Research Intern - Deep Learning
Fremont, California, United States
USD 84K-120K Entry-level Internship
Tasks
- Build vision language models and large language models
- Design foundation models for self driving vehicles
- Design multi modality multi task perception models
- Develop and apply deep learning reinforcement learning and imitation learning
- Develop and deploy deep learning models
- 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 | C plus plus | CUDA | Computational Geometry | Computer Vision | Convex Optimization | Data Preprocessing | Data pipeline | Deep learning | GPU Computing | Imitation Learning | Language Models | Language Processing | Large Language Models | Linear Algebra | Machine Learning | Multi-Modal | Multi-Modal Learning | Multi-task Learning | Natural Language | Natural Language Processing | Object Detection | Object Tracking | PyTorch | Python | Reinforcement Learning | Segmentation | TensorFlow | TensorRT | Vision Language Models | Vision-language
Education
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