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

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people's lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

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.

Qualifications

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).