Learning Experience Designer, SPS Central LXD (Level 5)

Selling Partner Support (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of Selling Partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.The SPS Central LXD team leads programs and mechanisms that scale and drive learning solution quality and standards across the global team of 60 LXDs. SPS Central LXD also builds high-quality learning solutions for unique internal needs driving analysis, design, development, implementation and evaluation.Key job responsibilitiesThis hybrid role will develop and manage the learning solution quality program for the global LXD team and consult and build exemplary learning solutions where deep instructional design expertise is required. You will prepare 60 LXDs and 12 LXD Managers with the tools, insights and skills to lift the quality of learning solutions across the global LXD team. You will recommend and build learning solutions that meet organizational needs at scale. Using data and evidence-based practice you will evaluate the effectiveness of both learning solutions and the quality program.A day in the lifeYou will design and deploy mechanisms to drive learning solution quality across the global team. Through data and written communications you will work with stakeholders and leaders to develop LXD quality. You should be advanced using eLearning development tools such as Articulate Rise/Storyline, Camtasia, Adobe Photoshop/Illustrator, and Captivate and explore emerging tech trends for content creation, which you will apply in the quality program and in designing and developing interactive training materials in multiple modalities. You will collaborate with LXD teams to strategize and implement program goals based on broader organizational goals.BASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization- Experience using data and metrics to determine and drive improvements- Experience working cross functionally with tech and non-tech teams- Bachelor degree or equivalent experience in instructional design, education technology, or similar field ...

Life Insurance Benefits Spec, Global Financial Health

The Amazon Global Benefits team is seeking a Benefits Manager (Benefits Specialist III) to own and build the next generation life and voluntary insurance benefit experience. This role will raise the bar on the end-to-end experience Amazonians have and will be accountable for managing program performance, building, inventing, and simplifying the experience for life and voluntary insurance benefits.Amazon offers life insurance options to eligible employees starting on day one, that are customer obsessed and innovative. The ideal candidate must be able to work collaboratively with internal and external partners. You will work in a dynamic, ambiguous and fast-paced environment with a team focused on insurance benefit strategy, design, and delivery.This role is based in Seattle, WA (HQ1). Periodic domestic business travel is required.Key job responsibilities- Translate voice of customer data into strategic program management recommendations to enhance member experience- Conduct on-going deep business analysis of program spend and partner with the business in identifying potential savings and efficiencies- Apply deep industry knowledge to write white paper proposals and recommendations to develop/enhance program/process design. - Candidate will influence and communicate across multiple internal and external teams- Work collaboratively with vendor partners, and internal cross functional teams to build and implement medical benefit design and process improvements at scale- Develop efficient workflows for internal and external technical teams to build new medical solutions and cross-vendor integrations- Manage multiple concurrent projects- Influence all aspects of the vendor engagement based on depth of experience including industry and compliance standards. Drive end-to-end solutions with internal business partners and vendor(s).- Monitor, document, analyze and resolve member escalations- Be the life insurance plan SME and own the coordination of procurement, finance, communications, contracting and compliance- Manage appeals/exception/escalation process and documents all decisions- Develop proposals and summary documents for senior leadersAbout the teamThe Global Financial Health team’s mission is to support overall employee financial health. We maximize partnerships when feasible and build new programs when necessary. We constantly bring forward big ideas and emerging topics from the personal finance industry. We act as thought leaders and subject matter experts in the space of personal finance, the employee financial benefits industry, and financial benefit public policy globally. Per our Leadership Principal, “Success and Scale bring Broad Scope and Responsibility,” we provide information, tools, and solutions to help employees take steps toward increased financial health.BASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience using data and metrics to determine and drive improvements- Experience owning program strategy, end to end delivery, and communicating results to senior leadership- 5+ years of vendor management experience- Bachelor's degree in finance, accounting or related field ...

