Research Scientist, ML Efficiency, Google Research
Tasks
- Advance generative AI algorithms
- Advance large scale optimization
- Advance sampling techniques
- Apply knowledge distillation
- Apply model compression
- Apply quantization
- Improve generative AI model efficiency
- Improve model deployment pipeline
- Improve training generalization
- Innovate large language model architectures
- Optimize kernels and inference engines
- Optimize latency memory bandwidth and workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithm Design | Applied Mathematics | Computational statistics | Data Mining | Deep learning | Generative AI | Generative Modeling | Inference acceleration | Instruction Tuning | Knowledge Distillation | Language Processing | Large Scale Optimization | Large-scale | Machine Learning | Model Compression | Natural Language | Natural Language Processing | Pretraining | Quantization | Reinforcement Learning | Sampling techniques | Scale optimization | Transformer Architecture
Education
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