Bellevue

We are seeking a stellar External Reporting manager to join the Global Service Compliance (GSC) team supporting Amazon’s Project Kuiper. Amazon’s Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.We are looking for someone who is enthusiastic about technology, enjoys being continually challenged, and demonstrates sound judgment even in ambiguous situations.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesWorking closely with the business, legal, and other teams, you will develop out-of-this-world strategies for handling compliance obligations in creative, business-centric ways that allow Kuiper to move quickly. As the manager of External Reporting for Kuiper GSC, you will lead a team that will execute Kuiper’s various external reporting requirements around the globe. To be successful in this role you will foster deep subject matter expertise in communications regulations for your team. You will direct the cadence of reports for timely filing and drive a high sense of urgency to optimize mechanisms necessary to meet global communications service provider compliance obligations. You will maintain an up-to-date view of Kuiper’s communications service provider obligations, the Kuiper business, and the relevant regulatory regimes in terms of execution of compliance activities and prescribed performance indicators. You will ensure early escalation and visibility for immediate problem solving across your program. BASIC QUALIFICATIONS- 5+ years’ experience managing team(s) executing legal and/or regulatory requirements - 5+ years’ experience interfacing with regulators and their administrators- 5+ years’ experience of accountability for KPIs of a team ...

The Global Real Estate and Facilities (GREF) team provides real estate transaction expertise, business partnering, occupancy planning, capital investment management, workplace strategy and facility operations for Amazon’s corporate office portfolio globally. This role is on the Global Business Partnering (GBP) team who’s overarching purpose is to create a bridge between each business unit and GREF to align real estate strategies in support of business objectives. As a Manager on GREF’s Business Partnering team, you will serve as a business partner (BP) for the Devices and Services (D&S) business unit, working with the org's and GREF’s senior leaders. This role connects Amazon’s Devices and Services business globally to all of GREF’s services and programs, requiring a high-degree of cross-functional collaboration. The role serves two primary functions: 1/ identify and reduce defects pertaining to Devices and Services corporate real estate so that we may improve both D&S and GREF’s ability to scale; and 2/ elevate the influence of GREF’s suite of products and programs within D&S to provide greater customer experience and efficiencies.The optimal candidate is an experienced business partner who excels in an entrepreneurial culture, building trust quickly. They have a strong mastery of the range of challenges and scope within corporate real estate and workplace experience. They have vision, strong leadership and communication skills, and are comfortable with C-Suite executives. This person must be able to dive deep and deliver on behalf of the customer while dealing with ambiguity.You will implement real estate and workplace reporting mechanisms to support Amazon leaders with the data, analytics, and insights necessary to inform their business goals and spend approvals. Key job responsibilities- Partner across enterprise partners (e.g., Finance, PXT, Public Relations, Legal, Security, etc.), all cross-functional GREF real estate teams, Corporate FP&A, and Public Policy to support executive leaders in managing through ambiguity while inspecting and understanding the consequences of choices and trade-offs.- Build systems and tracking mechanisms to deliver agreed upon SLAs - Establish rhythm of business for each org, integrating GREF into business-level OP1/OP2 planning process and WBR/MBR/QBR cadence- Implement reporting mechanisms to support D&S leaders with data, analytics, metrics and research to make the best decisions- Balance D&S expectations and needs with Amazon fiduciary stewardship, as well as cost savings mandates and GREF standards/protocols - Lead and support the development and delivery of S-team executive-level real estate presentations, recommendations, and business cases; incorporate input from GREF teams to secure decisions and alignment for those presentations- Oversee issue escalation processes- Partner with GREF teams and external stakeholders to drive the successful development, implementation, and execution of GREF strategies across organizations and regions - Provide thought leadership, industry best practices and market insights to D&S leadership to inform recommendations and decisionsBASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience owning program strategy, end to end delivery, and communicating results to senior leadership- Experience using data and metrics to determine and drive improvements- Experience implementing repeatable processes and driving automation or standardization- Experience working cross functionally with tech and non-tech teams ...