Localization Program Manager, Seller University

Help global businesses large and small discover and realize the benefits of selling on Amazon through best-in-class educational content. At Seller University, we educate small, medium, and large businesses from around the world as they begin their journey to sell on Amazon. If you are a talented and proven localization expert with experience managing global programs and are excited about inventing mechanisms for scale, then the localization program manager role on Seller University's Learning and Development team is for you. As Localization Program Manager for Seller University, you will be responsible for managing complex localization processes, and working with global stakeholders including program managers, content strategy leads, learning experience designers, and language service providers. The ideal candidate will have in-depth knowledge in localizing multimedia rich content such as video, PDF and elearning. They will also be well versed in program management, and have the skills to drive strategic localization initiatives aiming for operational excellence, quality assurance, and establish best practice against our team’s goals.Key job responsibilities- Managing international localization projects end-to-end, working closely with internal business partners, external vendors and other stakeholders- Leading and coordinating efforts to create and improve localization mechanisms and workflows that support team, stakeholders, and vendors- Maintaining and improving the language quality program and operations for the team- Working with content creators, strategy owners, and product owners to define and streamline processes upstream and drive best practices for the localization of content- Clearly communicate roadmaps, progress, risks and change management to leadership and internal cross-functional teams- Writing , editing, reviewing and maintaining localization process documentationAbout the teamAmazon Seller University's mission is to educate global sellers with high-quality, multi-modality content covering tools, features, and programs, to empower and equip them to run a successful business. We are a team of product, learning design, program, analytics, and tech professionals who work collaboratively to innovate for and educate sellers.BASIC QUALIFICATIONS- 3+ years of program or project management experience- 3+ years of defining and implementing process improvement initiatives using data and metrics experience- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL- Experience using data and metrics to determine and drive improvements- Experience working cross functionally with tech and non-tech teams ...

Long-Term Topology & Planning, RSR

The Manager of Networking Planning Technology team will engage work on the rural and super rural expansion strategy, developing tools, analyses, and iterative strategic planning models to help enable the rural distribution, real estate, and coverage plan for Amazon in far-reaching regions. Key deliverables will be engineered databases for long term planning information, developing dashboard and visualization tools to present long range planning scenarios to leaders, automating financial forecasts for ROI / IRR assessments on different investment scenarios, and expediting topology and network strategy questions through innovative modelling techniques. The ideal candidate has experience in network modelling, leading teams in data engineering, analytics, and producing strategic documents to high visibility programs with upper-level leadership. Key job responsibilitiesKey responsibilities of this role include architecting data systems to cleanly present and automate strategic reports, the development of flash reports, writing and contributing to high value CapEx and launch strategy documents, coverage and network heatmaps, and financial analytics. The manager will develop tools and processes to automate critical analyses in long range supply chain plans, produce iterative financial models, and write-ups to leadership on how to interpret the recommendations. This will include, where we ideally want to launch, how many buildings are needed to solve our long term goals, and when is the ideal timing for engaging in new regions. This leader will talk with existing technical leaders in the space, develop data management procedures handle large scale requests, and work cross functionally with several operative teams to align on key inputs. They will also have great people management skills and exemplify strong leadership in ambiguious spaces. A day in the lifeA day in the life of the Network Planning Technology manager will be handling requests on what regions provide ideal paybacks, analyzing how existing regions should be changed to compliment our future plans, and assessing new strategies for entering regions not yet covered by Amazon delivery. They will liaise with key stakeholders, contribute to model changes in line with our long range plan, and establish tenets / standard work for improving our suite of tools and reports for leadership planning cycles. BASIC QUALIFICATIONS- 5+ years of cross functional project delivery experience- 5+ years of working cross functionally with tech and non-tech teams experience- 5+ years of program or project management experience- 5+ years of team management experience- 2+ years of supply chain experience- Experience defining program requirements and using data and metrics to determine improvements ...

