Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Tasks
- Build AI foundation models from design through training evaluation validation and implementation
- Conduct applied research to advance customer experience
- Deploy fine-tuned large language models
- Develop and improve LLM customization finetuning and RLHF solutions
- Leverage deep learning frameworks and cloud services to analyze data
- Partner with cross-functional teams to deliver AI-powered products
- Translate research complexity into business goals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Data Preparation | Dataset curation | Deep learning | Explainability | Huggingface | Language Models | Language Processing | Large Language Models | Lightning | Machine Learning | Model Deployment | Model Evaluation | Model Training | Model training optimization | Natural Language | Natural Language Processing | PyTorch | Python | RLHF | Reinforcement Learning | Robustness | Self-Supervised Learning | Self-supervised | Supervised Learning | Tokenization | Training Optimization | Transfer Learning | Vector Databases
Education
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