recruitment and on-boarding of net-new Selling Partners, working together with the leaders across various stakeholder teams including Compliance, Legal, Marketing, Restricted Products, Listing Creation, Integration, and Category Business Development team.* Identify and build relationships with key influencers and decision makers within prospective accounts, along with internal stakeholders and cross-functional teams to*Create and present compelling Amazon solutions to drive performance improvements across key inputs including selection, listing quality, pricing, and fulfillment* Develop and manage a transactional sales pipeline of prospect accounts while executing sales strategies that drive revenue and exceed customer expectations.* Conduct deep dive analysis on issues affecting Seller business performance and communicate the Voice of the Seller internally as an input into product development and process improvement* Demonstrate time-management skills and the ability to work independently while using centralized resources, policies and procedures.* Develop a thorough understanding of the e-commerce industry including knowledge of B2B product offeringsBASIC QUALIFICATIONS- 1+ years of professional or military experience- Experience prospecting, qualifying, and cold-calling companies- Knowledge of Microsoft Office products and applications- Experience and track record of exceeding sales goals ...

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

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.Key job responsibilities• Lead negotiations and customer closure for strategic, large, complex or highly competitive deals.• Develop and shape the overall deal strategy and structure to meet customer business outcome and goals• 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.)• Act as a trusted advisor in the development of the commercial strategy of deals with AWS Field Sales Executives: partner in the execution of the sales cycle for strategic, complex, or highly competitive commercial opportunities• Inspire, influence, and facilitate alignment with internal stakeholders, experts, and other resources not under direct control, to remove obstacles and achieve desired business outcomes• Develop strategies for pricing and discounts; effectively communicate and identify deal blockers• Lead or support presentation of deal proposals to Customers• For key deals and escalations, take a leadership role in developing the winning strategy, coaching the field team, and managing the SCE deal team.• Act as a trusted advisor to regional leadership to support AWS’s strategy.• Contribute to developing AWS’s value proposition and solutions.• Drive revenue growth and Cloud adoption.• Closely collaborate with key stakeholders across the organization, including regional sales teams, and related regional and global stakeholders (Service Teams, Finance, Legal, etc.).About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why 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.Sales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.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.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) ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. Join a diverse, dynamic, and enthusiastic team of environmental compliance professionals who play a leading role in air quality permitting and compliance at Amazon Web Services (AWS), where we have a history of leading the world in innovative technologies and services. As a member of the Air Permitting team, you will develop and implement environmental programs aimed at ensuring compliance with air quality regulations and standards in the Americas while also enabling AWS’s growth around the world.As an Air Quality Engineer you will play a key role in air permitting and air quality compliance for new and existing AWS facilities in the Americas (AMER) region. You will be the environmental representative on behalf of the AWS Environmental Team in AMER responsible for the successful delivery of air permitting projects. You will partner with stakeholders across AWS to develop standards and mechanisms that incorporate air quality permitting into the process of planning, building, and operating data centers. You will manage strategic air quality engineering and air permitting projects and provide regulatory compliance guidance for both design and operations teams. The Air Quality Engineer will also work with internal and external partners that include government entities, AWS regional environmental engineers, consultants, design, construction, operations and other key stakeholders. You will regularly engage with stakeholders; report to AWS Environmental leaders; and ensure risks to air permitting and compliance pathways are being appropriately identified, communicated, and managed.The successful candidate will have a strong track record of air quality engineering solutions and air permitting in North America, the demonstrated ability to deliver multiple high priority projects simultaneously, the ability to drive alignment across teams with competing priorities, and be a strong advocate for air quality compliance and sustainability.Key job responsibilities• Function as a leader for air permitting work in AMER by managing the preparation of air permit applications for new construction, modifications, amendments, and renewals.• Manage contracts and relationships with environmental consultants and testing firms to complete air permit applications and air dispersion modeling analyses.• Manage regulatory agency interactions for permit evaluation and processing, and new process and technology introduction.• Prioritize and manage multiple technically complex assignments concurrently.• Represent Amazon at appropriate levels with governmental agencies and throughout the company.• Review environmental permitting requirements for new power generation technologies, including both prime power generation and back up emergency power for data centers.• Identify permitting implications of both onsite and offsite power generation and supply to data centers (in front of and behind meter).• Identify applicable climate/energy regulations and implication on development of both traditional natural gas power generation and alternative/clean energy solutions.• Work collaboratively with energy, design engineering, public policy, capacity delivery, real estate, due diligence, and legal teams on large scale projects with undefined scope and drive towards sustainable long term energy supply solutions.• Knowledge of/experience with natural gas and hydrogen based energy generation.• Must have experience with Title V, NANSR, and PSD air permitting in the US.• Must have experience with data center permitting and compliance.A day in the lifeThis role's primary focus is to function as an environmental air quality engineering leader and implement centralized management systems that support AWS growth and compliance in the Americas. You will work directly with partner teams throughout the data center development lifecycle to encourage sustainable air quality development and design and to ensure compliance compliance with local, state and federal air regulations. Beyond the day-to-day responsibilities, you will monitor and review evolving and emerging air quality permitting/modeling regulations; you may be required to assess impact(s) of regulatory changes to AWS and propose course of action.The AWS Enviromental team is a dynamic team that is critical to enabling AWS’s growth around the world, as well as ensuring compliance of AWS’s global operations, including physical data centers, as well as other AWS facilities, customer-facing enterprises and products. The Environmental team has responsibility for architecting and implementing AWS’s global environmental programs. This includes defining and implementing risk management and compliance systems and driving their continuous improvement; setting and refining global policies and procedures; overseeing the development of standards, tools, auditing and metrics, and employee training; ensuring effective engagement by environmental teams on global initiatives, including those that are part of Amazon’s ambitious sustainability goals; providing specialist expertise; and engaging with all AWS business units to provide scalable and effective compliance strategies that support current and future business objectives while ensuring compliance with environmental regulations.About the teamAWS Infrastructure Services (AIS) 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.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.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS• 5+ years of experience with air quality regulatory assessments and air emissions evaluations, serving as an environmental technical resource, program specialist, or program manager • 5+ years of experience with air permitting at local, state (e.g., minor source/synthetic minor source), and federal (e.g. Title V, NSR, PSD) levels • 3+ years of experience with air dispersion modeling analyses (AERMOD) in support of air permit applications and NAAQS evaluations• 3+ years of experience with engine specific regulations including 40 CFR 63 Subpart ZZZZ and 40 CFR 60 Subpart IIII ...