Loss Prevention Specialist

The Loss Prevention Specialist (LPS) is a key hourly associate position within Amazon Operations. To keep our 24/7 operations network secure and assure operational continuity, we are looking for hands-on and detail-oriented professionals who want to join our team. The LPS leads the effort to efficiently and effectively protect people, product and data (lives, physical property, equipment, inventory, data, & intellectual property) in a designated building. The LPS reports to the Security and Loss Prevention Cluster Manager responsible for their geographical area, and aids them in supporting the Operational team, and cross functional teams throughout the organization. This position is site based however may need to support multiple business units with local travel up to 25%.Key job responsibilities* Conduct confidential investigations and prepare prompt written reports of theft, fraud, and workplace violence/critical incidents* Contribute to the identification of vulnerabilities (e.g., loss, associate experience, process improvement, data protection, physical security infrastructure) and define appropriate mitigating actions while ensuring compliance with legal and ethical standards* Serve as department liaison and security/crisis management subject matter expert for site leadership keeping them informed on key issues, strategies, and the department’s performance* Develop strategies for alarm reduction and conduct system diagnostic for problematic devices by engaging and resolving issues with internal and external partners* Work in an industrial environment that requires walking up to 5 miles a day and ability to lift up to 20 lbs, with or without reasonable accommodation. Includes flexibility in working weekends and/or overnight shifts as necessary to needs of the business* Travel up to 25% including one week in Phoenix, AZ for Global Security Operations OnboardingA day in the lifeAs a Loss Prevention Specialist, you will join a team of Security and Loss Prevention professionals providing security as a service to business customers across multiple business units within a dedicated geographical area. You perform regular physical security audits and investigate policy violations, security-related incidents, and loss events. During your investigations, you collect information by monitoring systems and tools, analyzing data reports, and conducting interviews. Your findings help to identify vulnerabilities in our processes, for which you contribute to the development of mitigating measures. You play a key role in maintaining the physical integrity of our sites by auditing and monitoring the health status of our systems with subject matter experts and external suppliers to maintain their functionality. You interact on a daily basis with our external security service providers to ensure delivery of high-quality security services and a smooth customer experience. You also act as point of contact for multiple internal and external departments (e.g., legal, HR, security service providers, local law enforcement) and subject matter expert in Security and Loss Prevention-related matters. Finally, you deliver loss prevention-related education and awareness programs to other teams and liaise with various stakeholders on policy and procedure across all management levels.About the teamWorldwide Operations Security (WWOS) is the global organization that supports field Security and Loss Prevention and is designed to support Amazon’s Worldwide Operations, as well as affiliate and retail businesses. WWOS creates and maintains a work environment that is prepared and secure through global security centers of excellence staffed by subject matter experts in people and asset protection. We accomplish this by creating policy and implementing guidelines; training leadership and staff; using technology to eliminate subjectivity, complexity, and variation; identifying, preparing for, and mitigating risk; and auditing our practices to ensure compliance.BASIC QUALIFICATIONS* High school or equivalent diploma * 1+ years of experience in the following: security service, asset protection, audit, investigations, law enforcement, military, risk management, data analytics, inventory control, quality assurance or bachelor’s degree in a related field or 2+ years Amazon Experience and/or LPQ Career Choice Graduate* 1+ years of application experience with MS Office Professional Suite, including Excel to manipulate and analyze data* Workplace incident mitigation or de-escalation and Business Continuity planning experience ...

