Machine Learning Researcher -LLM Agents & Efficient Deep Learning
Tasks
- Build function call models
- Build multi-agent systems
- Build scalable small language model pipelines for training evaluation and deployment
- Develop efficient training and inference methods
- Integrate reasoning models with tool use frameworks
- Optimize inference performance
- Prototype new ideas with rigorous experimentation
Perks/Benefits
- N/A
Skills/Tech-stack
ADaM | Agent systems | Context modeling | Function Calling | Gradient descent | Inference Optimization | KV cache | Language Model | Large Language Model | Linear Algebra | LoRA | Long Context | Long Context Modeling | Low-Rank Adaptation | Multi-Agent | Multi-Agent Systems | Optimization | Probability | Pruning | PyTorch | Quantization | Small Language Model | Sparsity | Stochastic gradient descent | Tensor decomposition | TensorFlow | Transformer
Education
Regions
Countries
States
Cities
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