Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices - REF5666W - Berlin, Berlin
Nur für registrierte Mitglieder Berlin, Berlin, Deutschland
vor 1 Monat
Job summary
We are looking for you starting in February for a period of 6 months to support us in our AI laboratory in Berlin. We will need you mostly on site in Berlin.BUT we also understand that there are days when you'd rather work from home. Therefore together we find a solution that suits us all - remote working hours are therefore possible in consultation with your supervisor.
Responsibilities
- You will actively work on sparsifying pruning and quantizing CNN and transformer-based architectures for autonomous driving
- Design implement and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictions
Stellenbeschreibung
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We are looking for you starting in February for a period of 6 months to support us in our AI laboratory in Berlin. We will need you mostly on site in Berlin. But we also understand that there are days when you'd rather work from home. · ...