Top Machine Learning Jobs in Germany

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

The role involves building and scaling data pipelines, ensuring efficient data flow for ML model training and evaluation, and collaborating on data needs.

Design, build, and scale core infrastructure for machine learning models, manage production systems, and implement best practices in MLOps.

Lead strategic client relationships and drive business growth for FICO by structuring complex deals and providing innovative analytics solutions.

The role involves developing AI solutions for automotive applications, focusing on machine learning techniques for perception, planning, and prediction tasks.

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

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

The intern will focus on architecting systems for reliable task execution in machine learning agents, implementing verification layers, and optimizing performance.

The role involves designing and implementing machine learning capabilities for autonomous vehicles, focusing on perception, prediction, and planning systems. Engineers will work on software development processes from model creation to deployment, leveraging established products.

Lead research in reinforcement learning and model alignment, mentor scientists, and drive innovations from conception to production deployment.

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

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

The Developer Relations role involves building community engagement, creating technical content, managing social media, and collaborating on product development at Prior Labs.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

The job involves researching and developing scalable, efficient ML systems at NVIDIA, requiring a Ph.D. background in related fields and strong programming skills.

The Product Manager for AI Platform will define strategy, implement AI solutions, ensure compliance, and collaborate with cross-functional teams.

Lead the development of robot policies and task planning. Collaborate with cross-functional teams to create real-world robotics solutions, incorporating AI technologies and MLOps practices.

The role involves leading the development of robotic solutions in agriculture, fostering innovation, building teams, and reporting progress to management.

As a Senior Machine Learning Engineer at Veeva Systems, you will build scalable AI tools, develop ML infrastructure, mentor data scientists, and collaborate across teams to enhance data products in the life sciences sector.

The Senior Machine Learning Engineer will architect and deploy recommendation systems, leverage large-scale data, develop machine learning models, and collaborate with engineering teams to optimize solutions and improve key business metrics.

The role involves designing and maintaining data pipelines, optimizing software performance, and collaborating with teams on machine learning projects. The position also includes ownership of cross-team efforts and knowledge sharing across the organization.

As an ML Engineer, you'll deploy models and create tailored AI solutions for clients, ensuring impactful integrations and customer success.

The Senior Machine Learning Engineer will develop AI models for customer support, optimize pipelines, collaborate with cross-functional teams, and ensure high-performance deployment of ML solutions.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

The Senior ML Infrastructure Engineer will own and optimize GPU infrastructure for training tabular foundation models, ensuring high efficiency and collaboration with research teams.