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.

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.

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.

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 Lead Systems Engineer, oversee integration of EO/IR sensing systems, manage technical suppliers, define requirements and ensure operational readiness.

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

Develop and improve the planner stack for autonomous vehicles, monitor daily test drives and released software, join test drives, and track performance improvements or regressions in real-world deployments.

Lead development of AI-enabled computational pathology and multimodal biomarkers to support patient selection and drug development. Design and apply image-analysis and AI methods to whole-slide and multiplex tissue data, partner with experimental teams, validate biomarkers analytically and clinically, ensure regulatory and GLP compliance, and communicate results through reports and publications.

Lead AI-driven computational pathology and multimodal biomarker programs for oncology/biopharma. Provide strategic scientific leadership, build and direct cross-functional teams, deliver reusable biomarker platforms, oversee translational studies and validation, support regulatory readiness, and act as an external scientific ambassador to enable patient selection and accelerate drug development.

Lead development and implementation of AI-enabled computational pathology and multimodal biomarkers for oncology. Drive biomarker discovery, integrate tissue/imaging/genomic/clinical data, support analytical validation, regulatory submissions, vendor selection, and cross-functional project leadership to inform patient selection and clinical decision-making.

Lead AI-enabled computational pathology and multimodal biomarker development for oncology programs. Drive biomarker strategy, cross-functional discovery, proof-of-concept studies, data integration (imaging, genomics, proteomics, blood, clinical), validation, and regulatory support, and scale reusable platform capabilities across drug development.

Lead the strategy, roadmap, and delivery of an internal AI-as-a-Platform. Coordinate cross-functional teams to identify and implement AI use cases, ensure AI compliance and governance, support GTM for AI features, and translate business goals into actionable user stories for data scientists and engineers while driving scalable, secure, and ethical AI adoption across the company.

Lead system engineering for an AI-enabled electronic warfare avionics program from requirements through qualification and certification. Ensure requirements traceability, manage risk, oversee software verification to DO-178C/ARP4754B, coordinate with customers and aviation authorities, and prepare certification documentation for maiden flight.

Lead the end-to-end search experience: improve relevance, discovery, ranking, and UX across platforms. Collaborate with data science/ML to define metrics and experiments, prioritize a roadmap, and optimize search infrastructure, autocomplete, filters, and zero-results handling for complex health-related journeys.

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

Develop and improve calibration logic and scalable calibration graphs for QPUs. Design, run, and analyze calibration experiments, implement software tools for automation, and collaborate across teams to support future chip architectures.

Develop, analyze, and implement quantum error-correcting codes and decoding algorithms for fault-tolerant quantum computing. Design fault-tolerant operations (e.g., lattice surgery), implement and optimize decoders in Python/C/C++/Rust (potential FPGA deployment), perform resource estimation and scalability analysis, collaborate with hardware and software teams, and publish research in scientific venues.

Lead enterprise strategic engagements to identify and sell high-value AI use cases and application roadmaps. Build relationships with Global 1000 customers, drive account expansion, collaborate cross-functionally, and support product and partner business development. Role is quota-carrying and involves frequent customer travel.

Develop and improve AI/ML tools, models, and dashboards to optimize European station and fleet strategy. Create quantitative scenarios for expansion, capacity and electrification planning, monitor market trends, and present recommendations to senior management.

Lead development and application of AI-enabled computational pathology and multimodal biomarkers for patient selection and drug development. Design and apply image-analysis and ML approaches, analyze whole-slide and multiplex datasets, develop quantitative metrics, partner with experimental teams, support analytical/clinical validation, ensure GLP and regulatory compliance, and communicate results via reports, publications, and regulatory documentation.

Lead development and implementation of AI-enabled computational pathology and multimodal biomarkers for oncology. Drive biomarker discovery, integrate tissue/imaging/genomic/clinical data, support analytical validation and regulatory submissions, collaborate cross-functionally, evaluate new AI technologies, support vendor/companion diagnostic selection, present findings, and promote reproducible research and training across teams.

Provide strategic scientific leadership for AI-powered computational pathology and multimodal biomarker development in Oncology/BioPharma. Lead cross-functional teams to implement end-to-end biomarker strategies from target validation through clinical implementation, oversee multimodal proof-of-concept studies, establish analytical and clinical validation frameworks for regulatory readiness, build reusable biomarker platforms, and drive external collaborations and adoption to translate AI innovations into clinical and regulatory impact.

Lead AI-enabled computational pathology and multimodal biomarker development for oncology/bioPharma. Drive biomarker strategy, cross-functional collaboration, proof-of-concept studies, multimodal data integration, validation, regulatory support, and scalable platform development to enable patient selection and translational decision-making across drug development.