Top Machine Learning Jobs in Germany

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.

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.

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.

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.

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.

This internship at Boeing involves research in aviation trends, working in an interdisciplinary lab, and contributing to innovative flight operations ideas.

The internship involves contributing to research in future flight operations, urban air mobility, and machine learning applications in an international team within a lab setting at Boeing in Germany.

Design, build, and productionize machine learning solutions on AWS. Work end-to-end from data exploration, feature engineering, modeling, and evaluation to packaging, deploying, monitoring, and iterating models (including LLM/GenAI workflows). Collaborate with engineers, product partners, and data scientists to deliver reliable, reproducible ML systems and move prototypes into scalable production.

Design and productionize ML systems for advertising using multimodal data (image, video, audio, text, structured). Improve MLOps and data platforms, build scalable data pipelines, monitor models, collaborate cross-functionally, and drive team processes and product impact.

The role involves developing and optimizing perception models for ADAS/AD, ensuring performance on embedded hardware, and translating research into production pipelines.

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

The role involves developing mobile applications for energy visualization, focusing on native Android and cross-platform solutions, with AI features integration.

The Senior Data Product Manager drives product maturity and strategic growth at Seqana by translating user needs into technical requirements, overseeing product lifecycles, and exploring market opportunities.

The role involves leading research in bidding algorithms, optimizing marketplace dynamics, and mentoring a team, requiring a PhD and over 10 years of experience in machine learning and ad tech.

This internship allows students to work on IT projects related to supply chain, data analytics, and digital transformation while gaining valuable industry experience.

As Product Manager for Electronic Warfare, lead product work across capabilities, engaging with users to define requirements and manage the product lifecycle in complex environments.

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

Lead neuroscience R&D for EEG-based BCI: develop signal-processing and classification algorithms, design/execute human-subject experiments, integrate neural data with hardware/software, validate and ensure regulatory and ethical compliance, and mentor junior researchers.

Lead development of AI-powered marketing analytics across EMEA: build predictive models, design Growth KPI dashboards, segment customers, translate data into actionable insights, support marketing teams, and drive data storytelling and visualization for cross-functional stakeholders.

Lead Backend Engineer responsible for building scalable, low-latency APIs and data-driven systems for Search, Recommendations, and Ranking. Design and optimize search/recommendation algorithms (including NLP), manage large data volumes with BigQuery/MPP warehouses, collaborate with data scientists, and drive architecture and feature delivery using Node.js/TypeScript.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

The role involves driving new AI software sales, engaging with executives, and leveraging industry expertise to close large enterprise deals.

Design, build, and operationalize scalable AI/ML applications and data pipelines. Retrieve, parse, and process structured and unstructured data to support model training and deployment. Code in Python or TypeScript, collaborate with cross-functional teams, and maintain enterprise-scale ML systems. Support monitoring, scaling, and operation of AI/ML platforms while working on mission-driven projects requiring a Top Secret clearance.