Mux jobs

Sr. BIE, EMXO PLX Bengaluru, Karnataka, IND Hundreds of millions of customers, billions of transactions, petabytes of data… How to use the world's richest collection of e-commerce and device usage data to acquire new customers, drive engagement and grow Prime - ultimately to drive the growth engine for our customers across all the Emerging markets. Amazon's Emerging Markets Prime, Lifecycle & XCM team (EMXO PLX) team seeks a Sr. Business Intelligence Engineer focusing on solving strategic & complex problems to help build linkages on what drives customer growth in sync with the various marketing initiatives, incentivization programs, store inputs and ultimately build frameworks which will help improve our investment strategies to make them more efficient and effective. At the core of it, we focus on building intelligence on how much to invest, where and what is the ROI while we invest millions of dollars across all EMs and keep a track on customer growth outcomes. Amazon.com has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities. As a Sr. BIE in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as use statistical and machine learning techniques. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver

UX Designer, Design Systems, People Engagement Experience (PEX) Seattle, Washington, USA Location: Seattle, WA The People Engagement Experience (PEX) is the cord across our People Engagement (PE) experiences made up of forward-thinking UX designers, researchers, writers and design technologists. PEX is revolutionizing the user experience for Amazonians across the globe. Our design work has a direct impact on the lives of millions of Amazonians, helping them achieve work-life balance and advance in their careers. We're also customer-obsessed, driving impact across the company by delivering on user-centered and business needs. We support Amazon's mission to become Earth's best employer through making it easier to acquire, train and retain employees. As a UX Designer on the employee-facing design systems team, you will contribute to design initiatives, including Figma component, pattern, and style libraries. You will work with designers and engineers across multiple organizations to help create and implement components and standards. You will bring a scalable design approach to your work, and consider how to best deliver components, patterns, and templates that scale across products and platforms. You'll be focused on the design details while also understanding the technical requirements to bridge the gap between product and engineering. You'll also explore how AI-powered design tools and intelligent systems can enhance design system workflows and component creation. To succeed in this role, you must be a self-starter who is eager to learn, collaborate closely with engineering, and contribute to operational excellence. You must be able to succeed in a highly ambiguous, fast-paced environment.

Business Intelligence Engineer, EMXO PLX - Analytics and Science Team Bengaluru, Karnataka, IND The EMXO PLX Analytics and Science team drives customer satisfaction and business growth by applying analytics and scientific methodologies to optimize the end-to-end customer experience across lifecycle marketing and social commerce. The team supports continuous improvement of programs, enhances marketing effectiveness, and develops innovative products and measurement solutions that help customers discover, engage, and progress throughout their journey with Amazon. We are seeking a highly analytical and results-oriented individual contributor with a proven ability to work cross-functionally with internal and external stakeholders to solve complex business problems. The ideal candidate has a strong track record of generating actionable insights and translating data into evidence-based recommendations that inform strategic decisions and business priorities. Success in this role requires strong problem-solving skills, attention to detail, and the ability to thrive in a fast-paced, ambiguous environment while effectively managing multiple priorities. The candidate should demonstrate intellectual curiosity, a passion for innovation, and enthusiasm for leveraging new technologies and methodologies to improve decision-making. This role offers the opportunity to develop original analytical approaches, scalable solutions, and impactful recommendations in a dynamic and rapidly evolving business landscape. Key job responsibilities - Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership - Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities - Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems - Simplify

Sr. UX Researcher, Multichannel Commerce and Fulfillment (MCCF) Seattle, Washington, USA Join the Multichannel Commerce & Fulfillment (MCCF) UX team and influence how millions of shoppers and merchants leverage Amazon to be successful in a multichannel world. We pioneer AI-enhanced research methods that compress analysis from hours into seconds, accelerating insight generation and strengthening decision-making. Your work will directly shape product strategy, design choices, and user journeys across Amazon's multichannel commerce and supply chain ecosystem. Key job responsibilities As Sr. UX Researcher, you will own end-to-end research initiatives that drive strategic outcomes for shoppers and merchants in multichannel commerce and supply chain. You will apply diverse methodological approaches to address complex business challenges, streamline every stage from goal-setting to insight synthesis, and exercise sound judgment in selecting appropriate research techniques. You will convert intricate data into clear, actionable recommendations that inform product choices. You will uncover market opportunities and communicate customer pain points with clarity while delivering evidence-backed guidance. You will harness AI-powered research capabilities that accelerate timelines from hours to seconds, producing rigorous findings through persuasive documentation and genuine user testimony. You will demonstrate research influence on product priorities and design outcomes to cross-functional collaborators. You will develop materials that connect with varied audiences from engineering teams to executive leadership and foster stakeholder consensus around customer understanding that transforms the merchant experience. You will democratize research by partnering with program managers to enable weekly research operations and user sessions, making insights accessible across the organization. Your research will affect

Software Development Engineer, CreativeX New York, New York, USA The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer (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 nouvelle 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 nouvelle 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

Software Development Engineer, CreativeX New York, New York, USA 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 nouvelle 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 nouvelle 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

CEx Program Specialist, Asian Language (m/f/d) Berlin Requisition Number: 75496 The company built on breakthroughs. ​ Join us.​ Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. ​ How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward. ​ ​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​ ​Come break through with us. Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings - carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use. Role Purpose The CEx Program Specialist provides tactical account mana