Machine Learning Engineer 2, Amazon

Do you want to build new software tools and systems that are powered by generative AI? Do you want to work alongside a team of passionate, talented engineers and scientists on the next generation of intelligent customer-facing shopping experiences leveraging state-of-the-art deep learning and generative models? Our team is building internet-scale data solutions to power critical customer-facing shopping conversation experiences on the Amazon app and web. We are looking for a passionate, talented, and inventive SDE with a strong machine learning background, to lead the development of industry-leading technology with Large Language Models and Natural Language Processing.The Shopping Convo Foundations org is building core foundational capabilities to train and optimize large language models. We create tools and infrastructure to measure, evaluate, and enhance high-quality language model experiences like Rufus. Our efforts aim to improve the performance and capabilities of these advanced language models. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.As a software developer in this role, you will* Develop and maintain key services needed for evaluating and deploying large language models required for building conversational agents.* Work with peers to investigate design approaches, prototype new technology and evaluate technical feasibility.* Work closely with Applied scientists to process massive data, scale machine learning models while defining and optimizing criteria critical to the success of the customer experience* Lead and influence the overall tech strategy by helping define data, enrichment, model optimizations and evaluation. * Lead the system architecture, and spearhead the best practices that enable a quality infrastructure. * Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.* Tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. * Learn cutting-edge technologies and algorithms in the field of Generative AI advancing our journey to build the best conversational shopping agent. 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- Experience in machine learning, data mining, information retrieval, statistics or natural language processing ...

Machine Learning Engineer II, Intl. Seller Growth

Come and be part of the International Seller Services (ISS) Central Analytics Data Engineering (DE) team and work on solving cutting edge GenAI solutions!We are a team of DEs who support Applied Scientists, Data Scientist, and Economists who experiment, research, and turn machine/deep learning and AI research into great products for our customers.ISS is seeking a smart, highly-motivated, and experienced ML Engineer to join our team. In this role, you'll help us create the right Data and ML infrastructure.As a ML Data Engineer, you will provide technical expertise, lead ML engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You carry projects from proof-of-concept to deployment and serving with a high standard for model maintenance and operations. You orchestrate complex and/or distributed modeling systems to unlock new ML capabilities for your customers.You are passionate about working with huge unstructured and structured datasets and have experience with the organization and curation of data for analytics and model training. You have a strategic and long term view on architecting advanced data eco systems.You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.You will have the opportunity to work with scalable model development tools using SageMaker, AWS, and Docker. You will bring in techniques for automating model training, evaluation, deployment and monitoring using machine learning pipelines. You will work closely with researchers in building algorithms ranging from classical machine learning to state-of-the-art deep neural network models on diverse types of signals.Key job responsibilitiesIn this role, you have the opportunity to:- Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.- Develop and deploy models and pipelines that scale- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Collaborate with Applied Scientists, Data Scientists, Data engineers to help adopt best practices in ML system creation, Experimentation Setup and documentation- Identify opportunities in existing data/ML solutions for improvementsExample projects:- Setting up a Dev environment for experimenting multiple embedding models for RAG setup-Implement a robust experimentation platform to test, iterate, and optimize the Conversation Assistants' performance across key RAG metrics- Developing reusable cloud infrastructure and deployment patterns to accelerate productionalization- Integrating disparate ML solutions into cohesive customer experiencesBASIC QUALIFICATIONSExperience with machine learning techniques such as pre-processing data, training and evaluation of classification and regression models, and statistical evaluation of experimental data.2+ years of non-internship professional ML-software development experienceProgramming experience with at least one modern language such as Python,Java, C++, or C# including object-oriented design2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.Experience in building production quality and large scale deployment of applications related to NLP and ML ...

Machine Learning Engineer II, Just Walk Out (JWO)

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.Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.We are looking for a talented Machine Learning Engineer to join our team. In this role, you will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists and other engineers to help investigate, evaluate, implement, and connect sophisticated algorithms to our cloud based engines. You will design, build, evaluate prototypes and production-ready components. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.You will have the opportunity to work with scalable model development tools using SageMaker, AWS, Nvidia GPUs and Docker. You will learn techniques for automating model training, evaluation, deployment and monitoring using machine learning pipelines. You will work closely with researchers in building algorithms ranging from classical machine learning to foundational multi-modal models on diverse types of signals.You will tackle challenging situations every day and you’ll have the opportunity to work with multiple technical teams at Amazon. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on many customers.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.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. About the teamABOUT AWS:Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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 ...

