Zoox jobs

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

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

Senior Manager, Clinical Diagnostics CDx (Precision Medicine) 2 Locations posted: Posted 2 Days Ago

Data Scientist II, RufusX Science UK London, England, GBR We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems. Key job responsibilities Key job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and

Software Development Engineer, CreativeX New York, New York, USA Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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! Key job responsibilities You'll own the design and implementation of major deliverables end-to-end across the entire technology stack-from frontend to API layer, database, infrastructure, and agent architecture. You'll build scalable, well-designed software services that remove engineering complexity while preserving partner teams' autonomy to innovate. You'll leverage AI throughout the development lifecycle for coding, debugging, and problem-solving, embracing AI-assisted development practices to increase productivity. A day in the life The ideal candidate combines solid full-stack coding expertise with an understanding of AI agent concepts including context management, memory systems, and how Large Language Models (LLMs) work. You must be passionate about quality, consistency, maintainability, performance, and security. You'll need to be a fast learner who stays current with rapidly evolving AI technologies, comfortable with ambiguity, and willing to challenge the status

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

Ayudante general (control de plagas) MEX - Tlaxcala - Tlaxcala posted: Posted 2 Days Ago

Applied Scientist Gen AI - Amazon Advertising, CreativeX Seattle, Washington, USA Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related. As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers, UX and engineers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who are adept at a variety of skills, especially at the Agentic AI, development and use of multi-modal Generative AI and can use state-of-the-art generative music and

Applied Science Manager GenAI, CreativeX, Amazon Advertising Seattle, Washington, USA Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (images, videos) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), reinforced learning (RL), and image + video and audio synthesis. We are looking for a talented Applied Science Manager who can help set the scientific agenda and provide best in class mentoring within the scope of advancing advertiser-facing generative AI. You will help lead scientists within a close-knit team who is highly collaborative and at the top of their respective fields. Our science team is adept at a variety of skills, especially with agentic AI, generative multi-modal models, LLMs, computer vision, latent diffusion and related foundational models. As a Science Manager you will:

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Frontend Engineer, Fauna New York, New York, USA We are seeking a Frontend Engineer to join our team. You will own end-to-end delivery of web and native applications spanning interactive robot control interfaces, real-time data visualization, and internal developer tooling. Your decisions will directly shape how operators and customers, researchers experience our technology at scale. You will tackle uniquely complex challenges at the intersection of frontend engineering and advanced robotics-from sub-100ms latency control interfaces to highly-available telemetry pipelines. Key job responsibilities - Develop real-time data visualization tools for robotics telemetry and analytics. - Create internal tools that accelerate development and operations workflows. - Optimize frontend performance for low-latency, real-time interactions. - Collaborate with robotics and backend teams to design APIs and data models. - Contribute to the evolution of our interfaces About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We're changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products. Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We're building robots that feel responsive, expressive, and genuinely useful. At Fauna,

Application Support Engineer, Fauna New York, New York, USA We are looking for an Applications Engineer to join the Fauna Robotics support team. This role is hands-on technical problem-solving combined with operational ownership that helps the team scale. You will be a primary point of contact for customers experiencing issues with Fauna robots in the field, responsible for diagnosing problems that span hardware and software, and driving those issues to resolution with a high degree of independence. You will take active ownership of building and improving support infrastructure: establishing the tools, processes, documentation, and feedback loops that the team needs as our customer fleet grows. You will work directly with highly technical customers including engineers, scientists, and researchers, conducting troubleshooting across mechanical, electrical, and software systems and driving issues to root cause and resolution. You will work as part of a cross-functional support team that includes field engineers and technical support staff, collaborating on issue resolution from initial diagnosis through on-site repair. Key job responsibilities - Serve as a primary technical point of contact for customer-reported issues with Fauna robots, conducting remote troubleshooting and driving problems to root cause and resolution across hardware and software domains. - Develop and maintain support infrastructure including ticketing/case management, knowledge base, troubleshooting playbooks, and corrective action documentation. - Analyze and report on support metrics (response time, resolution time, issue categorization, repeat failure rates) to identify trends, surface insights, and inform product improvements. - Communicate field issues clearly to engineering and software teams through structured

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Software Development Engineer, Creative X New York, New York, USA Are you passionate about generative AI and building scalable systems that impact billions of customers? Join our team in Amazon Ads, where we're developing GenAI-powered creative infrastructure at Amazon scale, serving 100+ billions monthly ad impressions. Amazon Advertising sits at the intersection of e-commerce and advertising, offering innovative digital ad solutions that help customers discover and shop for anything they need. As one of Amazon's fastest-growing businesses, our mission is to accelerate this growth through world-class engineering, data, and intelligence. Our team is leveraging generative AI to deliver dynamic, personalized ad experiences at massive scale. We help merchants, retail vendors, and brand owners reach customers even before they know what they're looking for. From transforming UX designs into production ready code, to building robust feedback loops, to selecting the most effective creative for each shopper and context in real time, our work powers some of the most visible and valuable placements on Amazon. This is a rare opportunity to collaborate with some of Amazon's top engineers, lead high-impact initiatives, and shape one of the most ambitious bets in Amazon Ads. Join us and help redefine how customers discover and shop on Amazon. Key job responsibilities - Evolve a scalable multi-agent AI application that powers ad placements on Amazon and across premium publisher environments such as NYTimes, seen by billions of customers daily - Design and improve evaluation frameworks, feedback loops, and automated guardrails to elevate agent output quality - Extend