Define and execute an applied research agenda at the frontier of AI, build and optimize ML pipeline, and develop novel architectures that push the boundaries of what's possible.
Requirements
- Deep, hands-on experience with PyTorch or similar deep learning frameworks
- Experience with complex data pipelines and large-scale machine learning systems
- Experience with experimenting with and fine-tuning models using advanced hyperparameter tuning platforms
- Bachelor’s degree in Statistics, Computer Science, Mathematics, Physics, Economics, or a related quantitative field
Benefits
- Competitive Compensation
- Autonomy and Impact
- Cutting-Edge Environment
- Global Expertise
- Flexible Culture