Machine Learning Engineer III, FAR (Frontier AI & Robotics)

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to make breakthrough foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming cutting-edge research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.Key job responsibilities- Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools- Collaborate closely with scientists to influence model architectures for optimal hardware utilization- Design and implement efficient compilation pipelines for complex transformer architectures- Develop comprehensive benchmarking frameworks to measure and optimize model performance- Build robust monitoring solutions to ensure reliable model serving at scale- Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers- Maintain high engineering standards through proper testing, documentation, and code review practicesA day in the life- Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques- Partner with scientists to analyze model architectures and propose efficiency improvements- Implement and benchmark various optimization strategies for large-scale models- Debug performance bottlenecks using NVIDIA profiling tools- Participate in technical discussions about new model architectures with the science team- Design and maintain performance monitoring systems for production deployment- Prototype new acceleration approaches using emerging compilation frameworksAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAt Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through groundbreaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team- Strong expertise in Python, C++ and CUDA programming- Experience with TensorRT or similar ML optimization frameworks- Track record of optimizing ML models for production ...

Machine Learning Engineer, Amazon

The CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented MLE to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging cutting-edge technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods.Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.Key job responsibilities- Quickly acquire knowledge of cutting-edge technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems.- Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.- Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.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 ...

Machine Learning Engineer, Amazon General Intelligence (AGI)

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLEKey job responsibilities* Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.* Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.* Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.* Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.A day in the lifeAs a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.About the teamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.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 ...

Machine Learning Engineer, CreativeX

The CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented MLE to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging cutting-edge technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods.Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.Key job responsibilities- Quickly acquire knowledge of cutting-edge technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems.- Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.- Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.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 ...

Machine Learning Engineer, Sponsored Products and Brands

Want to build business and ML systems that impact hundreds of millions of customers Worldwide?We are looking for outstanding Machine Learning Engineers to join the Kaizen team within Sponsored Products and Brands (SPB). Kaizen team is responsible for growing Amazon Ads business in growing and emerging regions (Asia Pacific, LATAM and EMEA) by defining new regional experiences for shoppers and advertisers based on local context. We own end to end business for SPB and looking for like-minded people who can run with same ownership. As a member of our Agile team you will have the opportunity to drive a key business area in Amazon Ads.Your team will own the business, technology, and operations, giving you the responsibility and authority to ensure success. You will be involved in every aspect of the process - from idea generation, business analysis and technical design through to software development across a variety of technologies. Your systems will meet remarkably high standards of performance and reliability, and will operate at massive scale, 24x7.The position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects for our growing businesses. Key job responsibilities• Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.• Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.• Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.• Run A/B experiments based on independent data analysis 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- Bachelors degree in Computer Science or equivalent ...

Maintenance Technician, Prime Air

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We recently announced we are preparing for Prime Air deliveries to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazons-drone-delivery-is-coming-to-texas).If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Come work on the Amazon Prime Air Team!Prime Air is seeking a skilled Maintenance Technician to assist in maintenance and routine service of our remote controlled devices. The qualified candidate will require mechanical skills, electrical integration skills and assembly experience. You will be part of a larger development effort working independently in a highly collaborative environment.Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. BASIC QUALIFICATIONS - Mechanical and electrical integration or assembly experience - Basic engineering knowledge: mechanical, electrical, software - Experience in installation of sub-assemblies and assemblies while working to drawings or CAD files - Able to perform precision work with hand tools - 2 years experience troubleshooting hardware and/or software issues in industry or military - Employees must, with or without reasonable accommodation, be able to lift up to 50 pounds on some occasions, stand/walk for up to 8-10 hours (with breaks), and be able to frequently push, pull, squat, bend, and reach - Valid Driver’s License and able to satisfy Amazon driver eligibility criteria - Willingness to travel up to 75% of the year ...