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.Amazon Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization group is seeking Manager Research Science with expertise in Machine Learning and/or Optimization and a proven record of leading scientists and solving business problems through scalable ML solutions. FPX Science tackles some of the most mathematically complex challenges in transportation planning and execution space to improve Amazon's operational efficiency worldwide. We own Amazon’s global fulfilment center and transportation planning and execution. The team also owns the short-term network planning and execution that determines the optimal flow of customer orders through Amazon fulfilment network. This includes developing sophisticated math models and controllers that assign orders to fulfilment centers to be picked and packed and then planning the optimal ship method in terms of cost, speed and carbon impact to deliver to the customer. These plans drive downstream decisions that are in the billions of dollars at Amazon Scale worldwide. The systems we build are entirely in-house, and are on the cutting edge of both academic and applied research in large scale supply chain planning, optimization, machine learning and statistics. These systems operate at various scales, from real-time decision system that completes thousands of transactions per seconds, to large scale distributed system that optimize Amazon’s fulfilment network. As Amazon continues to build and expand the first party delivery network, this role will be critical to realize this vision. Your team and tech solution will have large impacts to the physical supply chain of Amazon, and play a key role in improving Amazon consumer business’s long-term profitability. If you are interested in diving into a multi-discipline, high impact space this is the team for you. We’re looking for a passionate, results-oriented, and inventive Scientist who can lead from the front towards developing and deploying ML models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative ML models for solving complex business problems in the area of outbound transportation planning systems. The position is located at Bellevue, WA, just next to Seattle with beautiful outdoors and great city life.Watch http://bit.ly/amazon-scot to get the big picture. Key job responsibilitiesAs a Manager of Research Science within FPX Science team, you will lead a team of research and applied scientists towards designing and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. You will have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry, with some of the best product managers, research scientists, statisticians, and software engineers to integrate scientific work into production systems. You will bring deep technical expertise in the area of Machine Learning, and will play an integral part in building Amazon's Fulfillment Optimization systems. Other responsibilities include:* Lead a team of research and applied scientists towards design, development and evaluation of highly innovative ML models for solving complex business problems. * Technically lead and mentor the scientists on the team.* Research and apply the latest ML techniques and best practices from both academia and industry. * Use and analytical techniques to create scalable solutions for business problems. * Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeIn this critical role, you will be a technical leader in operations research or machine learning with significant scope, impact, and visibility. Your solutions have the potential to drive billions of dollars in impact for Amazon's supply chain globally. As a science manager on the team, you will engage in all facets of the process from ideation, business analysis and scientific research to development and deployment of advanced models. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready machine learning solutions. A successful candidate is able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. We look for individuals who know how to deliver results and show a desire to develop themselves, their team, and their career.About the teamFulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Machine Learning and Operations Research, who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create ML and optimization solutions to solve those problems at scale.BASIC QUALIFICATIONS- Ph.D. in Computer Science, Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, or a related field- 5+ years of hands-on experience in building machine learning models in business environment- Proven track in leading and mentoring scientists with demonstrated ability to serve as a technical lead- Strong fundamentals in problem solving, algorithm design and complexity analysis- Excellent communication skills, both written and oral catered appropriately towards both technical and business people.- Demonstrated ability to document the models and analysis and present the results/conclusions in order to influence business critical decisions ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.As the SAP Applications Support Manager, you will manage the SAP RISE system engineering ensuring service and support provided is timely and accurate on a daily basis. You will play a key role in ensuring that SAP applications are supporting and serving Kuiper's mission to build Satellites.Key job responsibilities- Lead the internal SAP support work day-to-day operations, review user experience and feedback & contributing to the overall improvement of our application adoption and functionality. Closely work with contractors and internal team members to address support needs for SAP system. - Provide end-user support to all levels of production operations including Procurement, Sales, Trade compliance, Finance and Quality, and provide advice regarding standard SAP functionality and best practices as it evolves with company needs - Maintain and present metrics and dashboards regarding SLAs to executive level management - Mentor and coach junior developer resources and work closely with internal and external teams, and business users- Interface with developers and configurators for performance and data access requirements- Stay current with new ERP / SAP technology developments and techniques, research new software and tools, proactively recommend improvementsDue to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeYou will help to develop and maintain high quality and reusable solutions that result in a low total cost of ownership. The individual will be responsible to lead ABAP engineers, integration developers and work closely with solution architects, business stakeholders and external partners to develop ERP solutions to meet Kuiper business needsAbout the teamProject Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. Our team focuses on building Enterprise System Applications for manufacturing satellites. Your customers are the Procurement, Accounting, Finance and Supply Chain teams at Kuiper.BASIC QUALIFICATIONS- A minimum of 5 years of leading support experience with SAP ERP RISE system- 3+ years experience with Work/Ticket Management tools such as JIRA/Service Now- 3+ years experience with SDLC approaches such as Waterfall / AGILE and Scrum calls- 3+ years experience working with software development teams working on building code to meet customer requirements (Functional Spec, Business Requirements Documents) ...

