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!