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python pytorch model optimization quantization pruning📋 Description
- Own end-to-end technical direction for model efficiency and optimization.
- Lead research to production deployment for document AI models.
- Define efficient, production-ready models for document AI at scale.
- Set technical direction from research to production deployment.
- Lead and coordinate cross-functional collaborations on model optimization.
🎯 Requirements
- 10+ years ML/AI experience with focus on efficiency and production-ready models.
- Strong Python and PyTorch expertise; experience with large-scale training.
- Expertise in optimization techniques for document understanding; quantization, pruning.
- Experience with distributed training infrastructure, experiment tracking, compute strategy.
- Ability to define training data requirements with Document AI Data team.
- Excellent communication to align engineering, product, and leadership.
🎁 Benefits
- Remote and hybrid working options.
- Flexible hours across most teams.
- Two paid volunteering days per year.
- Paid parental leave in all locations.
- Comprehensive medical, accidental, and life insurance.
- Generous paid time off and wellness programs.
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