Are you ready to help Amazon shape the future of eCommerce shipping? Amazon Shipping is a package delivery service powered by the speed, reliability, and technology of Amazon’s delivery network. We’re building our US Marketing team to fuel growth and seek an experienced Channel Marketing Coordinator to lead our digital execution.The Channel Marketer will play a critical role in driving and maturing our digital marketing across email, web and in-product surfaces. The right candidate has experience working hands on with digital tools and can work closely with our Acquisition and Lifecycle Campaign Managers to activate campaigns. You’ll be the subject matter expert that can consult on and implement plans that help us achieve our growth goals. Our environment is fast-paced and innovative and we are looking for a candidate who is flexible and thrives in ambiguity, with the ability to think strategically while paying careful attention to detail.Key job responsibilitiesKey job responsibilities• Lead digital build for email, in-product and web for campaigns in the US.• Partner closely with Acquisition and Lifecycle Marketing Managers to define and implement channel strategy for campaigns.• Raise the digital bar; level-up campaigns with strategies that can help us exceed annual targets.• Drive alignment on priorities for digital execution with team-level stakeholders.• Develop channel KPIs and metrics and work closely with Business Analytics team to implement into reporting that can drive actionable improvements into campaigns and keep senior leadership informed of momentum.• Act as the liaison with the Marketing Automation and Business Process Automation team to identify key business requirements for capability improvements.• Roll up your sleeves and get work done, with painstaking attention to important details, delivered at lightning speed… even when at times it’s outside the scope of the job.BASIC QUALIFICATIONS- Experience in professional non-internship marketing- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience creating and sending email marketing campaigns in Marketo or a similar Marketing Automation platform. ...

We are currently seeking a Marketing Manager to drive media planning and media buying across both Performance and Brand channels for Amazon Shipping US. This position will require strong skills in all areas of paid marketing (e.g., Media planning, buying and optimization, internal and vendor relationships, RFP, execution and performance reporting).As performance media manager, you will be responsible for setting the vision of your media program, bringing new innovative ideas, and implementing them successfully at every stage of the process from planning, sourcing, QA, and optimization.You will leverage tools, processes, and partnerships required to bring your program and campaigns to life. Using internal and industry data to recommend and execute paid marketing plans across digital performance paid channels (e.g. Google, LinkedIn, programmatic etc.) that delight customers, drive awareness and traffic to our website and conversions.The successful candidate for this role has experience driving cross-functional digital media programs, making data-driven decisions, and influencing others. You are a self-starter and possess strong analytical skills and thrive working among a broad, diverse set of stakeholders. You leverage strong organizational and project management skills and have a track record of delivering quality work.You have a high level of comfort navigating ambiguity, a passion for testing and scaling learnings beyond your immediate team, and the ability to investigate complex challenges and effectively influence cross-functional stakeholders.You work backwards from the customer, apply innovative thinking and dive deep to identify and mitigate gaps. Key job responsibilitiesManage end-to-end paid marketing execution for performance channels - Partner with tech, analytics, finance, and Amazon central channel teams to optimize campaigns and deliver efficiency gains.Monitor and analyze paid media metrics to evaluate campaign performance, optimize strategies, maximize audience engagement, and develop new metrics to demonstrate value and business impact of our media tactics.Report on paid marketing efficacy (scale and efficiency) based on the media mix, conduct financial analysis of business opportunities to meet and exceed goals, and report on progress to goals with senior leadership. Identify opportunities for paid marketing automation and partner with external agencies/vendors and our product teams to estimate impact and define business requirements.You should be comfortable with change, embrace the opportunity to wear many hats, and relish the chance to solve hard problems in short order.Experience in media planning and media buying is a must. BASIC QUALIFICATIONS- 4+ years of professional non-internship marketing experience- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion- Experience managing and measuring marketing performance in various channels ...

