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.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience with software development in C++ and Python.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Experience with responsible ML and ML explainability concepts and practices.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Ability to learn and apply concepts in Large Language Model (LLM) training and serving, ML frameworks, and TPU/GPU architecture, Tensorflow, JAX, Keras and Gemax.
Passion for building infrastructure to increase the velocity of ML development.
