Top Machine Learning Jobs in Munich

The VP of Value Engineering for DACH leads Value Engineers to enhance customer success through AI-driven process improvements, while driving ARR and product adoption.

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

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.

Lead the core biometric recognition technology team, managing the full lifecycle of ML systems focused on iris and face recognition while ensuring privacy and reliability at scale.

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

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

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

Join Cellbyte as an AI Engineer to build AI and data systems, solve complex problems, and turn pharma workflows into AI-native systems.

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

As the Senior Expert/VP for Reinforcement Learning, lead the development of AI testing frameworks and validate RL systems in complex environments.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

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.

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

The Senior Technical Product Manager will shape product strategy for Constructor's platform, ensuring capabilities support scalability and security for learning applications.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

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.

Lead the RegTech Engineering team to design and deliver secure, scalable IAM and regulatory automation systems. Define roadmap, mentor engineers, integrate GRC/CMDB tooling, ensure audit and compliance readiness (DORA, SOC2, ISO 27001), and advance automation and AI-driven solutions.

This is a full-time paid internship for final year bachelor's and master's STEM students to work on technologically challenging projects in fusion energy alongside experienced professionals.

As Product Manager for the AI Platform, you'll define and scale AI capabilities, lead strategy, implement use cases, ensure compliance, and collaborate with cross-functional teams to enhance client experiences and operational efficiency.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

The AI Content Evaluator will review and assess content for alignment with guidelines, ensuring quality and consistency in annotation. Responsibilities include evaluating various content types, applying structured criteria, and adhering to project guidelines.

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

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.