Applied Researcher I (AI Foundations, LLM Core and Agentic AI)
Tasks
- Build AI foundation models through design training evaluation and implementation
- Conduct applied research to advance customer experiences
- Leverage PyTorch AWS and Hugging Face to analyze data
- Partner cross functional teams to deliver AI powered products
- Translate research complexity into business goals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Compiler design | Deep learning | Dialogue Fine Tuning | Explainable AI | Fine Tuning | Gradient Checkpointing | Hugging Face | Human Feedback | Instruction Tuning | Language Processing | Lightning | Machine Learning | Model Compression | Model Evaluation | Model Robustness | Model Validation | Model sparsification | Natural Language | Natural Language Processing | PyTorch | Quantization | Reinforcement Learning | Reinforcement Learning with Human Feedback | Self-Supervised Learning | Self-supervised | Supervised Fine Tuning | Supervised Learning | Training Optimization | Training parallelism | Transfer Learning | Vector Databases
Education
Regions
Countries
States
Cities
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