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

We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure. About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. About the teamDiverse 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. 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.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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career 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. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

Help us protect not only the Amazon Web Services (AWS) cloud computing environment but all of our customers as well! Since 2006, our great team at AWS has been enabling our customers to bring great ideas to life in ways that aren’t possible in traditional IT environments. With AWS you can flexibly harness compute, storage, security, and other services from across the globe as your business demands them. AWS Security is on the cutting edge of many security issues for a wide variety of platforms and technologies including cloud services, Internet of things (IoT), identity and access management, mobile devices, virtualization and custom hardware, all operating at massive scale. Similarly, our highly collaborative team is committed to each team member’s growth as our business grows. AWS Security is looking for an Application Security Engineer to help validate that our services, applications, and websites are designed and implemented to the highest security standards. You will be responsible for analyzing the security of applications and services, discovering and addressing security issues, building security automation, and quickly reacting to new threat scenarios. You will have the opportunity to learn from, and be mentored by, those who are building and securing our cutting-edge services. A Security Engineer at Amazon is expected to be strong in multiple domains and provide significant contributions to the AWS IT Security team and to multiple groups throughout Amazon. Security engineers are expected to develop elegant solutions to complex business problems and apply appropriate technologies while following security engineering best practices. You are also expected to mentor more junior engineers and be a security thought leader for the organization. A Security Engineer must foster constructive dialogue and seek resolution when confronted with discordant views. Engineers in this role are expected to participate fully in the planning of the AWS IT Security team's work and constantly seek opportunities for process improvement. They should also have a deep understanding of at least one specialty for which they are a sought out resource (both within AWS IT Security and by groups throughout Amazon), while having an understanding of the application of Information Security in a broad range of technical areas. You will have the combination of troubleshooting, technical, and communication skills, as well as the ability to handle a mix of disparate tasks which may include project and software development work. This role will provide career growth opportunities as you gain new security skills in the course of your duties. Key job responsibilities• Application security reviews • Mobile security reviews • Secure architecture design • Threat modeling • Projects and research work as needed • Security training and outreach to internal development teams • Security guidance documentation • Security tool development • Security metrics delivery and improvements • Assistance with recruiting activities and administrative workAbout the teamAbout Amazon SecurityDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- BS (or higher) in Computer Science or related field, or equivalent work experience.- 5+ years of experience in application security with any combination of the following: threat modeling experience, secure design reviews, code reviews, pen-testing- Expertise in multiple security domains such as identity management and authentication, cryptography, networking, web protocols ...

