Research Intern- Deep Learning
Tasks
- Deploy deep learning models for real time vehicle use
- Design and implement multi modality multi task perception models
- Design deep learning foundation models
- Develop and apply deep learning reinforcement learning imitation learning approaches
- Develop large language models
- Develop vision-language models
- Frame real-world problems into ML problems
- Implement 3D object detection and tracking
- Implement segmentation and semantics understanding
- Implement video and scene understanding
- Optimize model inference for runtime constraints
- Scale models into data pipelines
Perks/Benefits
Skills/Tech-stack
3D Object Detection | C++ | CUDA | Computational Geometry | Computer Vision | Convex Optimization | Data Pipelines | Data Preprocessing | Deep learning | GPU | Imitation Learning | Language Models | Large Language Models | Linear Algebra | Machine Learning | Multi-Modal | Multi-Modal Learning | Multi-task Learning | Object Detection | Object Tracking | Python | Real Time | Real-time Inference | Reinforcement Learning | Scene Understanding | Segmentation | TensorRT | Trajectory Prediction | Video Understanding | Vision Language Models | Vision-language
Education
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