AI Research Engineer – Computer Vision, Deep Learning – Munich / Hybrid – €90,000

Findr; München; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A deep-tech company in Munich is seeking a Mid-Senior level professional to work on AI-powered cameras for autonomous inspection in manufacturing. The role involves building real-time object detection models and bridging research with production. Candidates should have a masters or PhD in AI or related field and experience with PyTorch or TensorFlow. This full-time position offers impactful R&D work in the AI field.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

PyTorch

TensorFlow

Classical CV techniques

Real-time optimisation

Edge hardware

Stereo vision

Synthetic data generation

Ausbildung

MSc/PhD in CV, AI, Robotics or related field

Jobbeschreibung

Overview

Helping Germany’s Tech Teams Hire Top-Tier Software & AI Talent

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Science, and Information Technology

Industries

• Software Development, Information Services, and Technology, Information and Media