Research Intern- Deep Learning
Tasks
- Design and develop foundation models
- Design and implement multimodal multitask perception models
- Develop and apply deep learning reinforcement learning and imitation learning approaches
- Develop and deploy deep learning models
- Develop large language models
- Develop vision-language models
- Focus on 3D object detection and tracking
- Focus on segmentation and semantics understanding
- Focus on traffic control and trajectory prediction
- Focus on video understanding and scene understanding
- Frame real-world problems into ML problems
- Optimize models for runtime constraints
- Run models in real time on cars
- Scale models to data pipelines
Perks/Benefits
Skills/Tech-stack
3D Object Detection | 3D Object Tracking | C++ | CUDA | Computational Geometry | Convex Optimization | Data Preprocessing | Data pipeline | Data pipeline management | Deep learning | GPU | Imitation Learning | Language Models | Large Language Models | Linear Algebra | Machine Learning | Machine Learning Pipelines | Multimodal Learning | Multitask Learning | Object Detection | Object Tracking | Pipeline Management | Python | Real Time | Real-time Systems | Reinforcement Learning | Scene Understanding | Segmentation | TensorRT | Time Systems | Trajectory Prediction | Video Understanding | Vision Language Models | Vision-language
Education
Roles
Engineer | Intern | Learning Engineer | Machine Learning Engineer | Research Intern
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