Santa Clara

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI background, and technical skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) GenAI team as a Worldwide Go to Market Specialist!The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which 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. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. Within WWSO, this position is part of the Worldwide Specialist strategic collaborations team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our GenAI services and solutions via collaborations with our strategic partners. You will directly engage with our partners, develop joint-GTM motions and work with internal teams to help our customers tap into new markets by utilizing GenAI. You will drive joint-GTM goals by engaging with customer, conducting external/internal evangelism, developing demos and proof-of-concepts of GenAI applications/use cases utilizing large models.You will have the opportunity to establish new strategic initiatives with key customers/partners, define go-to-market (GTM) strategies for GenAI and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities include market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions.As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in GenAI and key ML use cases, have technical depth to articulate the benefits of our GenAI-related services and solutions to data scientists, and line of business and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers and strategic partners.You will drive the development and execution of the GTM plan with strategic GenAI partners for building and scaling GenAI solutions cutting across several AWS services and solutions. You will work across GenAI BD & Solution Architect (SA) teams to interact with customers to understand their business problems, and work with partners and AWS SAs to define and implement scalable GenAI solutions to solve them. You will conduct external/internal evangelism, and develop and publish thought leadership assets such as blogs and case studies. You will collaborate with other teams within AWS such as product teams, field solutions architecture, sales, marketing, as well as representing your team to executive management. You should be passionate about helping customers/partners understand best practices for operating on AWS. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation. This is an opportunity to be at the forefront of technological transformations, as a key leader.Key Responsibilities:• Leverage your deep domain expertise in AI/ML or GenAI to create best in class field enablement and sales strategy.• Support field teams in solution building for high priority customers.• Bring market signals back to product teams to drive innovation on AWS product roadmaps.• Own reporting and planning cadences to AWS executives on GTM plan execution.• Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, etc.About the teamAmazon 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. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. AWS 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. BASIC QUALIFICATIONS- Bachelor's degree- 7+ years of relevant GTM, Sales, or Consulting experience- 5+ years of GenAI and/or AIML experience ...

Amazon is seeking a Supply Chain Manager with a strong delivery record and proven project management experience to own strategic, tactical, cross-functional and technology projects and programs across multiple verticals. This role requires scoping and creating project plans, developing processes, coordinating and driving execution, and communicating to senior management on status, risks and process/product changes. Cross-team coordination, project management and executive presentation skills are essential. The ideal candidate will leverage extensive project management experience, combined with deep analytical capabilities and a keen sense of innovation, to lead complex projects from conception to completion.We are seeking a Supply Chain Manager to effectively manage the creation and enhancement of our supply chain and transportation networks. In this role, you will scope large projects, track project timelines, and develop mechanisms for communicating status, risk, and business challenges. The ideal candidate must be adept at cross-team coordination, project management, and analyze data, with a proven history of delivering results.Key job responsibilities- Supply chain, transportation, or logistic network management solution experience- Manage and oversee various cross-functional programs, ensuring successful delivery.- Develop and refine program strategies, effectively leading and motivating teams.- Set clear objectives for programs, leveraging data analytics to drive improvements and achieve metrics.- Navigate and resolve ambiguities in business scenarios, applying creative problem-solving skills.- Foster collaboration with internal and external partners to optimize resource allocation and project success.- Evaluate and prioritize projects in conjunction with customer needs and technical team inputs.- Bridge gaps in team dynamics, processes, and systems, preventing common project pitfalls.- Identify and mitigate risks, preventing them from escalating into major issues.- Regularly communicate with senior managers, business leaders, and other stakeholders to - support key business initiatives.- Develop, implement, and oversee KPI reporting for a program portfolio, ensuring clear visibility of milestones and project performance.- Manage and communicate project budgets effectively.About the teamAmazon's vision for the future is one where Fulfillment Centers operate as a local store with up to 60% of flows for each DS will come from a single upstream FC. We envision Amazon’s Outbound Supply chain to be the benchmark for Performance, Speed and Cost, and do not believe in prioritizing one service over the other. The ideal network design is one that lowers cost-to-serve and, in the process, does so with a positive impact on delivery speed and reliability. The Network Optimization through Regional Design (NORD) Team's mission is to create the roadmap to enable this vision and drive cross-functional initiatives to make rapid progress towards it. The team will work across the breadth of the Supply Chain to identify opportunities to improve placement, make better fulfillment decisions and guide the development of the right infrastructure and network design to bring it all together. 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) PlanLearn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 3+ years of program or project management experience- 3+ years of working cross functionally with tech and non-tech teams experience- 3+ years of defining and implementing process improvement initiatives using data and metrics experience- 2+ years of supply chain experience- Bachelor's degree- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL- Experience defining program requirements and using data and metrics to determine improvements ...