Amazon Fulfillment Technologies (AFT) is seeking a mechanical design engineer to conceive, develop, prototype and deploy modular data-collection systems at scale. These systems will be installed in a large variety of environments across the Amazon network, but need to be modular and pluggable to support multiple sensors and configurations. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. Our team collaborates with machine learning scientists, fulfillment associates, labeling teams, field engineering and maintenance personnel and with a variety of customers across Amazon worldwide.Key job responsibilitiesThe ideal individual will be comfortable with designing mechanical systems for mounting cameras, optics, other sensors, wiring, computer systems and supporting infrastructure. Experience with industrial measurement, controls, and mechanical conveyance and safety systems is a plus.You should be comfortable engaging with all types of customers ranging from executives to developers, and warehouse operations staff. You should be comfortable working in a fast-paced environment where delivery time for new products and features is typically measured in months. You are a self-starter with a commitment to team work, who enjoys working with complex hardware and software systems, is customer centric, and thrives on the challenge of helping scientists as well as non-technical customers to achieve their goals.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) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!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.QualityAFT’s Quality team drives automation programs that leverage computer vision, machine learning, and other innovative technologies to prevent, detect, and correct potential inventory issues impacting fulfillment efficiency and customer satisfaction.BASIC QUALIFICATIONS- BS degree in mechanical engineering or equivalent- 3+ years of working in mechanical engineering or equivalent experience- Experience with prototyping and implementation ...

Ring is seeking a Senior Technical Program Manager to join our Hardware development team. We are an established team but creating a new Hardware focused Pre Alpha trial that will complement our already mature Alpha and Beta user experience trials. The Senior Technical Program Manager will work closely with many teams to plan and coordinate the execution of Hardware Pre Alpha Trials. You must be capable of sorting through priorities, diving deep into details, defining processes that improve execution, championing engineering best practices, executing with agility, and succeeding in a complex environment. Key job responsibilities- Managing multiple (cross-functional or technical and non-technical) stakeholder groups each week- Build weekly detailed reports around feedback, survey results, and metrics captured during testing- Ability to take action and ownership of situations with minimal guidance- Monitor backend metrics for programs assigned- Correlate backend metrics with tester feedback to identify trends- Manage multiple project/programs simultaneously- Create test plans for Pre-Alpha- Coordinate with the Insight Team for Beta, and Delta Programs- Create test cases with the Product Managers, Component Teams, Hardware Development and Reliability teams for the users to go through during the testing phase- Attend weekly business reviews to review programs assigned with leadershipBASIC QUALIFICATIONS- 5+ years of technical product or program management experience- 7+ years of working directly with engineering teams experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules- 5+ years of analytical, quantitative, communication, and presentations experience- 3+ years of direct work running hardware user trials ...

Come join a creative team of Operations Technology Engineers that builds the wired and wireless networks that power Amazon fulfillment centers and transportation sites worldwide. These networks are used by hundreds of thousands of associates, relied upon by operators of industry-leading fulfillment and transportation systems, and play a critical role in the delivery of shipments to Amazon retail customers.We are looking for a Network Development Engineers to provide technical thought leadership in the design of our next-generation networks. As we look to the future, our networks will support an ecosystem of robotics, industrial IoT, sensors, drones, and mobile devices. You are comfortable with making data motivated decisions, and iterating on designs that may fail at the outset to ultimately deliver robust systems that elegantly scale. Information security and network reliability are at the core of your thought processes, and you are respected as an influencer.In this role you will also operate the largest fulfillment network in the world, and provide guidance to and mentoring to network support teams to develop their skills and reinforce best practices. Network reliability is critical to Amazon Operations, and your responsibilities will include driving root cause resolution of network events most impact-full to the business.The OpsTech NetEng team has broad scope supporting multiple business units globally, from the smallest delivery stations in emerging markets, to the most advanced automated fulfillment centers in North America, Japan, and Europe. As a result, this group enjoys variety in both short-term innovation and long-term strategic projects. This is a unique opportunity that will enable you to grow your skills as an engineer, have a lasting impact on Amazon’s fulfillment networks for years to come.This role provides 7X24 escalation support on shift rotation basis. Some night and week end support may be required.BASIC QUALIFICATIONS- Bachelor’s degree from an accredited institution- Excellent design, implementation, and skills combined with a proven documentation methodology.- Experience in designing and operating large-scale, production networks- Experience with major routing protocols, specifically BGP and OSPF- Experience with routing and switching hardware from major vendors including Juniper and Cisco- In addition to providing top-tier management and support of Amazons vast infrastructure, Engineers are expected to build or enhance tools, develop best practices, refine operational procedure and constantly think pro-actively and with innovation- Ability to work on a diverse team with a diverse range of co-workers ...

