Top Machine Learning Jobs in Germany

The Applied Research Scientist will develop advanced tools for enhancing written English using NLP, ML, and DL technologies, contributing to product development and research strategy.

As an AI Architect, you'll drive value realization for GenAI technology, provide technical guidance, lead enablement programs, and deliver innovative solutions to enhance customer outcomes.

As a Network Data Analyst, you will analyze antenna performance and network behaviors while applying data science and machine learning techniques. You will contribute to simulation tools and visualize data findings.

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

The Principal Engineer will develop automotive technology stack, collaborate with teams, and ensure effective software integration of vehicle data with maps.

The Senior Product Manager will lead strategy for AI agents at Grammarly, developing product roadmaps, defining success metrics, and collaborating cross-functionally to enhance productivity workflows.

As a Lead AI Solutions Consultant, drive revenue by promoting BrazeAI tools, lead technical discussions, execute demos, and facilitate AI Academy workshops while collaborating with stakeholders.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Principal AI Architect leads AI technology transformations for enterprises, includes advisory roles, designing AI use cases, governance, and optimizing implementations.

Lead agile project teams to enhance customers' supply chain processes using data-driven insights and Celonis technology, focusing on digital transformation and consulting.

As an Audio Machine Learning Research Intern, you will develop AI-powered audio processing algorithms, prototype solutions, and present findings within a team focused on innovative audio technology.

Drive commercial adoption of foundation models, engage commercial accounts, support sales cycles, and communicate technical value to clients.

Lead the development of logistics optimization systems, ensuring efficient delivery routing by collaborating across teams and using data-driven strategies to meet company goals.

Manage Data Analytics and Forecasting for international markets, develop models, analyze data trends, and support strategic decision-making processes.

The EMEA Sales Leader will drive NVIDIA's Cloud Partner GTM strategy, enhance partnerships, and deliver revenue growth through strategic deal-making and management of sales teams.

The Staff AI/ML Engineer leads complex AI/ML system architecture, technical strategy, and mentoring while driving innovation and business alignment across teams.

As a Senior Scientist, you will drive research and application of AI and graphs to enhance industrial processes and create prototypes for innovative AI solutions, collaborating with cross-functional teams and working with diverse data types.

The role involves researching and applying AI techniques, developing prototypes for industrial applications, and collaborating with teams to enhance automation and digitalization.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

Design and implement security solutions for machine learning models on embedded hardware, focusing on secure execution environments and model protection features.

As a Staff Machine Learning Scientist, you'll design, implement, and test innovative ML solutions, collaborate cross-functionally, and contribute to product strategy at Zendesk.

Seeking a Senior Applied Researcher to drive improvements in data-heavy processes, design projects, mentor peers, and deliver machine learning solutions. Collaboration with management and quality assurance is crucial.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

As an IT intern at P&G, you'll work on projects in areas like supply chain, machine learning, and data analytics. You'll gain hands-on experience while collaborating with multi-functional teams.