Are you passionate about designing and developing highly available and large-scale services? Would you like to invent and build solutions for customers that truly make a difference in their business? Are you an experienced VMware Systems development engineer and a self-starter who is excited to build something new and work at cloud scale? If the answer is yes, then we have an exciting opportunity for you to work in the Amazon Elastic VMware Service team. A wave of innovation is bringing sweeping changes to EC2 services with new virtualization capabilities, deep platform integrations, and unimaginable scale revolutionizing traditional thinking around how we run enterprise workloads in the cloud. We are looking for a Systems Development Engineer to build new capabilities to help customers run VMware-based workloads on AWS. The AWS Commercial Applications team within Amazon EC2 defines and builds integrations with external software applications running in cloud environments and helps to modernize enterprise customer workloads. Our team just announced Amazon EVS and is expanding and continuing to build new capabilities for our customers migrating and running VMware-based workloads on AWS.Key job responsibilitiesAs a SysDE in the VMware team, you'll work alongside outstanding builders, principle engineers, and business leaders to create new capabilities that provide enhanced experience for our customers running VMware workloads. All team members actively participate in product definition, technical architecture reviews, iterative development, code review, and operations. Along with this, you’ll have the opportunity to interact with customers to understand and ensure their needs are met. Clear, professional, verbal and written communication with teammates and customers is an important part of the job. Our SysDE’s are expected to have a comprehensive knowledge of VMware deployments, VMware Cloud Foundation (VCF), ESXi, vSAN, and NSX. Strong proficiency in automating software deployments and operations using scripting languages such as Bash, Python, and PowerShell is essential. You will be leading performance testing and/or bench marking of AWS infrastructure for VMware workloads and driving continuous improvements. You will be Design and implement software-defined networking solutions, such as virtual switches and overlay networks, to enable flexible and programmable network infrastructure.You will be inventing the foundation for the next phase of the products and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should enjoy working on complex systems, be customer-centric, and have a proven track record of building exceptionally high quality software that delights customers.About the teamOur team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent- Knowledge of systems engineering fundamentals (networking, storage, operating systems)- 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Experience with PowerShell (preferred), Python, Ruby, or Java- Hands on deep technical experience with VMware technologies, including, ESXi, vSAN, NSX and VCF ...

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? You will be part of the core worldwide GenAI Models team, responsible for helping our customers build, deploy and utilize Generative AI (GenAI) models to power end applications and use cases across industry verticals. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. AWS works with a number of GenAI model producers, you will be working directly with them around model performance evaluations, developing demos and proof-of-concepts of GenAI end applications / use cases, and contributing technical enablement assets across whole of AWS with large models (text, vision and other modalities).Key job responsibilitiesYou will help develop the industry's best cloud-based solutions to grow the GenAI business. Working closely with our product and field teams, customers, and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. This involves activities like market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts (POC), creating content to train the field teams, and driving thought-leadership.You will possess a business and technical background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like LangChain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloud.You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.You should be passionate about helping companies/partners understand best practices for operating on AWS. An ideal candidate will be adept at interacting, communicating and partnering with other teams within AWS such as product teams, solutions architecture, sales, marketing, business development, and professional services, as well as representing your team to executive management. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.This is an opportunity to be at the forefront of technological transformations, as a key technical leader.About the teamAmazon 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. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. AWS 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. BASIC QUALIFICATIONS- 2+ years of design, implementation, or consulting in applications and infrastructures experience- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- 10+ years of IT development or implementation/consulting in the software or Internet industries experience ...

