Applied Researcher II (AI Foundations, LLM Core and Agentic AI)
Tasks
- Build AI foundation models from design to implementation
- Conduct applied research on emerging AI methods
- Leverage deep learning frameworks and cloud platforms
- 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 | Explainability | Fine Tuning | Gradient Checkpointing | Huggingface | Language Model | Large Language Model | Machine Learning | Model Compression | Model Fine-tuning | Model Quantization | Model Robustness | Model sparsification | PyTorch | PyTorch Lightning | Python | RLHF | Self-Supervised Learning | Self-supervised | Supervised Learning | Training Optimization | Training parallelism | Transfer Learning | Vector Database
Education
Roles
Applied Researcher | Research Scientist | Researcher | Scientist
Regions
Countries
States
Cities
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