Applied Researcher I (AI Foundations, LLM Core and Agentic AI)
Tasks
- Build AI foundation models across design training evaluation validation and implementation
- Conduct applied research to advance next generation customer experiences
- Leverage deep learning tools and cloud platforms to analyze large scale data
- Partner with cross-functional teams to deliver AI-powered products
- Translate technical work into business goals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Deep learning | Explainability | Gradient Checkpointing | Hugging Face | Language Models | Language Processing | Large Language Models | Lightning | Machine Learning | Model Compression | Model Quantization | Model Training | Model sparsification | Model training optimization | Natural Language | Natural Language Processing | PyTorch | RLHF | Reinforcement Learning | Robustness | Self-Supervised Learning | Self-supervised | Supervised Learning | Training Optimization | Training parallelism | Transfer Learning | Vector Database
Education
Roles
Regions
Countries
States
Cities
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