Research Scientist, ML Efficiency, Google Research
Tasks
- Advance algorithms for generative AI inference efficiency
- Collaborate with hardware and software teams to optimize kernels and inference engines
- Develop model compression knowledge distillation and quantization
- Improve end to end model deployment pipeline for training and tuning
- Innovate large language model architectures for computation efficiency
- Optimize latency memory bandwidth and workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Computation Efficiency | Deep learning | Generative AI | Inference acceleration | Instruction Tuning | Knowledge Distillation | Language Models | Language Processing | Large Language Models | Large Scale Optimization | Large-scale | Machine Learning | Model Compression | Natural Language | Natural Language Processing | Quantization | Reinforcement Learning | Sampling techniques | Scale optimization | Transformer Architecture
Education
Roles
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