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Staff Software Engineering, YouTube ML Efficiency
Posted 1 weeks ago
Job Description
- Monitor the evolving landscape of recommendation systems, actively prototyping and benchmarking emerging modeling techniques to keep our infrastructure cutting-edge and efficient.
- Enable next-generation model architectures and training procedures.
- Scale experimentation capacity under our resource envelope.
- Reduce complexity and fragmentation in the ML training and serving ecosystem by providing standardized, composable, and reusable solutions.
- Reduce experimenter toil through introduction of automation frameworks for training, evaluation, and model serving.