Manager - Content Strategy

Are you someone who cares about customer experience, and wants to be involved in delivering innovative support experiences for customers of Amazon’s devices and digital products? Then we're looking for you!We are seeking an experienced Manager, Content Strategy to join the Device, Digital and Alexa Support (D2AS) Team. You will be seen as a thought leader and innovator within the organization; defining the global content strategy for a knowledge repository accessed by millions of external Amazon customers and thousands of internal technical support agents. You will manage a team of Content Strategist and Developers, that scope, author, localize, publish and audit content spanning multiple mediums for relevance and accuracy.To excel in this position, you will be comfortable in a fast-paced, high-energy environment. You must be used to dealing with tight deadlines, engaging with peers across a matrix-based organization, and have a proactive approach to problem solving. You will have experience digging into data to discover pain points, and a track record defining holistic scalable solutions, to mitigate and address them. Most importantly, you’ll have deep expertise developing and maintaining help and support content, including writing, production, and strategy.Key job responsibilities- Lead and mentor a team of Content Strategists/Developers, encouraging critical thinking and innovation.- Possess strong writing and storytelling abilities to effectively communicate with diverse audiences.- Demonstrate a deep understanding of Amazon's device and digital product portfolio, translating technical features into compelling user stories.- Multitask, prioritize, and meet tight deadlines in a fast-paced environment.- Excellent communication skills, including writing, presentation, and interpersonal abilities to engage and influence internal and external stakeholders.- Creative thinker with a passion for innovation, developing unique content strategies that drive measurable results.- Work autonomously to identify, investigate, and solve problems as they arise.- Handle ambiguity, clarify scope, and make data-driven decisions.- Ensure high-quality outputs and deliverables from internal and external teams.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.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!Benefits summary: 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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamWe at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products.Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of working cross functionally with tech and non-tech teams experience- 3+ years of team management experience- Experience defining program requirements and using data and metrics to determine improvements- Experience with HTML, XML, DITA, or Content Management Systems (CMS) ...

Manager III, TPM, WW Prime - Member Growth - Tech

Amazon Prime TPM is a cross-functional team of Technical Program Managers that are responsible to run large technology initiatives for Prime Acquisition, Payments, CXE, International Expansion and supporting variations of Prime that provide the best of experience to our customers. If you are interested in driving highly visible and impactful initiatives for Amazon, this is the best team for you. As a senior TPM leader, you are a pragmatic visionary that can translate business needs into technology solutions that scale to meet the business needs. You are responsible for driving high quality and enabling innovation. You will work with a team of top talents, manage evolving and complex demands, including multiple projects with dependencies on other internal organizations. You will draw on customer feedback, usage and operational data, and your experience leading technology businesses to set and deliver on challenging goals to maintain effective software at scale without hindering our ability to reliably meet our customer promise.Key job responsibilitiesThe ideal candidate is a creative, demonstrated leader/manager with superior people management and analytical abilities. This opportunity requires excellent technical, problem-solving, and communication skills. This candidate should possess verifiable leadership qualities including being proactive, thoughtful, thorough, decisive, and flexible, conducting themselves professionally and with integrity at all times. TPM Managers will work with the TPMs by guiding them to go deep on learning their systems’ and use their knowledge to influence and drive cross-team projects and roadmaps. At the core of the position is leadership and delivery. You will have a strong working knowledge of product, architecture, technology and thrive in a fast paced, dynamic environment.Qualified candidates have experience in managing high performing individuals, building roadmaps, defining processes, defining projects, collecting requirements, writing detailed functional and test specifications, coordinating efforts to scope, schedule, and deploy new features sets, collaborating across diverse groups, as well as analyzing cost/benefit of feature selection and communicating results throughout the organization. BASIC QUALIFICATIONS 7+ years of working directly with engineering teams experience 5+ years of technical product or program management experience 3+ years of software development experience 5+ years of technical program management working directly with software engineering teams experience Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

