Applied AI Scientist - On Site
Tasks
- Bridge cloud training with edge deployment
- Collaborate with R and D to unblock technical challenges
- Compress and quantize models
- Design real time predictive models
- Develop reasoning systems for planning
- Evaluate and integrate new AI techniques
- Implement Vision-Language Action Models
- Optimize inference for embedded platforms
- Own research to deployment cycle
Perks/Benefits
Skills/Tech-stack
C++ | Computer Vision | Deep learning | Distributed Training | Efficient Inference | Embedded Systems | Generative AI | Knowledge Distillation | Machine Learning | Model Compression | Model Quantization | Motion Prediction | NVIDIA CUDA | ONNX | Optimization | Probability | PyTorch | Python | Reinforcement Learning | Sensor fusion | Simulation Environments | Speculative decoding | Statistics | Triton
Education
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