PyTorch Jobs in Germany

In this role, you develop scalable AI automation frameworks and translate complex business challenges into technical solutions, working closely with software engineering teams.

In this role, you develop AI-driven systems for efficient search and ranking solutions, working with machine learning, deep learning, and modern frameworks while overseeing their lifecycle from conception to continuous improvement.

In this job, you develop research software for the image-based localization of mobile sensor platforms using modern technologies like computer vision and machine learning with Python or C++.

In this role, you will develop production-grade AI/ML models, integrate them into systems, and automate processes with CI/CD. You will implement modern ML algorithms in production environments and work on scalable APIs.

In this role, you develop AI solutions to solve real business problems, design scalable AI frameworks, and operate at the intersection of AI engineering and business impact in a dynamic environment.

In this role, you develop AI-driven solutions, transform complex requirements into technical concepts, and oversee the entire lifecycle of scalable applications, including API development and deployment.

In this role, you will develop innovative machine learning methods for analyzing and predicting circuit reliability while collaborating with an interdisciplinary team on fundamental research questions.

In this role, you will develop powerful algorithms for personalized shopping experiences and deploy them into production, driving innovative solutions in a dynamic team environment.

In this role, you analyze customer data, develop and validate machine learning models, and manage data pipelines to implement complex applications and transition them into production-ready services.

In this role, you will develop analytical use cases for R&D, evaluate data, ensure data quality, and create innovative solutions through machine learning in interdisciplinary teams.

In this role, you develop scalable AI solutions for search and ranking, combining classical information retrieval methods with deep learning, and support projects from prototyping to production deployment.

In this role, you will build ML-based software systems, work with diverse datasets, and optimize the MLOps platform to efficiently productionize AI applications.

In this role, you develop machine learning methods to analyze and integrate spatial omics data, aiming to explore molecular heterogeneity in kidney diseases and establish clinical correlations.

In this role, you will develop innovative methods to model light-induced dynamic processes in materials by combining machine learning with TDDFT and molecular dynamics to gain new insights.

In this role, you will develop automated image analysis workflows, implement machine learning methods for data evaluation, and coordinate data management projects within interdisciplinary research teams.