The Amazon Robotics Infrastructure Engineering team is looking for a Network Development Engineer (NDE) to join our team. We build and operate the network and services that enable Amazon Fulfillment Centers, Middle and Last Mile facilities, including Air hubs, and PrimeNow to deliver packages to Amazon retail customers. From two million square foot automated robotics fulfillment centers to small last-mile delivery stations in emerging markets, these networks are the backbone of Amazon Operations. Hundreds of thousands of associates rely upon these networks at thousands of locations, and are critical to the delivery of shipments to Amazon retail customers.Our mission is to design, deploy, and support networks that sets the global standard for performance, availability, security and cost, enabling Fulfillment and Logistic operations to deliver on time, every customer order. We are looking for a Network Development Engineer to create next-generation network products. The team is focused on automating networks from multiple diverse vendors, maximizing reliability while minimizing human touch in deployment and maintenance activities. We collaborate closely with IT support teams to ensure that simplicity in our product designs translate to supportability in the field. Information security rigor is at the core of everything we do. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. It is expected that you will be technically fearless, while at the same time being balanced and pragmatic in your approach. Along the way, we guarantee that you will learn a lot and make a positive impact on millions of people.The right candidate will have demonstrated experience leading large projects and have an expert level technical background in current networking technologies. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done. As a NDE, you will anticipate bottlenecks, influence external vendors and internal team roadmaps, provide escalation management, anticipate and make tradeoffs, and balance the business needs versus technical constraints.Key job responsibilitiesAs a NDE, you will be expected to:· Write code for our most demanding, cross-functional networking projects.· Functionally decompose complex problems into simple, straight-forward solutions.· Understand system inter-dependencies and limitations.· Effectively research and benchmark Amazon technology against other competing systems in the industry.· This is a unique opportunity that will enable you to grow your skills as an engineer, have a lasting impact on Amazon’s fulfillment networks for years to come. 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. 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!About the teamNetwork Provisioning and Automation ‘NPA’ team consists of highly-skilled engineers who build all new Amazon fulfillment centers and transportation sites worldwide. These sites are used by hundreds of thousands of associates, relied upon by operators of industry-leading fulfillment and transportation systems, and play a critical role in the delivery of shipments to Amazon retail customers. BASIC QUALIFICATIONS- Bachelor’s degree in Engineering or Technology- 3+ years experience in a network focused hands-on technical role working with IP routing protocols (interior and exterior), technologies and platforms in large scale data center, LAN and/or WAN network environments.- 3+ years experience developing engineering, deployment, or operations mechanisms to support IP network and/or networking systems.- 3+ years experience in a technical on-call capacity, responding to customer impacting events, mitigating and root cause analysis of those events.- 1+ years of experience in automation via Bash/shell scripting and Perl/Python programming, Infrastructure as Code, Ansible ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivityThe Enterprise Technology Team is seeking a Network Development Manager with technical breadth to own the design, planning, delivery, and operation of Kuiper's internal Network. We are currently expanding our Networking team and are looking for a proven technology manager with experience in people management, robust technical understanding and the drive and vision to take Kuiper Network to the next level. The successful candidate for this role will create sustainable processes and standards; and drive automation opportunities to reduce delivery cycle times and to improve quality without impacting network availability. In this role you’ll interface with cross-functional teams including operators, information security, third-party vendors, and multiple IT infrastructure teams. You’ll join a diverse team of systems engineers, software developers, network engineers, and warehouse management systems experts.Key job responsibilities• Manage and develop teams of technicians and engineers, providing both technical and leadership expertise and ensuring highest levels of performance• Deliver Network capacity and availability to existing Kuiper locations• Helping build and bring online new Kuiper locations and functions• Identify and build automation opportunities• Constantly improve all our processes and procedures• Assist & manage relationships with external vendors & contractors• Create and maintain metrics on all aspects of our Network and utilize those metrics to drive positive changes, by instilling the operational practices needed to sustain them. • Assisting in implementing service methodologies including incident management, problem management, change management, capacity management, etc.• On-call rotation to support the services owned by the Networking team• Build and mentor your team, help them grow and develop their technical/functional skills.Export Control Requirements: Due to the need to access certain federal controlled information, you must be a U.S. citizen for consideration.About the teamKuiper Enterprise Technology provides the internal systems, networks, devices, and productivity services that power Project Kuiper. We strive to create an inclusive environment where people dedicated to Kuiper's mission can deliver their best.Note : this position will require onsite work in Bellevue, Redmond, and Everett WA. This is not a remote position.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 2+ years experience in designing and operating large-scale, production networks- 3+ years of experience with routing and switching protocols and hardware; experience with wired and wireless deployments and equipment- 7+ years of engineering experience- 8+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teams- Demonstrated design, implementation, and skills combined with a proven documentation methodology.- Multiple years experience in a networking team with global scale ...

