Top Machine Learning Jobs in Germany

Perform technical investigations of base station antenna performance and their impact on network coverage, capacity and user experience. Develop and contribute to network/system-level simulation tools, drive antenna and system requirement studies, collaborate with R&D, product managers and cross-functional teams, and support product documentation and technical customer requirements.

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.

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.

Sell Zscaler Zero Trust Branch solutions across DACH, owning regional quota, building account-based strategies, partnering with solution engineers, engaging C-suite and technical stakeholders to close complex deals for SD-WAN, data security, and advanced network products.

Design, implement, and validate state-of-the-art generative and self-supervised machine learning models for molecular and ligand-based drug design. Develop predictive and representation-learning approaches using large-scale proprietary and external biological datasets, collaborate with computational biology and chemistry teams, and translate research into applied drug discovery solutions and scientific publications.

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

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.

Lead development and productionization of TTS and voice-generation systems: train, fine-tune, evaluate models, deploy and optimize for inference, latency, scaling, monitoring, and reliability; translate research into production and define technical direction while collaborating with research, engineering, and product.

Lead legal counsel for an adtech company providing commercial, product, privacy, and regulatory counsel. Negotiate complex agreements, advise on global privacy and IAB standards, support product launches and AI use cases, manage data governance and incident response, oversee corporate compliance and outside counsel, and build scalable legal operations and contract workflows.

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.

Lead and grow multiple small, high-output engineering teams focused on AI-powered vulnerability management. Stay hands-on with architecture and code reviews, drive hiring and career development, ensure technical excellence, and coordinate cross-team priorities to deliver customer and revenue impact.

Develop, validate, and integrate optical and multiphysics simulation tools into a laser Digital Twin. Model laser amplifier architectures, couple optical/thermal/mechanical domains, create reduced-order and surrogate models, validate against experiments, perform UQ and sensitivity analyses, and collaborate with engineers and experimental teams to inform system design and optimization.

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.

Support ~25–30 learners in a virtual ML/data program by answering questions, facilitating breakout rooms, holding office hours, grading submissions, monitoring Slack, reviewing materials, and providing constructive feedback. Provide bilingual (German/English) technical support focused on data annotation, labeling QA, and generative AI concepts. Participate in onboarding, weekly staff meetings, and submit program improvement write-ups.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Lead architecture and governance of target market selling price systems for automotive electronic and acoustics products. Conduct competitive and market price analysis, develop pricing frameworks and scenario models, support sales and programs, drive modularization and cost initiatives, manage vendor partnerships, and lead cross-functional pricing transformations globally.

Work on end-to-end AI use cases including scoping and validation, data engineering and analysis, prototyping, model and prompt optimization, evaluating ML models and LLMs, and supporting rollout, deployment, and monitoring of production AI systems.

Support Flight Dynamics by researching and selecting open-source LLMs, setting up and testing self-hosted models, developing agentic AI for requirement-based software development, and integrating those agents into IDEs for secure, safety-critical software workflows.

Plan, execute and document bioreactor cultivations; develop data models and machine learning approaches for bioprocess development; apply DoE and multivariate analysis; lead and coordinate upstream experimental teams; author development reports and hand over processes to pilot/commercial sites; support deputy upstream lead responsibilities and integrate sustainability-by-design principles.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

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 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.