ML Research Engineer
1 week ago
We need a hands-on ML engineer to implement cutting-edge research in uncertainty quantification and build our open-source confidence calibration toolkit. You'll turn papers into production code that thousands of developers will use.
Required Skills
- Strong PyTorch experience (2+ years hands-on)
- Paper implementation experience - you've implemented at least 3 research papers
- Python expertise - clean, efficient, documented code
- GPU optimization - experience with CUDA, mixed precision training
- Git proficiency - comfortable with collaborative development
Primary Responsibilities
- Implement research papers in PyTorch (focus on confidence calibration methods)
- Develop and maintain our confidence-kit open-source library
- Run large-scale experiments on model calibration
- Optimize inference performance for production use
- Debug and fix issues in neural network implementations
What We Offer
- Paper co-authorship - build your research profile
- GitHub fame - your code used by thousands globally
- Flexible hours - no micromanagement
- Learning budget - ₹1,500/month or R$100/month
- Milestone bonuses - up to 20% monthly bonus
- Conference attendance - virtual passes to NeurIPS, ICML, ICLR
- Equipment (additional) support after 3 months
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