Top Machine Learning Jobs in Munich

Deliver operations-focused strategy consulting engagements across procurement, supply chain, manufacturing, and digital operations. Lead workstreams, perform advanced analytics and ML-driven solutions, synthesize recommendations, manage client relationships, and coach junior team members to drive sustainable performance improvements.

Deliver client engagements in operations-focused performance transformation across procurement, supply chain, manufacturing, and digital operations. Lead major workstreams, perform rigorous analysis, synthesize recommendations, coach junior staff, collaborate with clients, and apply advanced analytics and digital solutions to improve operational performance.

Identify, qualify, and nurture enterprise leads for Cohere's AI solutions through outbound outreach, BANT qualification, Salesforce pipeline management, and collaboration with marketing. Run smaller sales cycles independently and stay current on product and industry trends to position solutions effectively.

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 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.

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 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.

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.

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

Lead end-to-end marketing strategy for DACH Public Sector to boost AI perception, generate high-value demand, run account-based programmes, manage events, vendors and agencies, and align campaigns with sales and policy stakeholders.

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

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.

Own full-cycle recruiting for technical roles, partner with hiring managers to define roles, source and close candidates, build scalable systems and pipelines, optimize hiring with data, and support a global, remote people team while acting as a culture ambassador.

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 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 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 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 and maintain a low-level ML model execution runtime in Rust, port and optimize ML models for custom hardware, maximize performance and utilization, and debug/productize models in virtual and physical hardware environments.

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

As an AI/ML Engineer, you will develop and optimize machine learning models for mobile apps, collaborating with cross-functional teams to enhance user experiences.

Build end-to-end AI systems and agents for procurement workflows. Improve search/matching, build evaluations and data pipelines, implement structured outputs and guardrails, and support backend scalability and reliability in a fast-paced startup environment.

The Senior Robotics Perception Engineer will design algorithms for object detection and terrain classification, implement machine learning techniques, and collaborate across teams to enhance the autonomy of ground vehicles in various environments.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

Assess and evaluate AI-generated technical content, craft and answer advanced ML/AI questions, identify errors and hallucinations, rank responses by correctness and clarity, and provide precise feedback to improve model performance.

Work with AAA developers to optimize GPU/system performance for path-traced and neural rendering, develop and tune neural rendering algorithms and AI models, profile and optimize low-level performance, collaborate with architecture and driver teams, and create demos, papers, and presentations for conferences.