Machine Learning Engineer 2, ML App and Frameworks
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The role
Architect scalable ML systems capable of processing petabytes of training data to power Level 4 autonomous driving technology.
Design and implement a unified platform for training and deployment of state-of-the-art ML models.
Develop scalable training pipelines to efficiently process massive datasets for perception systems.
Create deployment solutions that optimize model performance on edge computing devices.
Build infrastructure to support continuous improvement of models through testing, validation, and iteration.
Collaborate with cross-functional teams to integrate ML systems with other vehicle subsystems.
Design and implement a unified platform for training and deployment of state-of-the-art ML models.
Develop scalable training pipelines to efficiently process massive datasets for perception systems.
Create deployment solutions that optimize model performance on edge computing devices.
Build infrastructure to support continuous improvement of models through testing, validation, and iteration.
Collaborate with cross-functional teams to integrate ML systems with other vehicle subsystems.
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