Deep Learning Research Intern — Multimodal BEV Perception

Tasks

• Benchmark model performance using quantitative metrics
• Design and run experiments
• Document experiments results and insights
• Evaluate model performance on autonomous driving datasets
• Follow Quality Management System QMS requirements
• Investigate multimodal fusion architectures
• Prototype multimodal fusion models
• Research BEV perception models
• Translate research results into production components

Perks/Benefits

• 401k plan
• Free lunch
• Unlimited snacks and beverages

Skills/Tech-stack

3D Geometry | BEV Representation | Camera | Computer Vision | Deep learning | Distributed Training | GPU Acceleration | High Performance | High-Performance Computing | JAX | Lidar | Multimodal Sensor Fusion | Performance Computing | PyTorch | Python | Radar | Sensor fusion | TensorFlow