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 **** (road safety) ***** (Road vehicles Functional safety) and ***** (SOTIF).
Additional Information :
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 dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Full-time