Are you a GenAI builder that wants to think fast, dive deep, and build? We are seeking a GenAI specialist Principal SA to join our Artificial General Intelligence (AGI) Solutions team to work with Foundation Model (FM) teams alongside internal and external Generative AI customers to build the applications of the future.In this role, you will be the voice of the builder, with ownership for working alongside Amazon businesses to develop GenAI solutions that deliver their immediate business value and realize the future of customer experience. You will help your customers understand best practices and develop new best-practice patterns as you encounter new problem spaces. With your day to day focus on the builder, you will be expected to provide insights to product, science, and engineering on how customers build with our FM's and how we can improve. You will be empowered to invent on behalf of our customers and advocate for their needs throughout design, build, and launch of next gen FM's. This position has a high level of visibility, so you will need to be able to communicate clearly and compellingly at all levels of the company. Additionally, you will be responsible for measuring business impact by diving deep into metrics and customer inputs. You should have a positive attitude and strong work ethic; you will work fast and smart, and adapt and iterate quickly.Key job responsibilities- Ensure success in designing, building and migrating applications, software, and services with Amazon FM's, AWS Bedrock, and other AWS GenAI capabilities.- Interact with customers directly to understand their business problems and help them implement durable GenAI systems.- Educate customers on the value proposition of AGI FM ecosystem and showcase the art of possible.- Drive deep architectural discussions and design exercises to create solutions built with Amazon FM's- Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.- Build deep relationships with customer engineering, product, and science leaders. - Capture and share GenAI best-practice knowledge across internal Amazon builders and the AWS solutions architect community.About the teamAmazon AGI Solutions Team serves as a bridge between Foundation Model science, engineering, and product teams and the internal Amazon teams using these models to deliver business value to Amazon's customers. We help customers build GenerativeAI applications and apply the learning from these engagemetns to help make the Foundation Models better every day.BASIC QUALIFICATIONS- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- Bachelor's degree in computer science, engineering, mathematics or equivalent- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications ...

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a cutting-edge product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Scientist to join our Applied AI team to work on LLM-based solutions. We are seeking an experienced Scientist who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in building highly scalable systems and system design, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Key job responsibilitiesYou will be responsible for developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. A day in the lifeOn our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. BASIC QUALIFICATIONS 7+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with large language models and their architectures, and deep learning ...

The Artificial General Intelligence Data Service (AGI-DS) team is seeking a dedicated, skilled, and innovative Principal Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs a Principal Scientist within the AGI-DS organization, you will be a trusted part of the technical leadership. You will bring a deep understanding of business and industry context to drive science and technology decisions that shape the development of algorithms and models across the organization. By setting the standard for scientific excellence, you will make critical decisions that align with the strategic goals of the company.A key aspect of your role will be to collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. You will have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology.You will solicit diverse perspectives from across the organization, challenge assumptions, and remain open to changing your views as you learn more. Your technical artifacts and solutions will be exemplary, serving as references and models of excellence for the broader team. You will tackle intrinsically complex problems, acquiring new expertise as needed, and decomposing challenges into straightforward, elegant solutions.You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).About the teamThe Artificial General Intelligence Data Service (AGI-DS) team strives to be best-in-class at acquiring and creating all kinds of data representing human knowledge and preferences, with the highest standards of privacy, security, quality and utility, to power the best AI models and applications on Earth. BASIC QUALIFICATIONS- PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science - 10+ years of combined academic and research experience. - Strong publication record in top-tier journals and conferences. - Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. - Mentors and trains the scientist community on complex technical issues. - Experience developing software in traditional programming languages (C++, Java, etc..). - Excellent written and spoken communication skills ...

