Analyze and characterize internal feature representations of deep multimodal perception foundation
Validate model performance on large-scale autonomous vehicle sensor datasets and simulation
Train, fine-tune, and evaluate deep neural networks to improve model performance.
Inspect perception foundational model to derive signal on data quality.
Implement or augment data pipeline to improve data quality

🎯 Requirements

Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a
Experience programming in Python.
Practical experience training, fine-tuning, and evaluating deep learning models for computer vision
Solid understanding of modern neural architectures (e.g., Vision Transformers, multi modal sensor

🚚 Relocation support

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