Amazon CloudWatch is the native AWS monitoring and observability service for cloud resources and applications. We are seeking a talented Senior Applied Scientist to develop next-generation scientific methods and infrastructure to support a core AWS business that delivers critical services to millions of customers operating at scale. This is a high visibility and high impact role that work on highly strategic projects in the AI/ML and Analytics space, will interact with all levels of AWS leadership.We are developing solutions that not only surface the “what” but also the “why” and “how to fix it”, without requiring operators to have extensive domain knowledge and technical expertise to efficiently troubleshoot and remediate incidents. Using decades of AWS operational excellence coupled with the advances in LLMs and Gen-AI technologies, we are transforming the very core of how customers can effortlessly interact with our offerings to build and operate their applications in the cloud.We are hiring to grow our team, and are looking for well-rounded applied scientists with backgrounds in machine learning, foundation models, and natural language processing. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, mission driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesAs an Applied Scientist II you will be responsible for* Research and development of algorithms that improve training of foundation models across pre-training, multitask learning, supervised finetuning, and reinforcement learning from human feedback* Research and development of novel approaches for anomaly detection, root cause analysis, and provide intelligent insights from vast amounts of monitoring and observability data* Collaborating with scientists, engineers, and Product Managers across CloudWatch team as well as directly with customers* Lead key science initiatives in strategic investment areas of AI/ML/LLM Ops and Observability* Be an industry thought leader representing Amazon at top-tier scientific conferences* Engaging in the hiring process and developing, growing, and mentoring junior scientistsA day in the lifeWorking closely with and across agile teams, you will be able to see and feel the impact of your work on our customers. This is a high visibility and high impact role that will interact with all levels of AWS leadership. Our ideal candidate is excited about the incredible opportunity that cloud monitoring represents and is deeply passionate about delivering the highest quality services leveraging AI/ML/LLMs. You’re naturally customer centric and thrive in a fast-paced environment that requires strong technical and business judgment and solid communication skills.About the teamAmazon CloudWatch Logs is a core monitoring service used by millions of AWS customers. We move fast and have delivered remarkable products and features over the last few years to streamline how AWS customers troubleshoot their critical applications.Our mission is to be the most cost effective, integrated, fast, and secure logs management and analytics platform for AWS customers.We are a diverse group of product and engineering professionals that are passionate about delivering logging features that delight customers operating at any scale.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 Amazon SageMaker Low-Code/No-Code team team is looking for a passionate, highly skilled and inventive Senior Applied Scientist with strong machine learning background to lead the development and implementation of state-of-the-art automated ML systems that aid the jobs of a data scientist and machine learning engineer with automation.As a Applied Scientist, you will play a critical role in driving the understanding of the development of automation techniques for machine learning and data science. You will handle Amazon-scale use cases with significant impact on our customers' experiences. Our team thrives on white-box understanding of machine learning and a connection to scientific principles (in addition to mathematical and statistical principles). Key job responsibilities- Create objective functions for automation of machine learning and data science.- Innovate new methods for evaluation, simplification, and creation of models for classification, regression, forecast and language modeling.- Research in advanced customer understanding and behavior modeling techniques.- Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification- Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results- Think Big about the arc of development of conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the teamA day in the life- Create prototypes- Educate engineers on design and implementation issues of automated machine learning systems- Help engineers with customer requestsAbout the teamThe LCNC team uses statistical, information-theoretic, and physical methods to automate the creation, tuning, and evaluation of models and to create data insights. We work across multiple AWS products, including AWS Sagemaker, to enhance the user experience by bringing more personal context and relevance to customer interactions.About AWSDiverse 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.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 US Amazon offices.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.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 ...

mmPROS Surface Research Science seeks an exceptional Applied Scientist with expertise in forecasting and risk modeling to optimize Amazon's middle mile transportation network, the backbone of its logistics operations. Amazon's middle mile transportation network utilizes a fleet of semi-trucks, trains, and air planes to transport millions of packages per day as well as other freight between warehouses, vendor facilities, and customers, on time and at low cost. The mmPROS Surface Research Science team delivers innovation, models, algorithms, and other scientific solutions to efficiently plan and operate the middle mile surface (truck and rail) transportation network. The team focuses on large-scale problems in vehicle route planning, capacity procurement, network design, forecasting, and equipment re-balancing. Your role will be to build innovative forecasting, risk quantification, and other machine learning models to decide the optimal long-term and short-term strategy for truck capacity procurement and other planning problems.Your models will impact business decisions worth billions of dollars and improve the delivery experience for millions of customers. You will operate as part of a team of innovative, experienced scientists working on machine learning and optimization problems, and you will work in close collaboration with partners across product, engineering, business intelligence, and operations. Key job responsibilities- Design, develop, and implement forecasting models, risk models, and other machine learning models to inform our hardest planning decisions.- Implement machine learning and risk models in Amazon's production software.- Lead and partner with product, engineering, and operations teams to drive modeling and technical design for complex business problems.- Lead complex modeling and data analyses to aid management in making key business decisions and set new policies.- Write documentation for scientific and business audiences.About the teamThis role is part of mmPROS Surface Research Science. Our mission is to build the most efficient and optimal transportation network on the planet, using our science and technology as our biggest advantage. We aim to leverage cutting edge technologies in optimization, operations research, and machine learning to grow our businesses and solve Amazon's unique logistical challenges.Scientists in the team work in close collaboration with each other and with partners across product, software engineering, business intelligence, and operations. They regularly interact with software engineering teams and business leadership.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience- 1+ years of programming in Java, C++, Python or related language experience- Experience building machine learning models or developing algorithms for business application ...

