Related skills
pytorch transformers cuda memory management diffusion models📋 Description
- Collaborate on high-impact AI lab projects.
- Review deep learning problems and PyTorch implementations.
- Assess GPU performance, profiling, and hardware-aware scaling.
- Join an interdisciplinary network of AI researchers.
🎯 Requirements
- PhD or higher in CS, ECE, Applied Math, AI/ML.
- Hands-on PyTorch experience with DL models (Transformers, CNNs, diffusion).
- Familiar with GPU performance, memory management, CUDA, profiling.
- Strong ability to analyze research-level model code and give actionable feedback.
- Able to explain complex ML behaviors and trade-offs clearly.
🎁 Benefits
- Professional development through high-impact review projects.
- Join a top-tier, global network of AI experts.
- Flexible schedule: 10–40 hours per week.
- Competitive pay: up to $80/hr.
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