AI Research Engineer
Tasks
- Apply model compression techniques
- Develop advanced quantization algorithms
- Develop efficient generative AI algorithms
- Implement KV caching and batching
- Optimize LLM inference performance
- Optimize models for on device and cloud deployment
- Prototype generative AI systems
- Research long context and speculative decoding
- Use Python and PyTorch for model research and development
Perks/Benefits
- N/A
Skills/Tech-stack
Attention Mechanisms | Deep learning | Generative AI | Hardware-in-the-loop | KV caching | Language Models | Large Language Models | Long Context | Machine Learning | Mixed Precision | Model Compression | PyTorch | Python | Quantization | Speculative decoding | The Loop
Education
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