Manager, Amazon Currency Converter(ACC) Marketing , Amazon Payments

Amazon Currency Converter for Sellers (ACCS) is part of Amazon Payment Products, a fast-growing business with new product launches and market-leading features which improve customers' payment experience on Amazon. ACCS provides global Amazon sellers a secure and convenient way to receive their revenue from selling on Amazon worldwide. We are eagerly pursuing innovations on payment experience to help Amazon sellers streamline and grow their global businesses. If you're excited by delivering innovative experience and working with variety of stakeholders in a fast-paced environment to delight Amazon sellers worldwide, this is the perfect opportunity for you.The ACCS Marketing team is looking for a self-motivated and experienced Sr. Product Marketing Manager to spearhead optimization of our traffic, email and website marketing. This role is responsible for leading a talented group of marketing managers, formulating marketing strategies, driving high-quality conversions across a vast array of campaigns for our global Amazon sellers and developing scalable mechanism through Marketing automation. You also will have high visibility to senior leaders across functions and businesses worldwide. You will work cross-functionally to drive product adoption and retention by communicating effectively with stakeholders in different teams and job categories; Product, Design, Business Intelligence, Sales, Finance, Legal and so on. This requires deep understanding of customers, business, products, levers for success, ability to deliver results, and skills to handle conflicting priorities.The ideal candidate is a self-starter who is comfortable dealing with ambiguity, making metrics and data driven decisions with taking risks, and has a strong desire to learn and lead in a fast-paced environment. You are able to think strategically, look at the business analytically, and implement flawlessly. As a leader, the right candidate will be comfortable with executive interactions, be an excellent communicator, passionate advocate, and creative professional. You will build and inspire a positive, high-energy, results-oriented culture in our team, creating a measurable impact across Amazon Currency Converter business.Key job responsibilities• Lead, inspire and inspect a team.• Hire and develop people.• Develop and execute online marketing strategy for driving product adoption and customer retention.• Align strategy with business leaders.• Create, review and raise quality of marketing materials such as email, website, and video contents. • Develop new metrics and targeting logic, and implement automated process for customer targeting. • Leverage a variety of channels and tools (e.g. email, website, social, video) to effectively communicate with the right target audiences.• Analyze qualitative and quantitative data for insights.• Document plan, performances and test results. • Drive marketing automation, process standardization and collaboration with stakeholders.BASIC QUALIFICATIONS- 6+ years of professional non-internship marketing experience- Experience managing teams- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience driving direction and alignment with cross-functional teams ...

Manager, Applied Science

We are looking for an Applied Science Manager to join the Forecasting Science team in the Worldwide Capacity Planning org. This role leads both the science and engineering efforts to design and implement innovative and automated end-to-end forecasting solutions to support planning, and address critical demand challenges and service quality metrics. In this role you have the opportunity to work on a variety of Machine Learning and engineering challenges, and be given the flexibility to continually learn new skills. You will also collaborate with scientists and other multiple partner teams (Product, Engineering).Key job responsibilities- Define and execute the scientific vision and roadmap for the team.- Deliver solutions to the core business problems, through the leadership in problem-solving, development of algorithms, new frameworks or systems, and so on, and influencing business partners.- Establish scientific culture and standards for all the scientists (publication, best practices, reviews, etc.).- Mentor and develop scientists to enhance the team’s talent and expand the impact of the work.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.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!Benefits summary: 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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamWorldwide Capacity Planning optimizes capacity across operations sites that help minimize customer wait time and route customers to the associate who can best resolve their issue, on the first contact. We build forecasting models and optimization tools that help predict the hourly capacity requirement, including when there are new device or game launches, or when there is a special event, such as Prime Day.BASIC QUALIFICATIONS- PhD or equivalent Master's Degree plus 5+ years of experience in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in statistical modeling, and machine learning.- 2+ years of management experience leading a team of scientists or machine learning engineers.- Knowledge of programming languages such as C/C++, Python, Java- Experience with Time Series Modeling and/or Predictive Modeling techniques.- Excellent written and verbal communication skills ...

