127 English-speaking jobs in Brandenburg

In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.

Leads a team of Data Scientists, Operations Research Scientists, and Machine Learning Engineers to maximize the impact of real-time courier incentive systems. Owns the data science strategy for courier compensation models, dynamic boost and surge mechanisms, and engagement incentives. Drives critical business outcomes by taking ownership of key courier supply metrics. Designs the conceptual framework for real-time incentive engines, balancing model sophistication with latency and reliability constraints. Oversees the development of predictive models to address local supply-demand imbalances and optimize real-time boost levels. Ensures pay models are rigorous, auditable, mathematically consistent, and free from unintended bias. Leads the design and execution of complex marketplace experiments to measure the real-world impact of pay and incentive changes. Directs the modeling of courier behavior and builds frameworks to maximize the ROI of incentive spend.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong experience in Machine Learning, Python, and cloud services is required.

As Senior Data Scientist for Logistics, you will design, build, and deploy data-driven solutions to optimize logistics operations. You will develop machine learning models to address challenges such as order preparation triggers, courier dispatch timing, and balancing business metrics. You will work closely with engineers to integrate models into the real-time production logistics stack.

Leads a team of Data Scientists, Operations Research Scientists, and Machine Learning Engineers to maximize the impact of real-time courier incentive systems. Owns the data science strategy for courier compensation models, dynamic boost and surge mechanisms, and engagement incentives. Drives critical business outcomes by taking ownership of key courier supply metrics. Designs the conceptual framework for real-time incentive engines, balancing model sophistication with latency and reliability constraints. Oversees the development of predictive models to address local supply-demand imbalances and optimize real-time boost levels. Ensures pay models are rigorous, auditable, mathematically consistent, and free from unintended bias. Leads the design and execution of complex marketplace experiments to measure the real-world impact of pay and incentive changes. Directs the modeling of courier behavior and builds frameworks to maximize the ROI of incentive spend.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong experience in Machine Learning, Python, and cloud services is required.

Join the warehouse team in a fixed-term full-time role. Duties include receiving, stowing, picking, packing, and shipping goods using technology. Basic German or English is required.

Join the Cloud Managed Services team as a (Senior) SAP Logistics Consultant. Support clients across the SAP Logistics lifecycle, focusing on SD and S/4HANA Cloud ERP. Requires 3+ years of experience with SAP ECC or Cloud ERP.

Amazon is hiring Warehouse Staff for logistics centers. No prior experience is needed. Opportunities are available for full-time and part-time roles with fixed shift schedules.

Amazon is hiring Fulfillment Associates for shipping and warehouse roles. Students are welcome, and no prior logistics experience is required. Positions are available in Kaiserslautern and Ramstein-Miesenbach.

Amazon is hiring Warehouse Workers for logistics centers. Students are welcome to apply. Roles include shipping and warehouse employee positions with various shift options available.

Professor of Software Engineering responsible for module teaching, program development, and research. Requires expertise in software engineering, modern tools, and international experience.

Accounting Clerk role focusing on Accounts Payable and Accounts Receivable. This position is within NTT DATA, a global business and technology services leader.

Professor of Artificial Intelligence needed for module responsibility, teaching, and research development. Requires expertise in AI subfields, proficiency in tools like Python/PyTorch, and significant publications.

Professor of Cybersecurity needed for Gisma Bachelor and Master programmes. Requires expertise in cybersecurity, practical skills with industry tools, and experience in research and teaching.

Food Inspector role involves performing merchandise inspections and supervising container stuffing according to company procedures. Requires 2+ years of quality management experience for food products, knowledge of AQL standards, and good English skills.

Warehouse Worker role involves receiving, stowing, picking, packing, and shipping goods using technology. Requires basic German or English, comfort with standing/walking, and ability to lift up to 15kg.

Entry-level Warehouse Employee role involving receiving, stowing, picking, packing, and shipping goods. Requires basic German or English, comfort with physical activity, and adherence to safety standards.

Lead global legal product strategy, aligning risk frameworks with the product roadmap. Provide counsel on international consumer law, e-commerce, and digital platform requirements while setting vision for an AI-first legal function.

Shipping/warehouse employee role available at Amazon logistics centers. Opportunities exist for full-time and part-time positions. Students are welcome to apply.