The Alexa Conversational Assistants Services (CAS) org is looking for a Principal Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact. You will interact with a cross-functional team of science, product, and engineering leaders.As a Principal Scientist within Alexa, you are a trusted part of the technical leadership. 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. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.You are a hands-on scientific leader. 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.You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.We’re looking for a passionate, talented, and inventive Principal Scientist to help build industry-leading conversational technologies that customers love. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Principal Artificial Intelligence Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding and dialog systems. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will mentor Senior scientists, and work in a fast paced team environment. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.Key job responsibilitiesYou will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).About the teamAlexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.BASIC QUALIFICATIONSPhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills ...

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team builds services and tools through Machine Learning techniques to implement our policies to detect and mitigate sensitive content in across Alexa. We are looking for an experienced Principal Applied Science to build industry-leading technologies in attribute extraction, annotation, and sensitive content detection and interpretation across all languages, modal, and countries. A Principal Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Key job responsibilitiesA Principal Applied Scientist should have good understanding of NLP models (e.g. LSTM, LLMs, other transformer based models) or CV models (e.g. CNN, AlexNet, ResNet, GANs, ViT) where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.A day in the lifeYou will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation for worldwide coverage. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, model development, and solution implementation. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.About the teamThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.BASIC QUALIFICATIONS· Master’s degree in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent)· 6+ years of experience in building machine learning models for business application especially applying NLP or Computer Vision to solve complex problems· Experience programming in Java, C++, Python or related language· Algorithm and model development experience for large-scale applications· Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives ...

The Artificial General Intelligence (AGI) team is looking for a highly-skilled Senior Applied Scientist, to lead the development and implementation of cutting-edge algorithms and push the boundaries of efficient inference for Generative Artificial Intelligence (GenAI) models. As a Senior Applied Scientist, you will play a critical role in driving the development of GenAI technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.Key job responsibilities- Design and execute experiments to evaluate the performance of different decoding algorithms and models, and iterate quickly to improve results- Develop deep learning models for compression, system optimization, and inference - Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the teamBASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills ...

Job SummaryAWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for the Cloud Optimization service portfolio (AWS Health, Well-Architected, Trusted Advisor). We are looking for a Principal Scientist to join us and lead/spearhead the AI revolution through innovative solutions inspired by customer needs. A Principal Scientist in Kumo is a hands-on contributor who 1/ Understands the latest trends and developments in AI/GenAI space and able to apply this innovation to solve customer challenges. 2/ Effectively partners across AWS AI/GenAI services to influence and drive investment prioritizations. 3/ Mentors to elevate the organization’s excellence in AI/GenAI. 4/ Represents the organization strategically in front of customers, partners, and other AWS leaders. Evangelize our AI/GenAI innovations, results, and impact. You will partner with go-to-market, support, and service leaders to identify, define, and shape the investment direction of our products with a vision, strategy, and develops innovative solutions for hard, previously unsolved problems. You will work closely with engineering teams to define the architectures and solutions that transform algorithms to services operating at AWS scale. This role will give you the opportunity to drive the design and delivery of large-scale cross-AWS projects while moving the needle disproportionately for the Support business. In this role, you’ll define and drive architectural innovation of existing and new services to help AWS customers optimally architect, develop, and operate for the cloud. You’ll think beyond the immediate team and project needs and focus on how to reduce operational complexity. You’ll provide technical vision in achieving business goals. Your responsibilities will include: * Influence at all levels – from business strategy to implementation. You will own direct technical contributions for some areas and in others you will influence and direct at the architectural level.* Lead by example, demonstrating technical excellence that other engineers aspire to follow. Taking time to mentor and develop members of each team.* Define the next generation of Cloud Optimization architecture, working closely with business owners, service teams, Principal Engineers, and Solution Architects to leverage proven design patterns and existing services to reduce existing complexity, duplication, and cost.* Solve ambiguous problems and deliver high impact customer driven products, such as real-time visibility into customers’ experiences and impacts during AWS service events, derive customer insights, generate summary of customers’ posture for security, cost, resilience, etc.* Drive operational excellence and best practices across the teams.* Work with minimal guidance, engaging engineering teams across the organization to deliver results, while responding efficiently to multiple program priorities. In addition, you’ll have the opportunity to analyze the latest technologies and development trends, establishing and implementing standard practices for the organization’s engineering teams. The ideal candidate will be able to exercise strong judgment in balancing technical leadership and business goals.About the teamAWS Kumo is a global product and technical organization dedicated to helping AWS customers succeed in their cloud journey. Kumo owns critical cloud services used by all AWS customers to build, optimize, and operate at scale. Our broad portfolio of services includes AWS Health (https://aws.amazon.com/premiumsupport/technology/aws-health-dashboard/), Trusted Advisor (https://aws.amazon.com/premiumsupport/technology/trusted-advisor/), Well-Architected (https://aws.amazon.com/architecture/well-architected/), re:Post (https://repost.aws/), Recommendations & Insights, Self-service Automation, Support Center (https://console.aws.amazon.com/support/home/?nc2=h_ql_cu), and more, as well as all the internal tooling used by our global support organization to provide exceptional customer support.Kumo is a people-first organization doing world-class innovation at scale. We are globally distributed, with larger teams across the United States, Canada, South Africa, Costa Rica, Australia, and other geographies. We are always looking for exceptional technologists and leaders who would like to join us on this journey. By joining Kumo, you will work with all AWS customers, from big and diverse enterprises to small cutting-edge startups, helping them achieve success in their cloud journeys. We are delivering product and technological innovation that transform the way our customers run their businesses. Our industry-leading product portfolio cuts across a wide range of technologies — from Distributed Systems to Machine Learning — at Amazon scale. We are a fast-growing, agile and collaborative team of individuals with diverse backgrounds from all parts of the globe. We combine the culture of a startup, the innovation and creativity of an R&D lab, the work-life balance of a mature organization, and AWS-scale technical challenges. Join us!BASIC QUALIFICATIONS* Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics or related field.* 7+ years of experience in AI and Machine Learning in industry.* Proven experience with a track record of thought leadership and contributions that have advanced the a business, customer experience. * Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment. * Excellent written and verbal communication skills. ...

