Senior Software Engineer (Computer Vision/Machine Learning) Remote in Germany English-speaking · Full-Time · Permanent · A fast-growing tech company in the computer vision and machine learning space is looking for a

Lead Software Engineer (Computer Vision/Machine Learning) Remote in Germany English-speaking · Full-Time · Permanent · A fast-growing tech company in the computer vision and machine learning space is looking for a Senior

am Teutoburger Wald suchen wir zum 01.10.2025 zur Verstärkung einen Entwickler Computer Vision (m/w/d) Autonomes Fahren • Sie steuern die Entwicklung und Implementierung fortschrittlicher Perception-Algorithmen und -Systeme

am Teutoburger Wald suchen wir zum 01.10.2025 zur Verstärkung einen Entwickler Computer Vision (m/w/d) Autonomes Fahren • Sie steuern die Entwicklung und Implementierung fortschrittlicher Perception-Algorithmen und -Systeme

Teams als Softwareentwickler (m/w/d) Computer Vision / KISie begeistern sich für Künstliche Intelligenz, Machine Learning und Computer Vision? Sie möchten innovative Lösungen für industrielle Anwendungen entwickeln

Computer Vision Entwickler (m/w/d) - Autonomes Fahren Unternehmen: CLAAS E-Systems GmbH Standort: Dissen am Teutoburger Wald Startdatum: ab 01.10.2025Karrierestatus: Berufserfahrene Funktionsbereich: Forschung

Computer Vision Entwickler (m/w/d) - Autonomes Fahren Unternehmen: CLAAS E-Systems GmbH Standort: Dissen am Teutoburger Wald Startdatum: ab 01.10.2025Karrierestatus: Berufserfahrene Funktionsbereich: Forschung

cinematographers, directors, and VFX artists in their work—real-time, on set, and in post-production. • Develop and optimize algorithms in the field of computer vision with a focus on cinematography applications • Process and

cinematographers, directors, and VFX artists in their work—real-time, on set, and in post-production. • Develop and optimize algorithms in the field of computer vision with a focus on cinematography applications • Process and

cinematographers, directors, and VFX artists in their work—real-time, on set, and in post-production. • Develop and optimize algorithms in the field of computer vision with a focus on cinematography applications • Process and

cinematographers, directors, and VFX artists in their work—real-time, on set, and in post-production. • Develop and optimize algorithms in the field of computer vision with a focus on cinematography applications • Process and

to work with our customers • Fun working in agile, interdisciplinary teams • The following will be considered an advantage: Familiarity with computer vision packages for Python, such as scikit-image; First experience

engineers, you will work on research projects in computer vision and machine learning and visual computing. These projects range from 2D object detection and 3D reconstruction to the application of foundation models. What We Offer

Sind Sie begeistert von Computer Vision, Deep Learning und Embedded IoT ? Werden Sie Teil eines innovativen, internationalen Unternehmens im schönen Schwarzwald und arbeiten Sie an wegweisenden Smart-Factory-Lösungen

automation and computer vision pipelines • Control microscopes and preprocess images for object detection and segmentation • Conduct statistical analyses on the acquired image data • Enhance knowledge in deep learning

automation and computer vision pipelines • Control microscopes and preprocess images for object detection and segmentation • Conduct statistical analyses on the acquired image data • Enhance knowledge in deep learning

analysis, bug fixing, and continuous optimization of existing applications • Working in cross-functional international teams in an agile environment • Completed studies in computer science, media informatics, or a

analysis, bug fixing, and continuous optimization of existing applications • Working in cross-functional international teams in an agile environment • Completed studies in computer science, media informatics, or a

analysis, bug fixing, and continuous optimization of existing applications • Working in cross-functional international teams in an agile environment • Completed studies in computer science, media informatics, or a