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Job Description
- Enable next-generation model architectures and training procedures.
- Write and maintain large-scale data processing pipelines in C++.
- Propose and secure buy-in from our clients to build new infrastructure for the evolving training data use-cases.
- Reduce complexity and fragmentation in the ML training infrastructure by providing standardized, composable, and self-service infrastructure solutions.
- Collaborate closely with other infrastructure teams working on recommendations quality, storage, logging and privacy. Debug data quality and infrastructure issues across the stack.