Senior Applied Deep Learning Research Scientist, Efficiency
Tasks
- Analyze efficiency improvement effects
- Co design neural network architectures
- Co design neural network optimizers
- Collaborate with hardware and software teams
- Develop efficient deep learning algorithms
- Publish algorithms open source or research papers
- Research low bit representations
- Research neural network pruning
- Run large scale deep learning experiments
Perks/Benefits
Skills/Tech-stack
CUDA | Deep learning | Deep learning frameworks | Efficient Architectures | GPU Computing | Inference engine | LLM Training | Large-scale | Large-scale experiments | Learning frameworks | Network Pruning | Network Quantization | Network inference | Network training | Neural Network | Neural network inference | Neural network pruning | Neural network quantization | Neural network training | Numerical Formats | Optimizers | Performance Analysis | Python | Reinforcement Learning
Education
Regions
Countries
States
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