Top Machine Learning Jobs in Germany

The Sales Engineer will support the full sales cycle by providing technical expertise, assisting with project scope, conducting demos, guiding proofs of value, and training the sales team on LogicMonitor's technology. The role requires acting as a liaison between sales, product management, and technical support, ensuring the sales team has the necessary knowledge for success.

The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions in Firefox, oversee the building of infrastructure for LLMs, implement validation procedures, and optimize models for performance.

As a Machine Learning Engineer or Architect, you'll provide technical leadership to clients on GCP, design and implement AI/ML solutions, and troubleshoot technical issues. You will collaborate with diverse teams and educate clients through workshops on AI/ML and GCP capabilities.

As a Senior AI Engineer, you'll develop and deploy AI technologies for the remberg XRM system, collaborating closely with founders, improving product features, building data pipelines, and integrating proprietary data sources while optimizing performance and ensuring stability.

As the Head of Applied Science for Performance Marketing at Zalando, you'll lead a team in crafting data-driven strategies that enhance marketing effectiveness. Your role involves applying machine learning, predictive models, and causal inference to optimize marketing performance and drive substantial customer value. You'll mentor applied scientists, keep the team informed of the latest research, and ensure high-quality outcomes through collaboration with other departments.

As a Machine Learning Engineer at Grover, you will deploy and productionize machine learning models for credit risk and fraud detection, collaborate with data scientists, maintain ML pipelines, and support real-time decision engines. You will also develop and optimize deployment pipelines.

As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.

The internship involves developing a machine learning algorithm for classifying faulty scenarios in Advanced Driver Assistance Systems (ADAS) using continuous data from radar and camera. You will also test, optimize the algorithm with real data, and integrate it into an existing validation framework.