Amazon

Software Development Engineer Intern Machine Learning, Amazon Robotics. The role involves simplifying ML training infrastructure, extending monitoring of ML trainings, and potentially developing perception models for warehouse robots. It requires experience with AI, Neural Networks, Tensorflow, and PyTorch, and focuses on building scalable ML solutions within a robotics context.

Postdoctoral Scientist role in Amazon Robotics focusing on computer vision and manipulation challenges in warehouses, involving developing robotic manipulators with machine learning approaches. The role requires innovation in 3D scene understanding and item identification for robotic interaction.

MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, vision, optimization, OR, quantum computing, automated reasoning, or formal methods. Focus on designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Opportunity to design new algorithms and models, deploy solutions into production, and potentially publish work.

Senior Business Intelligence Engineer focused on building and scaling personalized recommendations for millions of customers across European marketplaces. The role involves leveraging real-time customer intent signals, large-scale EU retail data, and engagement metrics, applying custom processors and matching models. It sits at the intersection of business intelligence, data engineering, and data science, developing custom models using Python and Spark (embeddings, persona matching) and building production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI). The role also includes owning reporting, measurement, and deep-dive analytics for personalized marketing campaigns.

Senior Systems Engineer role focused on building and leading operations for AWS Managed Operations within the European Sovereign Cloud (ESC). The role involves ensuring high availability, reliability, and performance of core AWS services for EU customers, with a strong emphasis on automation and systems engineering.

This role is for a Cloud Support Associate for Amazon Web Services (AWS) European Sovereign Cloud (ESC). The primary responsibility is to provide customer support by solving technical cases through various channels, troubleshooting issues, and providing tailored solutions. The role also involves mentoring, developing training, partnering with development teams, and potentially writing scripts for team efficiency. While the company mentions Generative AI Innovation Center, this specific role is focused on general cloud support and troubleshooting, not AI/ML development.

This role is for a Cloud Support Engineer for Amazon Web Services (AWS) European Sovereign Cloud (ESC). The primary responsibility is to provide customer support, troubleshoot technical issues, and act as a 'Cloud Ambassador' for AWS products. The role involves solving customer cases via various channels, applying troubleshooting techniques, and potentially coaching new hires, developing training, partnering with development teams, writing tools/scripts, and working on process improvement. Fluency in German and English is required.

This role is for a VAT Manager in Amazon's Pan EU Indirect Tax Planning and Advisory team, focusing on German and EU VAT regulations. The candidate will act as a strategic business partner to finance, legal, accounting, and technology teams, providing guidance on legislative requirements and collaborating with tax authorities. While familiarity with emerging technologies like generative AI is mentioned, the core responsibilities are in traditional tax management, not AI/ML development.

Principal Engineer on the EC2 Accelerated Nitro team, focusing on developing next-generation EC2 instance families by innovating in virtualization, hardware acceleration (GPUs, FPGAs), and cloud computing infrastructure. The role involves leading the design and architecture of core EC2 capabilities, advancing virtualization security, mentoring engineers, and influencing the future of cloud computing. Requires expertise in low-level system software and hardware acceleration.