Deep Learning Engineer – AI Safety (f/m/div.)

Your contribution to something big: We are looking for a " Deep Learning Engineer” with knowledge on AI safety topics to: Create, optimize and deploy new and innovative Deep Learning architectures based on RGB, LiDAR, Radar (2D and 3D point cloud), and fusion systems; Define and develop innovative safety of AI methods and measures, applicable to sensor fusion architectures for Perception in autonomous driving; Enthusiastic about AI reliability and/or long-tail learning approaches: Uncertainty Quantification, Model Calibration, Open Set Recognition, Open Set Object Detection, Anomaly/Novelty Detection; Join the Research and Innovation team to improve and optimize new solutions; Interact with other teams to ensure a connected and sound architectural solution; Interact with stakeholders to ensure technical understanding and alignment. What distinguishes you: MSc or Ph.D. in Computer Science, Machine Learning, Mathematics or related AI field; At least 3-5 years of relevant experience in developing, training and evaluating AI methods; Strong programming skills in Python; Strong background in Digital Signal Processing, Computer Vision, Deep Learning; Strong mathematical background (in particular statistics); Experience with perception focused tasks, such as 3D Object Detection, Semantic Segmentation and Freespace Detection; Familiarity with transformer-based architectures related to perception methods; Experience with deep learning frameworks (e.g. TensorFlow/PyTorch); Solid technical mindset, teamwork and communication skills; Basic understanding of the interplay of hardware, software and algorithm architectures and applications. Preferred Qualifications and Expertise: Familiarity with Anomaly Detection, Uncertainty Quantification, AI safety measures; Familiarity with knowledge distillation approaches and Foundation models; Familiarity with Ensemble based training methods; Experience with technical leading and mentoring others. Cherry on top (plus): Experience with AI model deployment; Experience with OpenMMLab framework; Familiarity with tracking algorithms; Familiarity with ISOs 8800 (road safety), 26262 (Road vehicles – Functional safety) and 21448 (SOTIF). Work #LikeABosch includes: ⚖️ Flexible work conditions 🔀 Hybrid work system 🌐 Exchange with colleagues around the world 🛡️ Health insurance 🧑‍⚕️ Medical office (psychology and general clinic) & Social Services Office on site 📚 Training opportunities (p.e., technical training, foreign languages training) & certifications 📈 Opportunities for career progression and continuous professional development 💲 Access to great discounts in partnerships and Bosch products 🏋️ Sports and health related activities 🚉 Great access to public transports 🚌 Free transport from Porto 💰 Flexible benefits platform 🅿️ Free parking lot 🍽️ Canteen Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application!