Machine Learning Engineer, CreativeX New York, New York, USA The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer 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 nouvelle 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 nouvelle 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

Principal UX Designer, Prime Video Experience Design (PVXD) San Francisco, California, USA Are you interested in shaping the future of entertainment? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is changing the way people watch movies and TV. From one service, we're delivering versatile ways to watch hundreds of thousands of movies, TV series, and live events on the web, mobile, and TV. Our service is available in more than 200 territories globally, and we're just getting started. Prime Video is seeking a Principal UX Designer for an experimental, forward-thinking design lab exploring the frontier of generative AI, conversational experiences, and emergent entertainment technologies. This is not a traditional design role; it's a creative partnership at the edge of what's possible. You'll be pushing the boundaries of what Prime Video can become in an AI-first world. You'll hypothesize bold experiences - from conversations with AI characters inspired by entertainment properties to generative video and dynamic, personalized content - and bring them to life through rapid prototyping and iterative experimentation. This role sits at the intersection of moonshot thinking and hands-on craft. You'll be equally comfortable sketching a conversation flow with an LLM-powered character as you are pulling emerging generative tools (Runway, Luma AI, generative imagery platforms) into the product vision. You'll think metamorphically - not anchored to what Prime Video is today, but what it could become tomorrow. Key job responsibilities Frontier Design & Experimentation: * Design end-to-end experiences at

Responsable PLM BOM / PLM BOM Value Stream Owner (3DX) CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG posted: Posted 2 Days Ago

Senior UX Researcher, LearnX Mountain View, CA, USA; +1 more At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to gather insights and create industry-leading products. You'll play a critical role in helping your team understand user needs and will drive impact at all stages of product development, ensuring products are useful, usable, and helpful. You will explore user behaviors and motivations by conducting primary research, including: field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis. You will also grow within a supportive UXR community offering mentorship, regular meetups, and exclusive internal tools. As a Senior UX Researcher on the LearnX team, you will lead research to identify product opportunities for learners across Gemini, NotebookLM, Labs, and YouTube. Your work will advance GenAI investments for students and guide the user experience. Learning is the ongoing quest for understanding, and we made it our mission more than 20 years ago to organize the world's information to make it universally accessible and useful. The learning landscape is changing, and the Learning and Education team's mission is to help everyone in the world learn anything in the world. We provide the information, tools, and services that help people gain knowledge, fuel curiosity, and prepare for what's next. We focus our work to add the most value for users to enable learning for school, work,

Software Development Manager, CreativeX - Dynamic Creative Optimization New York, New York, USA The CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented SDM 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 nouvelle 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 - As a Software Engineering Manager you will be responsible for leading a strong team of engineers to innovate and deliver software and infrastructure that powers the Dynamic Creative Optimization. - Work backwards from the customer to invent new solutions and to improve existing software. - Work with the product and technical leaders to define the product direction and roadmap. - Create vision and execution documents. Insist on the high bar for technical documentation and the quality of the developed software. - Perform hands-on code reviews and other technical deep dives to ensure the right thing is being built and delivered to customers. - Hire, coach, and mentor software engineers. About

Senior UX Researcher Ireland, Limerick posted: Posted 30+ Days Ago

Machinist (MST) - Night 2 Austin (Ed Bluestein, Manufacturing) posted: Posted 30+ Days Ago

Mid-Level Platform Engineer Uxbridge, UK (ZUK131) posted: Posted 10 Days Ago

Senior Analog Design Engineer - MCU Yokneam Ilit posted: Posted 30 Days Ago

UI/UX Engineer San Diego, CA posted: Posted 24 Days Ago

Principal UX Designer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago

UI/UX Engineer San Diego, CA posted: Posted 4 Days Ago

System and Application Engineer F/M Guadalajara posted: Posted 25 Days Ago

Staff AI VFX Engineer 4 Locations posted: Posted 23 Days Ago

Senior/Lead SoC Emulation Engineer Noida posted: Posted 29 Days Ago

Internship - MicroLED application engineer 2 Locations posted: Posted 30+ Days Ago

Software Dev Engineer II, Prime MG Tech - Customer Experience Engineering Vancouver, British Columbia, CAN Ever wondered what powers the content experiences seen by hundreds of millions of Prime members across every Amazon marketplace on the planet? Prime Customer Experience Engineering (CXE) provides the governance and technical backbone for the development lifecycle of every Prime experience, spanning the CX layer and the wiring that connects it to the data sources behind it. We own the core framework for building and maintaining Prime CX widgets and the content experimentation systems for every Prime experience. Together, these systems power Prime CXs across functions like acquisition, onboarding, engagement, and retention, across channels including .com, email, notification, text, and WhatsApp - ensuring Prime-owned CXs, which drive roughly 70% of Prime member growth, scale consistently and reliably. Within CXE, the CX Authoring team owns the content infrastructure layer - the self-service platforms, tools, and frameworks that enable teams across Prime to create, configure, localize, and deploy customer experiences at global scale without deep engineering expertise. We're building an AI-native framework that is fundamentally reimagining how Amazon creates customer experiences. Our vision is bold: compress CX development from weeks of manual effort down to hours of AI-assisted generation with human-in-the-loop validation - pioneering design-to-code GenAI workflows, automated content generation, intelligent compliance checking, and multi-agent orchestration. Our north star? Anyone can create world-class Prime experiences without writing code, AI handles localization and optimization automatically, and launch timelines collapse from weeks to days - across all Prime marketplaces