Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Tasks
- Build AI foundation models
- Partner with cross-functional teams to deliver AI-powered products
- Perform AI applied research
- Train evaluate validate and implement AI models
- Translate research complexity into business goals
Perks/Benefits
Skills/Tech-stack
AWS | Artificial Intelligence | Data Curation | Dataset labeling | Deep learning | Explainable AI | Fine Tuning | Hugging Face | Human Feedback | Instruction Tuning | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Evaluation | Model Robustness | Model Training | Model Validation | Natural Language | Natural Language Processing | PyTorch | Reinforcement Learning | Reinforcement Learning from Human Feedback | Self-Supervised Learning | Self-supervised | Supervised Fine Tuning | Supervised Learning | Tokenization | Transfer Learning | Vector Databases
Education
Roles
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