Opportunity Description
**Job Description**
The **Senior ML Validation Research Engineer** will lead applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. This role centers on simulation-based evaluation, uncertainty modeling, scenario coverage automation, and transforming advanced ML research into working prototypes that enhance the efficiency, accuracy, and coverage of ML system validation.
**Key Responsibilities**
+ Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines.
+ Advance ML research for open and and closed loop simulation validation.
+ Develop scenario generation, coverage-guided testing, and rare-event discovery tooling.
+ Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems.
+ Evaluate deep learning modules across perception, prediction, and plannin...
The **Senior ML Validation Research Engineer** will lead applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. This role centers on simulation-based evaluation, uncertainty modeling, scenario coverage automation, and transforming advanced ML research into working prototypes that enhance the efficiency, accuracy, and coverage of ML system validation.
**Key Responsibilities**
+ Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines.
+ Advance ML research for open and and closed loop simulation validation.
+ Develop scenario generation, coverage-guided testing, and rare-event discovery tooling.
+ Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems.
+ Evaluate deep learning modules across perception, prediction, and plannin...
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