Top Machine Learning Jobs in Munich

As a Sales Account Executive at Qualtrics, you will drive commercial growth by selling market research solutions, cultivating relationships, and developing account strategies for new business in diverse industries across the EMEA region.

This role involves driving AI and Data sales strategies, engaging with senior executives, and achieving sales quotas by delivering tailored solutions that transform customer operations.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

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

Work as an intern developing and evaluating LLM/ML approaches for formal verification workflows: analyze data, prototype solutions with R&D, integrate tools, and produce technical documentation and presentations.

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.

Ship AI product features combining engineering and ML; build and improve agent workflows; optimize latency, cost, and reliability; track AI research and turn it into product; build self-improving loops that run experiments and learn from feedback.

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

The role involves developing automation solutions within ERP systems, predictive monitoring, support ticket analysis, and collaborating with business units to unlock automation potential.

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 Applied AI Engineer drives product adoption, manages customer relations, and collaborates on state-of-the-art GenAI applications, ensuring successful deployment across industries.

Build backend services and data infrastructure for a geospatial intelligence platform, focusing on scalable design and data architecture for large datasets.

As a Navigation Engineer, you'll design navigation algorithms, develop simulation frameworks, and collaborate with engineering teams to enhance navigation capabilities in GNSS-denied environments while owning the navigation process end-to-end.

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.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Create and review realistic, locale-specific robotics and natural sciences tasks in the target language, apply scoring rubrics, evaluate AI and human responses for accuracy and regulatory alignment, and produce high-quality gold-standard solutions and feedback.

As a Machine Learning Engineer, you'll integrate intelligent systems into healthcare, build and deploy ML models on clinical datasets, and work with federated learning frameworks.

As an Engagement Manager, you'll ensure customer success in protein R&D by building relationships, tracking metrics, and leading cross-functional teams. You'll manage enterprise accounts and advocate for customers while aligning their needs with Cradle's offerings.

Support sales by conducting technical discovery, delivering customized demos and POCs, designing solutions with customers, responding to RFIs/RFPs, coordinating internal teams, answering security questionnaires, and acting as a trusted advisor on fraud/AML and financial crime prevention.

Lead and scale machine learning engineering teams, develop standards, drive technical strategy, and enhance collaboration across functional teams.

The Account Executive will leverage technical expertise in enterprise SaaS sales to drive revenue growth, build partnerships, and represent Neural Concept's technology in engineering sectors.

The Product Manager for AI Platform will define and operationalize AI capabilities, working with technical teams to enhance client experience and ensure regulatory compliance while managing product development.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.