Top Machine Learning Jobs in Munich

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 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.

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

In this role, you'll engage with senior stakeholders to understand their business challenges, design AI-powered solutions, and guide customers through implementation and adoption, ensuring effective use of new workflows.

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.

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

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

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

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.

Design, build, and productionize multimodal ML and semantic retrieval systems for multimedia search. Collaborate with product, design, and infra teams, run benchmarks, prototype features, and scale inference and retrieval across image, video, and text.

As Lead Systems Engineer, oversee integration of EO/IR sensing systems, manage technical suppliers, define requirements and ensure operational readiness.

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

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 a Partner Solutions Architect, you will build and maintain technical relationships with partners, support solution development, and enable AI practices to drive revenue.

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 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 a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Manage and scale the Alpha engineering team, design innovative processes for efficient delivery, drive collaborations, and enhance Proxima's presence in the UK fusion ecosystem.

Proxima Fusion seeks passionate candidates for unsolicited applications to contribute to innovative clean energy solutions and support the development of fusion technology.

The Sales Specialist will develop a dedicated sales pipeline for DeepL's agentic product portfolio, acting as a product expert to qualify opportunities and educate clients.

Lead research in reinforcement learning and model alignment, mentor scientists, and drive innovations from conception to production deployment.

Design and optimize reinforcement learning algorithms for robotics, integrating with various teams and ensuring control performance and adaptability in real-world applications.