Top Machine Learning Jobs in Germany

Develop and maintain a TypeScript/JavaScript fullstack IoT platform dashboard (React, Koa/Express), collaborate on microservices, write high-quality code and tests, and contribute to product and architecture decisions in an agile team.

Support engineering team on machine learning projects: data processing, maintenance, reporting, troubleshooting. Analyze and optimize processes, suggest improvements, and learn industrial practices in a startup environment.

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

Own positioning, messaging, and go-to-market for SaaS and DaaS products. Lead product launches, translate market and customer insights into commercial strategies, support sales enablement, influence product strategy, and collaborate cross-functionally across international teams to drive adoption and revenue.

Lead strategic and technical product initiatives across adjoe’s high-scale adtech platform. Define vision, translate business goals into technical roadmaps, coordinate cross-functional teams, make executive trade-offs, measure outcomes with KPIs, and mentor team members. Ensure product decisions align with system design, scalability, and revenue impact while collaborating with Data Science, Data Engineering, and Analytics.

Develop, design, test and implement imaging and 3D reconstruction algorithms using C++ and Python. Analyze real data, optimize for high-performance computing, integrate algorithms into applications, and collaborate across algorithms, physics, and electronics teams while participating in design and code reviews.

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 ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

Lead vision, roadmap, and performance for Search and Cache products. Oversee product owners, align roadmap with strategy, define KPIs, collaborate with ML/Data teams, co-lead R&D and A/B testing, manage direct reports, and drive stakeholder relationships and product delivery.

Lead product strategy and roadmap for query interpretation and search quality. Own models, tools, and metrics to optimize recall and precision. Collaborate with ML, infra, and product teams, triage quality issues, benchmark competitors, and build evaluation frameworks and explainability for search results.

Lead the Recommendations engineering team to build scalable, reliable recommendation-as-a-service products. Own recommendation quality and business impact, set technical direction, translate product goals into engineering plans, ensure SLAs, hire and coach engineers, and drive system reliability and scalability.

Design and implement motion planning and control modules for autonomous vehicles, characterize vehicle dynamics to close sim-to-real gaps, and develop optimal-control solutions (e.g., nonlinear MPC, MPPI). Test controls on production vehicles and write high-performance C++ code while evaluating academic research and deploying solutions across vehicle platforms.

Develop and implement ML-first perception, prediction, or planning capabilities for autonomous vehicles. Build end-to-end deep learning models, production software, and integrate ML workflows with Applied Intuition products. Collaborate on evaluation, deployment, and model optimization for real-world autonomy systems.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Lead threat intelligence research and presales enablement by creating labs, demos, CTFs, and technical workshops. Perform malware analysis, threat hunting, adversarial AI research, and develop FortiGuard-based mitigation content. Present to technical and executive audiences, support sales, mentor SEs, produce thought leadership, and travel to customer engagements and executive briefings.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Lead distributed European engineering teams to build a Field-to-Cloud ecosystem. Drive cloud architecture, AI-native engineering practices, platform delivery, roadmaps, governance, and process excellence while mentoring teams and coordinating with global stakeholders.

Lead and grow a consulting practice delivering software engineering and AI/ML projects: manage client engagements end-to-end, identify high-value use cases, drive sales and marketing, recruit and mentor a professional services team, and shape company strategy and brand with a path to equity and executive leadership.

Work directly with founders to define and execute a SaaS strategy for getML: product roadmap, IP/open-source strategy, financial modeling, growth paths (organic or VC), partnerships, fundraising, and operational planning toward a leadership role.

The Director of Business Development at Moloco will drive revenue growth, close partnerships, and support expansion across EMEA while focusing on AI-powered advertising solutions.

Design, implement, and test automation and robotic systems for machine vision and industrial applications. Develop embedded product designs and manufacturing processes, collaborate with R&D team, analyze test data, and maintain inspection and maintenance plans.

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.

The Vice President, Product will define and scale the product vision for an AI-driven trade platform, overseeing product strategy and leading teams across multiple functions to enhance automation and address customer needs effectively.

As a Senior/Staff Product Manager, you will drive the strategy and execution for the marketplace, enhancing partner experiences and collaborating with cross-functional teams to optimize product offerings.

Lead the regional model framework for transaction monitoring, overseeing model development and implementation while collaborating with various teams to ensure compliance and efficiency in identifying suspicious activities.