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ZF LIFETEC is one of the world's leading suppliers of passive safety systems. As Simi Automotive, a global innovation leader for motion capture software and complete systems for recording and analyzing human movements, and a subsidiary of ZF LIFETEC, we contribute our experience with camera-based systems to developing solutions for vehicle interior monitoring and occupant safety. We are working on adaptive restraint systems with our colleagues at ZF LIFETEC.
We are seeking a highly skilled and motivated ML Engineer to join our AI team. As an ML Engineer, you will work on projects related to vehicle interior monitoring and production quality monitoring, collaborating with software developers and data engineers to design, train, deploy, and evaluate state-of-the-art ML algorithms for our automotive demonstrators.
Responsibilities
* Train and evaluate deep neural networks for image classification, detection, segmentation, and pose estimation.
* Implement structured and documented code for training, data pipelines, analysis, and performance evaluation.
* Deploy models on embedded/restricted hardware.
* Conduct data sampling and analysis for ML tasks.
* Analyze and document ML model performance.
* Provide feedback for data collection and labeling.
* Assess model performance in real-life vehicle demonstrations.
Minimum Requirements
Required Qualifications
* Master's degree in computer science or similar (please send your detailed diploma).
* Experience in ML projects during student jobs, internships, or thesis.
* Profound knowledge in machine learning, deep learning, and computer vision.
* Strong programming skills in Python and packages like PyTorch, TensorFlow, OpenCV.
* Knowledge of neural network model porting to embedded systems.
Preferred Qualifications
* Research paper implementation and personal GitHub page.
* Knowledge of state-of-the-art neural network architectures.
* Understanding of data distribution and training correlation.
* Experience with synthetic data generation techniques (e.g., diffusion models, VAEs, GANs).
* Experience with model optimization techniques for embedded hardware (e.g., quantization, pruning).
We offer responsibility, flat hierarchies, flexible hours, modern office in Unterschleißheim, and options for remote work. Join our motivated team dedicated to making driving safer!
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