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Job Description
- Write and test product or system development code.
- Innovate and adapt recommendation algorithms towards new applications and new surfaces.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Experiment with novel signals, labels, architectures, policies and training regimens.
- Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.