Amazon is seeking an Applied Scientist II in Dublin, Ireland to enhance package delivery efficiency through innovative machine learning models. This role involves building ML solutions for various transportation challenges and requires a strong background in ML frameworks and programming. The ideal candidate will have 3+ years of relevant experience and a PhD or Master's degree in a related field. Join a diverse team making impactful decisions in logistics. #J-18808-Ljbffr
Applied Scientist II, Amzn Shipping-Prd & Tech Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be pick from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements. If you are excited by this charter, come join us! Basic Qualifications 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications Experience using Unix/Linux Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
Mechatroniker / Elektroniker / Mechaniker, Instandhaltung (m/w/d) - Dahlewitz Job ID: 3202221 | Amazon Deutschland S28 Transport GmbH - L64 Für unseren neu eröffneten Standort in Dahlewitz suchen wir nach einem Mechantroniker / Elektroniker / Mechaniker (m/w/d) oder vergleichbaren Fachkräften als Instandhaltungstechniker:in! Das Wartungs- und Instandhaltungsteam (Reliability Maintenance Engineering Team oder RME-Team) ist für unseren Betrieb von fundamentaler Bedeutung – es sorgt dafür, dass unsere technischen Systeme und Anlagen laufend funktionieren. Als Instandhaltungstechniker:in bist Du für die Wartung und Instandhaltung unserer förder- und haustechnischen Anlagen sowie Produktionsanlagen zuständig. Du hilfst, die höchsten Sicherheitsstandards im Arbeitsschutz zu gewährleisten und Maschinenausfallzeiten zu verhindern. Unser technisches Team stellt eine hohe Verfügbarkeit der technischen Anlagen sicher und verbessert die Qualität unserer Geräte. Key job responsibilities Ausführung präventiver Wartungsmaßnahmen an einer breiten Vielfalt von Geräten an unseren Standorten Durchführung von Reparaturen und Fehlerdiagnosen Verwendung neuester Tools zur Maximierung der Geräteeffektivität Einhaltung aller Arbeitsschutzrichtlinien und -praktiken Unterstützung der Entwicklung und des beruflichen Fortschritts von Auszubildenden am Standort Arbeit an Projekten zur kontinuierlichen Verbesserung und Einführung von Best Practices an verschiedenen EU-Standorten About the team Ein unbefristeter Vertrag direkt mit Amazon Ein attraktives Vergütungspaket Eine kostenlose Lebens- und Erwerbsunfähigkeitsversicherung und Unterstützung bei der betrieblichen Altersvorsorge Mitarbeiterrabatte auf amazon.de sowie Amazon Extras (z. B. Rabatte in Reisen, Restaurants, Unterhaltung, Elektronik, Heim etc.) Bezuschusste Mahlzeiten Pendlerleistungen: Kostenloses Parken, Kostenübernahme für das Deutschlandticket oder Bike Leasing Angebote Familienbonus (Einmalzahlung für Eltern in Elternzeit) Vermittlungsservices für die Betreuung von Kindern, Senioren und Menschen mit besonderen Bedürfnissen Hervorragende Weiterentwicklungsmöglichkeiten in einem globalen Unternehmen Qualifications Abgeschlossene technische Berufsausbildung, anerkannt durch die Industrie- und Handelskammer (IHK) oder Handwerkskammer (HWK) oder Nachweis eines erfolgreich abgeschlossen Hochschulstudium im Ingenieurwissenschaftlichen Bereich (Maschinenbau / Elektrotechnik oder artverwandt) einer deutschen Hochschule oder anerkannte ausländische Hochschulabschlüsse Berufserfahrung in dem entsprechenden Handwerk Erfahrung in der Instandhaltung von industriellen Produktionsanlagen Fortgeschrittene Deutschkenntnisse in Wort und Schrift Erfahrung mit zustandsorientierter Überwachung Erfahrung in der Arbeit mit Druck- und Applikationsmaschinen Erfahrung in der Störungssuche und Wartung von Förder- oder Automationssystemen Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr
Amazon is looking for an Applied Scientist II in Dublin to develop data-driven solutions for Amazon Payment Products. Responsibilities include designing scalable ML and AI solutions, mentoring colleagues, and solving payment-related challenges. Candidates should have a Master’s or PhD, alongside 5+ years of relevant experience in machine learning and strong analytical skills. This role significantly impacts customer payments and product strategy. #J-18808-Ljbffr
Amazon is seeking an Applied Scientist for its Payment Risk Mining ML team in Dublin, Ireland. This role focuses on developing machine learning models to detect and prevent fraud. Ideal candidates will have 3+ years of experience in building models, a PhD or Master's in a related field, and proficiency in programming languages such as Python, Java, or C++. Responsibilities include analyzing data, collaborating with engineering teams, and driving improvements in fraud detection and prevention. #J-18808-Ljbffr
Amazon in Dublin is seeking a qualified Electrical Engineer to handle design and equipment reviews for Data Centers. The role requires collaboration with multiple teams and managing engineering projects. A Bachelor's degree in Electrical Engineering or related field is essential. Ideal candidates should have experience in mission critical facilities and be proficient in design processes. This position includes opportunities for mentoring and global project participation, emphasizing travel for up to 25%. #J-18808-Ljbffr
