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The ML Runtime and Deployment Team supports and facilitates the fast deployment and execution of neural nets on specialized hardware used in the car and at scale for simulation in data centers. The team builds the infrastructure for easy model launches and optimizes the performance of the onboard software through system-wide performance tunings, model-level optimization as well as hardware-software co-play on specialized accelerators.
Job Responsibility:
Collaborate closely with the Training, Onboard, and modeling teams to define prototype requirements
Learn and leverage existing Waymo machine learning infrastructure wherever feasible
Requirements:
Currently pursuing a MS or PhD degree in Computer Science, Electrical Engineering, Machine Learning, or related technical fields
Experience coding in C++ and/or Python
Experience in ML frameworks. i.e. JAX, TensorFlow
Nice to have:
Experience with machine learning deployment life cycle including export, serialization, and inference