Top Machine Learning Jobs in Munich

The role involves designing, deploying, and scaling innovative AI solutions for customers, enhancing their business processes through the Celonis platform and collaboration with various teams.

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

The AI Transformation & Adoption Manager will drive AI strategy execution, collaborate across teams, and lead projects to foster automation initiatives, ensuring alignment with business goals and compliance.

Design, develop, and deploy infrastructure for AI/ML initiatives. Collaborate with teams to create scalable solutions and maintain data serving capabilities.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

As a Machine Learning Engineer, you will build and optimize AI systems for Dropbox Dash, collaborating across teams to enhance multimedia experiences.

The Application Fraud Specialist will identify and mitigate application fraud risks, develop fraud indicators, and collaborate with teams to enhance fraud detection methods across the organization.

As a Senior Solutions Consultant at Zendesk, you'll drive AI-powered CX solutions, lead technical discovery, architect scalable solutions, and collaborate across teams to enhance customer experiences.

Lead and manage a technical team focusing on applied science, driving development of generative media systems and collaborating with various stakeholders to align strategies and goals.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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

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.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Leading a research team focused on Language AI, managing people and technical direction, and translating research into production impact. Responsibilities include defining strategy, fostering a high-performance culture, and hands-on involvement in model lifecycle.

Manage and scale the AI Platform by defining strategy, implementing use cases, ensuring compliance, and collaborating with cross-functional teams for product development.

The Junior Test Engineer will develop and implement test plans, execute test cases, analyze results, and collaborate with development teams to ensure software functionality and identify defects.

Execute test cases for ADAS systems, analyze results, collaborate with teams for testing, support vehicle tests, and validate development work.

As an Engineering Program Manager, you will lead the Heating System team, driving innovative processes and partnerships to accelerate delivery and create high-performance culture.

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.

Develop and implement advanced generative AI models, collaborate with cross-functional teams, and innovate existing models for improved performance and speed.

Develop and integrate reinforcement learning agents into autonomous aerial systems, ensuring reliability and performance. Collaborate with teams and enhance the software stack while mentoring peers.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

As an ML Application Engineer, you'll analyze engineering data, develop ML solutions, and train customer teams for AI adoption, working closely with engineering clients to enhance product design workflows using advanced technologies.