Applied AI Scientist - On Site
Tasks
- Bridge cloud scale training with edge deployment
- Collaborate on reasoning systems for driving planning
- Design implement and iterate real time predictive models
- Evaluate and integrate state of the art techniques into autonomy stack
- Own research to deployment cycle for driving models
- Unblock technical challenges with internal R and D teams
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Computer Vision | Deep learning | Distributed Training | Efficient Inference | Generative AI | Model Compression | Model Distillation | Model Quantization | Motion Prediction | ONNX | Optimization | Probabilistic Modeling | PyTorch | Python | Reinforcement Learning | Speculative decoding | Statistics | Triton
Education
Roles
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