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