222 germany English-speaking jobs in Berlin

Support secure infrastructure, network security, and compliance for Amazon devices. This role involves Linux, scripting (Python/Bash), monitoring, and documentation. Candidates need cybersecurity knowledge.

Apply latest research to solve real-world robotics and AI problems. Design, build, and deliver end-to-end robotic systems, focusing on perception, motion planning, and decision-making algorithms. PhD required.

Senior Program Manager will drive and manage the implementation of creative, data-driven change in Amazon, leading improvement projects and programs. Responsibilities include creating innovative solutions using data and research, taking a big-picture approach to business operations, and working with senior leadership to establish and prioritize improvement programs.

Working Student – Global Retention will support the execution of retention marketing strategies across website, app, email, and other channels. Responsibilities include assisting with A/B testing, campaign execution, and performance analysis. The role requires a general understanding of e-commerce, online marketing, and user experience (UX), with a strong affinity for data, experimentation, and customer retention strategies.

Lead GTM strategy and execution for SAP workloads in EMEA Public Sector. Drive co-sell with SAP and partners, leveraging deep SAP expertise to position AWS as the cloud provider of choice.

Controls Engineer for EMEA focuses on building automation systems for European Sovereign Cloud data centers. Responsibilities include designing, commissioning, and maintaining critical infrastructure systems. Requires a technical background and English proficiency.

Systems Engineer/DevOps Eng for AWS Managed Operations, focusing on the European Sovereign Cloud. Responsibilities include building and leading teams to deliver high-availability AWS services for EU customers. Requires Linux/network troubleshooting and scripting experience.

Maintain critical physical infrastructure in Data Center Engineering Operations. Responsibilities include operating and maintaining electrical, mechanical, and fire/life safety equipment to ensure high availability. Requires a Bachelor's degree in Electrical or Mechanical Engineering.

Applied Scientist role at Amazon Robotics focuses on combining LLMs with classical AI reasoning. Responsibilities include innovating on plan generation and verification, publishing research, and applying science to robotics and automation problems.

Sr. Innovation Engineer to identify and evaluate advanced technology use cases within AMZL Delivery Stations. This role defines the integration roadmap, assesses technology providers, and influences the last mile roadmap using data. Requires engineering background and analytical skills.

Lead end-to-end delivery of complex technical programs for EC2 core compute platforms, including Nitro System and instance families (C, M, R, X, Flex, and T). Own programs spanning hypervisor evolution, virtualization enhancements, confidential computing, and security hardening. Track customer commitments and capacity forecasting for large-scale workloads. Drive operational improvement programs to reduce toil and improve fleet sustainability. Collaborate cross-timezone with US-based teams.

Senior Applied Scientist to design, implement, and evaluate machine learning solutions for developers using generative AI and LLMs. Focus on enhancing the developer experience in the cloud. Collaborate with engineers to deliver end-to-end modeling solutions.

Applied Scientist will innovate on combining language models with classical AI reasoning. Responsibilities include publishing research, developing AI systems, and working with engineers to implement ideas. Requires experience with machine learning, deep learning, and publications in generative AI reasoning or classical planning. PhD in a relevant field is required.

Applied Scientist to lead R&D of models for personalized recommendations at Amazon Music. This role involves building science-driven strategies, developing models for performance metrics, and collaborating on GenAI features.

Drive model post-training for Large Language Models (LLMs) powering Alexa+. Apply techniques like supervised fine-tuning, reinforcement learning, and knowledge distillation to improve customer experience. Own the full model development cycle, from data curation to deployment.

Postdoctoral Scientist to join Amazon Robotics in Berlin. Develop computer vision and robotic manipulation solutions for automating picking operations in fulfillment centers. Work on real-world hardware and software, including machine learning. Publish research and collaborate with a global science community. PhD in a relevant field required. Experience in item perception and manipulation, and proficiency in relevant technologies. Fluency in English required.

Applied Scientist to research, design, and implement computer vision and decision-making algorithms for robotic systems. Collaborate with engineers and scientists to develop and deploy end-to-end robotic solutions. PhD in a relevant field and experience publishing in robotics conferences or journals required.

The Support Engineer will handle billing tasks, customer support, and escalations for AWS customers. Responsibilities include auditing billing data, providing data management, discount calculations, and identifying operational improvements. The role requires a Bachelor's degree, experience with Microsoft Excel and SQL, and experience in sales operations.

Senior Kernel & Hypervisor Engineer will build the EC2 Nitro Hypervisor for AWS, developing virtualization components and automating infrastructure flows. Responsibilities include designing, testing, and deploying solutions across the virtualization software stack, driving operational excellence, and influencing the technological roadmap. Experience designing or architecting systems, full software development life cycle, and writing clean, optimized, and scalable code using C or Rust is required.

Develop and maintain the EC2 Nitro Hypervisor for AWS. Build virtualization components, automate infrastructure, and improve hypervisor quality. Collaborate with global teams to drive innovative solutions.