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!