Do you want to join an innovative team of scientists who use deep learning, natural language processing, large language models to help Amazon provide the best seller experience across the entire Seller life cycle, including recruitment, growth, support and provide the best customer and seller experience by automatically mitigating risk?Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience? Do you like to build end-to-end business solutions and directly impact the profitability of the company? Do you like to innovate and simplify processes?If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group.Key job responsibilitiesThe scope of an Applied Scientist II in the SPS Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with project leaders, engineers and business partners to design and implement solutions at scale. The scientist focuses on components of large-scale projects, systems and products and can work independently and with the team to deliver successful solutions with medium to large business impact. The scientist helps our team evolve by actively participating in discussions, team planning, and by staying current on the latest techniques arising from both the scientist community in SPS, the larger Amazon-wide community, and beyond. The scientist develops and introduces tools and practices that streamline the work of the team, and he mentors junior team members and participates in hiring.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 ...

The AWS Core Networking Organization is looking for an Applied Scientist to join our Backbone Enterprise, and Regional Engineering (BERE) team. In this role you will work hand-in-hand with Software Development Engineers, Network Engineering, Finance teams and other partners to drive stability, consistency, and sustainability of the network while never losing sight of the high security bar our customer’s demand. You’ll apply your large-scale understanding of data analysis, computing solutions to develop algorithm, write code and manage services that delight our customers. AWS Global Connectivity and Network Availability (GCNA) is the backbone that connects the global AWS network. Focused on controlling the internet traffic that allows users to access their information and applications regardless of where they are in the world. GCNA is responsible for building and designing a complex backbone network that allows internet traffic to flow efficiently between data centers and customers. Come join us and enjoy the satisfaction that comes from successfully building software to scale and provide insights about one of the world’s biggest networks. 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.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. 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. Key job responsibilitiesApplied Scientist will develop data analysis alogrithm and software that will allow AWS to understand and tailor the network for our internal and external customer needs. The networking teams need detailed information about traffic distribution, performance, infrastructure cost to design, deploy and operate the optimal network.Design, implement, test, deploy and maintain innovative data analysis algorithm.Write supporting software in collaboration with and according to Senior Software Engineer design.Work in an agile, startup-like development environment, where you are always working on the most important stuff. Take ownership and do what it takes to get the job done. Learn from others and help grow those in your team to achieve their bestA day in the lifeEngineers in the Backbone Enterprise and Regional Engineering (BERE) organization have a wide range of responsibilities: we work with internal partners to develop and implement the next gen platforms along with the tooling ecosystems to support with these platforms driving efficiency and scalability through the automation of builds, configuration deployment, and the scaling of capacity. As our network is one of the largest in the world, there is no blue print at our scale allowing our engineers to develop solutions to the complex challenges that we face daily. We encourage durable solutions that look around corners while taking into consideration our customer needs from a cost, performance, and reliability perspective. Our team develops tooling that provides the required visibility and control of traffic across the network, while prioritizing the automatic mitigation of events to minimize the impact to our customers during events. Lead discussion with our partners to investigate integration solution. Work with customer on data information requirements for business workflow. Develop algorithm in collaboration with teammatesManage customers during problem resolution and operating efficiently under pressure. Sit at the computer during scheduled work hours with appropriate breaks while maintaining a high level of alertness and attention to detail. About the teamAWS Infrastructure Services (AIS)AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Within AWS Networking, the Backbone Enterprise, and Regional Engineering (BERE) organization is responsible for the design, implementation, and operations of a wide array of networking infrastructure that provide global connectivity between all AWS Regions and edge locations. BERE provides the massive scale required to support our AWS customers and internal services, via a network that grows by 70% annually. In addition, they have teams that are responsible for the design and operation of our global corporate office and data center network, allowing tens of thousands of Amazonians to perform their daily tasks in support of our customersBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience 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 ...