AI Research Engineer – Computer Vision, Deep Learning – Remote – €90,000

Findr; Köln; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading deep-tech company in Köln is seeking a talented researcher to work on innovative AI-powered vision models for autonomous inspection systems. This role involves building real-time object detection models and integrating advanced sensor technologies, making a significant impact in the manufacturing industry.

Qualifikationen

• Strong experience with PyTorch, TensorFlow, or ONNX.
• Knowledge of classical CV techniques and real-time optimisation.

Aufgaben

• Build real-time object detection and segmentation models.
• Contribute to sensor integration, dataset design, and annotation strategies.

Kenntnisse

PyTorch

TensorFlow

ONNX

classical CV techniques

real-time optimisation

Ausbildung

MSc in CV

PhD in AI

PhD in Robotics

Tools

NVIDIA Jetson

Jobbeschreibung

Work on cutting-edge vision models powering the next generation of autonomous inspection systems for the manufacturing industry.

This deep-tech company is building AI-powered cameras and edge systems that detect defects, analyse product quality, and monitor industrial processes — all in real time, using custom computer vision models and edge inference engines.

What they’re doing :

• Merging AI with traditional manufacturing to improve reliability and reduce waste
• Combining 2D / 3D CV, temporal modelling, and edge deployment (NVIDIA Jetson)
• Partnered with several Tier 1 automotive and medical device manufacturers
• Backed by a consortium of EU funding and private investors

What you’ll do :

• Build real-time object detection and segmentation models
• Help bridge research and production with reproducible experiments
• Contribute to sensor integration, dataset design, and annotation strategies

What’s needed :

• MSc / PhD in CV, AI, Robotics or related field
• Strong experience with PyTorch, TensorFlow or ONNX
• Knowledge of classical CV techniques and real-time optimisation
• Bonus : experience with edge hardware, stereo vision, or synthetic data generation

This is R&D work with real impact. If you're looking to go deep into vision challenges beyond just open datasets — this is it.