Senior Applied Scientist, International Machine Learning Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state‑of‑the‑art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real‑world problems? If yes, you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom‑line, we want to talk to you. Responsibilities Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes Design, develop, evaluate and deploy innovative and highly scalable machine learning models Research and implement novel machine learning and statistical approaches Work closely with software engineering teams to drive real‑time model implementations and new feature creations Work closely with business owners and operations staff to optimize various business operations Establish scalable, efficient, automated processes for large‑scale data analyses, model development, model validation and model implementation Mentor other scientists and engineers in the use of machine learning techniques Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large‑scale complex ML models in production Lead projects and mentor other scientists and engineers About the team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom‑line and top‑line of India business. Learn more about our team from https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwide. Basic Qualifications 7+ years of building machine learning models for business application experience PhD or Master’s degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc. Experience with large‑scale distributed systems such as Hadoop, Spark, etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
Key job responsibilities Perform design and equipment submittal review for Data Centers in your region. Interface with internal and external data center design engineering team, server hardware team, environmental health and safety team, field engineering, and controls engineering to promote standards that maintain consistency and reliability in services delivered. Work on concurrent projects, sometimes in multiple geographical regions, and act as a technical subject matter expert for your discipline. Support construction, commissioning, operations, and turnover. Be detail and data‑oriented with familiarity with design/construction processes. Have experience managing engineering projects and engineering consultants. Build trust and relationships with different stakeholders (e.g., Operations, Commissioning, Construction and Design). A day in the life Each day you will interact with different teams responsible for various aspects of the data centers. You will mentor and oversee the work of junior engineers in your discipline. You will have the opportunity to work on projects locally and globally, with up to 25% travel. Basic Qualifications Bachelor's degree in Electrical Engineering or a related field Experience in industrial or commercial engineering in mission critical facilities, including but not limited to data centers, power generation or oil and gas facilities Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications Professional Engineer License Experience with building codes and regulations for your region Experience carrying design concepts through exploration, development, and into deployment or mass production Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr
Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for its Payment Risk Mining ML team, whose mission is to combine advanced machine learning techniques to detect negative customer experiences, improve system effectiveness, and prevent bad debt across Amazon. As an Applied Scientist in Risk Mining, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through state-of-the-art techniques including statistical models, deep learning, large language models (LLMs), and agentic AI systems. You will explore and implement state of the art approaches such as graph neural networks, anomaly detection, GenAI-powered investigation agents, and multi-agent systems to automate fraud detection and prevention at scale. You will build and deploy production-ready models and automated systems to improve operational efficiency and reduce bad debt. You will collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions. The ideal candidate should be able to apply a breadth of tools, and advanced ML techniques, from traditional machine learning to emerging agentic frameworks, to take ideas from experimentation to production, driving tangible improvements in fraud detection and prevention. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high-impact role with goals that directly impact the bottom line of the business. Key job responsibilities Own end-to-end development of machine learning models for large-scale risk management systems Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends Design, develop, validate, and deploy innovative models to production environments Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency Collaborate closely with software engineering teams to implement scalable, real-time model solutions Partner with operations and business stakeholders to translate risk insights into measurable impact Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders Research and implement novel machine learning and statistical methodologies Basic Qualifications 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
Associate, Quality Services, Last Mile TransporterX The Quality Services (QS) organization provides testing support for Devices, Retail, and AWS products. The primary objective of the QS organization is to provide manual testing support. As an Associate, Quality Services, you will perform manual test execution of documented task instructions, produce accurate test results meeting daily targets, and adhere to defined processes. Key Job Responsibilities Gain understanding of the application test procedures and how to use applicable software and tools. Execute test instructions and report test results accurately and promptly. Report any deviations observed. Understand any changes in test instructions related to their assigned work. Follow defined processes to perform assigned work. Basic Qualifications Bachelor's degree Knowledge of QA methodology and tools Preferred Qualifications Understanding about software testing. Ability to complete assigned tasks accurately and promptly. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
