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pytorch transformers profiling cuda gpu📋 Description
- Fully remote 6-month contractor role; must be authorized to work in Canada.
- Collaborate on high-impact AI projects with partner labs.
- Design and review deep learning problems; analyze PyTorch code.
- Evaluate GPU performance, profiling, and hardware-aware scaling.
- Co-author technical reports with Scale’s research team.
🎯 Requirements
- PhD or higher in CS, AI/ML, or related field.
- Hands-on PyTorch experience; Transformers, CNNs, diffusion models.
- Familiar with GPU performance, CUDA memory management, profiling.
- Able to analyze research code and provide actionable feedback.
- Able to clearly explain complex ML behaviors and trade-offs.
🎁 Benefits
- Professional development through high-impact review projects.
- Join a global network of engineers and researchers.
- Flexible schedule: 10–40 hour weeks.
- Competitive pay: Up to $80/hr.
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