Applied AI Scientist (Ph.D.)
Tasks
- Bridge cloud training with edge deployment
- Collaborate on reasoning systems and planning
- Design and iterate on real-time predictive models
- Evaluate and integrate AI techniques into autonomy stack
- Research-to-deployment cycle management
- Work with R&D teams to resolve technical challenges
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Computer Vision | Deep learning | Distillation | Distributed Training | Efficient Inference | GPU Optimization | Imitation Learning | Language Models | Model Optimization | Motion Prediction | Optimization | Probability | PyTorch | Python | Quantization | Reinforcement Learning | Statistics | Vision Language Models | Vision-language
Education
Roles
AI Scientist | Applied AI | Applied AI Scientist | Scientist
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