Manager, Applied Science, Amazon Advertising

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Science Manager in Machine Learning, you will: - Directly manage and lead a cross-functional team of Applied Scientists, Data Scientists, Economists, and Business Intelligence Engineers.- Develop and manage a research agenda that balances short term deliverables with measurable business impact as well as long term investments.- Lead marketplace design and development based on economic theory and data analysis.- Provide technical and scientific guidance to team members.- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment- Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.- Develop science and engineering roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.- Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.- Collaborate with business and software teams across Amazon Ads.- Stay up to date with recent scientific publications relevant to the team.- Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video ~ https://youtu.be/zD_6Lzw8raE BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of scientists or machine learning engineers management experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience programming in Java, C++, Python or related language ...

Manager, Commercial Compliance, Security

As part of the Santos Supply Chain Security, Compliance, Privacy and Trust team, you will build the bridges between security, technology, operations, and compliance by working directly with our Santos service teams, corporate security teams, third-party assessors and auditors, and internal stakeholders. You will join industry-leading security professionals and practitioners in supporting B2B customers to ensure that our systems are designed, operated, maintained, and protected in accordance with leading industry standards, including ISO 27001, SOC 2 Types 1 & 2, etc. Key job responsibilities* Manage and scale a team of commercial compliance specialists to achieve, maintain, and renew certifications.* Dive deep into the controls environment to develop technical understanding of control implementation, and articulate compliance implications to internal and external audit functions.* Set strategic direction, improve documentation, track progress, coordinate improvement efforts, and monitor process improvement effectiveness.* Operate a rhythm of the business for managing changes to the control environment and external industry standards requirements; in preparing compliance assessment reports, guide control owners in documenting their own control activities and confirm readiness of controls for audit.* Develop broad domain and technical knowledge in AWS and Amazon corporate security solutions including the operational processes and controls in place that support compliance programs.* Monitor, evaluate, and continuously improve the business by being a trusted advisor, facilitator and creative problem solver. Develop and share program/project process frameworks, tools, and best practices that can be adopted throughout the organization.* Drive remediation and continuous improvements to the security organization, the program management process and control implementation projects in coordination with the service teams. This includes resolution of audit findings and the execution of projects originated from internal assessments.* Manage audit engagements and liaise with ISO/SOC 2/etc. auditors and Amazon service teams, articulate control implementation and impact, and establish considerations for applying security, privacy, and compliance concepts to a technical cloud environment.* Apply a working knowledge of global information security and privacy regulation and policy to articulate customer and control impact and drive alignment to Amazon business-level controls.* Effectively communicate compliance program results, including assessment status, workflow, remediation, and reporting, to a broad audience including technical peers and senior / executive leaders across participating Amazon organizations.About the teamBuy with Prime Supply Chain Security is looking for a highly motivated IT Compliance Program Manager to join our Security, Compliance, Privacy, & Trust (SCPT) team to lead and scale a compliance team pursuing leading commercial audits and certifications (ISO 27001, SOC 2 series, etc.). You will join industry-leading security professionals to ensure that the business team complies with industry leading, globally recognized security and privacy standards.BASIC QUALIFICATIONS* Bachelor's Degree in Accounting or Auditing, Information Systems Management, Computer Science, Business, or other related fields.* 7+ years of experience in security or compliance consulting in support of a highly technical, cloud services environment.* 7+ years of experience in performing and/or participating in technical audits/assessments in direct support of a major compliance effort (e.g. ISO 27001, SOC 2, NIST SP 800-53 based frameworks, etc.).* Experience in compliance consulting or advisory work supporting ISO 27001 and SOC 2 series * Experience communicating audit/assessment results and remediation plans with leadership and prioritizing and remediating findings with service/system owner.* Solid technical background with experience in cloud IT infrastructure and services/applications.* A detailed understanding of evaluating the design and effectiveness of IT controls and experience working with auditors/regulators for these types of assessments. ...