Top Machine Learning Jobs in Munich

As a Senior Consultant, you will drive digital transformation for customers through process insights, SQL data modeling, and Celonis implementation, ensuring high service levels and identifying inefficiencies.

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.

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

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.

As a Senior Program Manager, lead data-driven projects in analytics and innovation, collaborating with stakeholders and managing cross-functional teams.

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.

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.

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.

The EDA/IP Sales Director is responsible for driving business growth, building customer relationships, and scaling revenue in the semiconductor industry.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

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

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

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

The Head of Data Product will oversee the development of data products, defining strategy, leading cross-functional teams, ensuring quality, and establishing metrics for success.

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

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.

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.

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 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.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

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

The role involves designing and testing AI solutions, managing full research projects, implementing ML applications, and collaborating with cross-functional teams to advance products.