The Alexa Conversational Assistants Services (CAS) org is looking for a Principal Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact. You will interact with a cross-functional team of science, product, and engineering leaders.As a Principal Scientist within Alexa, you are a trusted part of the technical leadership. 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. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.You are a hands-on scientific leader. 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.You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.We’re looking for a passionate, talented, and inventive Principal Scientist to help build industry-leading conversational technologies that customers love. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Principal Artificial Intelligence Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding and dialog systems. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will mentor Senior scientists, and work in a fast paced team environment. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.Key job responsibilitiesYou will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).About the teamAlexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.BASIC QUALIFICATIONSPhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills ...

Do you want to be part of a team that's revolutionizing Amazon's fulfillment and packaging technology? Can you commit to optimizing systems that process tens-of-millions of customer packages daily with the lowest cost to serve and a defect-free customer experience? Do you have a passion for solving complex science challenges and building a sustainable e-commerce experience?Your statistical and machine learning skills can help make that a reality on the Mechatronics and Sustainable Packaging team. We are seeking a Principal Applied Scientist who will join a team of experts in the field of Statistics, Operational Research, Machine Learning (ML), Computer Vision and Generative AI to work together to break new ground in the world of automated packaging solutions. You'll work in a collaborative environment where you can pursue ambitious research with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the packaging experience of Amazon customers in the fulfillment technology space. If you are interested in robotics, computer vision, machine learning, statistics, big data, and building scalable solutions, this role is for you.The successful candidate will have a PhD in Computer Science, Statistics, or Engineering with a strong focus on data analysis, machine learning, generative AI or a related field, and 10+ years of practical experience solving complex problems in computer vision, anomaly detection, robotics. or multi-modal classification systems. Manufacturing, packaging and/or logistic experience is a plus, but not a requirementKey job responsibilities- Advance exploratory research projects in machine learning, statistics and related fields to create defect-free packaging customer experiences- Analyze large amounts of Amazon shipments to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities- Validate new or improved models via statistically relevant experiments across millions of customers- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scaleBASIC QUALIFICATIONS-Ph.D. degree in Computer Science, Statistics, Machine Learning, or a related field with publications in refereed academic conferences and journals-10+ years of experience of solving difficult machine learning, optimization, or statistical business problems-Experience programming in Python, Java, C++ or a related language-Proven track in leading, mentoring, and growing teams of scientists -Demonstrated ability to serve as a technical lead -Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions. -Strong fundamentals in problem solving, algorithm design and complexity analysis ...