Machine Learning Research Engineer | Machine Learning Research Engineer (m/w/d)
thyssenkrupp Services GmbH
Job Summary
This role involves developing next-generation AI systems for real-time applications on edge platforms, focusing on reliability, efficiency, and robustness in challenging environments. The successful candidate will design and implement applied AI models for perception, classification, and situational understanding using multimodal data. A key aspect is building scalable, low-latency inference pipelines for hybrid environments and conceptualizing AI-driven decision support systems. Collaboration with software, platform, and integration teams is crucial for deploying solutions on real hardware. This position is ideal for those who want to take full ownership of developing high-performance, AI-powered decision systems beyond just model prototyping, with a strong emphasis on robustness, explainability, and security.
Required Skills
Education
Master's or PhD degree in Computer Science or a closely related field (e.g., Machine Learning, Signal Processing) with excellent grades
Experience
- Practical experience in sensor data classification, signal processing, or computer vision
- Experience in building latency-sensitive ML pipelines, model compression, or optimization (desirable)
- In-depth knowledge of decision support systems and/or reinforcement learning (desirable)
- Background knowledge in AI robustness and interpretability (desirable)
Languages
Additional
- Not specified