Senior Applied Scientist, Large Language Models
Tasks
- Analyze model failure cases
- Analyze results
- Build data preparation pipelines
- Build model evaluation pipelines
- Build model experimentation pipelines
- Collaborate on algorithmic solutions
- Define algorithmic problems
- Deliver production-ready solutions
- Deploy models in production
- Design experiments
- Design model post training approaches
- Develop evaluation methodologies
- Develop large language model capabilities
- Generate synthetic data
- Implement knowledge distillation
- Implement preference optimization
- Implement supervised fine tuning
- Improve model performance
- Optimize models for inference
Perks/Benefits
- N/A
Skills/Tech-stack
Context modeling | Cost Optimization | Distributed Training | Evaluation & benchmarking | Fine Tuning | GPU Optimization | Inference | Information Extraction | Knowledge Distillation | Language Models | Language Processing | Large Language Models | Latency optimization | Long Context | Long Context Modeling | Machine Learning | Model Fine-tuning | Model Training | Natural Language | Natural Language Processing | Preference optimization | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Robustness Testing | Safety evaluation | Supervised Fine Tuning | Supervised Learning | Synthetic data | Transformer
Education
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