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Job Description
- Develop and maintain our production service, written in C++ and Python, and further the platform vision of incorporating prompt optimization, fine tuning, hyper parameter optimization, and ML best practices into Google product development.
- Develop an understanding of various parts of Google’s ML training and serving stack. Influence and coach a distributed team of engineers.
- Identify opportunities to improve the efficiency of the ML fleet and build solutions and capabilities to improve ML fleet efficiency. Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Design and implement customer requested ML and AI features. From requirements-gathering and design-authoring, through implementation and landing impact in production.