Do you want to grow and be part of a team that is building hybrid-edge cloud services used in virtually all corners of the world, in the most demanding industries, and the most challenging use cases? If you said yes, come join the AWS EC2 Edge Frontier family of services and help us revolutionize the world of hybrid-edge cloud computing!AWS Outposts is a family of fully managed solutions delivering AWS infrastructure and services to virtually any on-premises or edge location for a truly consistent hybrid experience. Outposts solutions allow customers to extend and run native AWS services on premises, and is available in a variety of form factors, from 1U and 2U Outposts servers to 42U Outposts racks, and multiple rack deployments.With AWS Outposts, customers can run some AWS services locally and connect to a broad range of services available in the local AWS Region. Run applications and workloads on premises using familiar AWS services, tools, and APIs. Outposts supports workloads and devices requiring low latency access to on-premises systems, local data processing, data residency, and application migration with local system interdependencies. AWS EC2 Edge Frontier technology enables delivery of AWS services, and more specifically EC2, closer to customers and their infrastructure, outside the confines of an AWS Region. The Frontier technology businesses based on it including AWS Outposts, Wavelength, Local Zones, Telco, and Snow. Within EC2 Edge, the Frontier Core Engineering team is responsible for developing, provisioning, deploying, and operating the core software and devices running on the deployed Frontier and Snow devices.Key job responsibilitiesAs an experienced developer on the team, you will contribute to all aspects of the software development life-cycle with a strong focus on embedded software: bootstrap, OS, file system & encryption as well as testing and deploying software and firmware updates to Snow and Frontier devices.You will design and develop secure, reliable, scalable, and high-performance on-device software that helps expand the edge compute business. You will also contribute to cloud-based software to prepare devices for use. You measure and identify areas of improvement in our frameworks, tools, processes and strive to make them better. You will own the new features from inception through development and release.We are constantly evaluating our success metrics and are obsessed with identifying new ways to measure our solution’s effectiveness and how to improve them. Work/Life Balance - Our team puts a high value on work-life balance. On-Call Responsibility - This position involves on-call responsibilities. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our products are exceeding customer expectations. When we do get paged, we work together to resolve the issue and ensure that root cause is addressed systemically.Mentorship and Career Growth - Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our SDEs and other AWS EC2 Edge members truly enjoy mentoring and on-boarding new SDE members through one-on-one mentoring and thorough, but kind, doc reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded SDE and enable them to take on more complex features and services in the future.Inclusive Team Culture - Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.The AWS Industry Products (AIP) team directly collaborates with strategic customers to build new, industry-specific products that directly impact and transform industries at AWS scale. We are a team of innovators that tackle difficult problems, and build products through fast iteration in a start-up like environment.We are looking for a Software Development Engineer obsessed with customer success, passionate about solving difficult problems, specifically for the automotive industry and delivering new products at AWS scale.As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying features part of a Highly-scalable distributed systems for our largest automotive customers. You will work closely with other engineering and product stakeholders to develop new features and solutions that solve broader industry challenges. You will also contribute to the best practices that enable a quality product. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment.Key job responsibilities* Work backwards from customer needs, collaborate with product and other stakeholders to define and deliver highly-scalable technical solutions* Own the full software development lifecycles from design, implementation, testing, deploying, and operating the product at scale* Communicate effectively with team members and stakeholders to gather requirements, describe product features, review technical designs, etc.* Participate in the hiring process as well as mentor others - improving their skills, their knowledge of your software, and increase team’s productivity.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 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 ...

AWS is looking for world class scientists and engineers to join Amazon Q Developer Machine Learning team to develop groundbreaking generative AI technologies like Amazon Q and CodeWhisperer. Our scientists push boundaries in training large language models, code generation, retrieval-augmented generation, and beyond to invent creative solutions. You will invent, implement, and deploy state-of-the-art machine learning solutions at Amazon scale, having a direct impact on revolutionary products used by millions. You will make breakthroughs that challenge the limits of AI and machine learning while collaborating with leading academics and interacting directly with customers to bring new research rapidly to production. You will publish your work at top Machine Learning and Natural Language Processing conferences.The Amazon Web Services (AWS) Next Gen DevX (NGDE) team uses generative AI and foundation models to reimagine the experience of all builders on AWS. From the IDE to web-based tools and services, AI will help engineers work on large and small applications. 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.About 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.A day in the lifeDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.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 ...

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.Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we’re looking for a Technical Account Manager (TAM) to support our customers’ creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Big Data, Application-level services, Networking, Serverless and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to organizations ranging from start-ups to Fortune 500 enterprises. As a Senior TAM, you will help craft and execute strategies to drive our customers’ adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer’s environment, and drive discussions with senior leadership regarding incidents, trade-offs, support and risk management. You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers’ AWS environments operationally healthy. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed. The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us! About the teamAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- Bachelor’s Degree in Computer Science, Math, or related discipline, and 2+ years of equivalent work experience or 4+ years of related work experience.- 2+ years of technical engineering experience- Experience in Information Technology operations ...