Staff Research Scientist, ML Efficiency, Google Research
Tasks
- Advance algorithms for generative AI efficiency
- Apply model compression
- Apply reinforcement learning
- Collaborate with hardware teams to optimize kernels
- Collaborate with software teams to optimize inference engines
- Design large language model architectures for efficiency
- Develop sampling techniques
- Implement quantization strategies
- Improve training generalization
- Optimize instruction tuning
- Optimize large scale model optimization
- Optimize latency and memory bandwidth
- Optimize pretraining formulations
- Optimize thinking and reasoning pipelines
- Use knowledge distillation
Perks/Benefits
- N/A
Skills/Tech-stack
Applied Mathematics | Bandwidth Optimization | Computational statistics | Data Mining | Deep learning | Generative AI | Inference Engines | Instruction Tuning | Kernel optimization | Knowledge Distillation | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Memory bandwidth | Memory bandwidth optimization | Model Compression | Model Deployment | Natural Language | Natural Language Processing | Optimization | Pretraining | Quantization | Reinforcement Learning | Sampling techniques | Transformer Architecture
Education
N/A
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