Senior Machine Learning Engineer, Sensor Validation
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The role
Develop and implement state-of-the-art sensor validation algorithms to monitor the health of multi-sensor suites.
Build onboard fault detection, isolation, and recovery solutions using cutting-edge ML approaches.
Advance sensor fusion algorithms that scale across heterogeneous sensors and multi-platform systems.
Develop a data flywheel to automatically scale sensor validation and data processing across deployments.
Collaborate closely with hardware and perception teams to integrate novel sensing modalities and perception pipelines.
What you bring: MS in CS/Robotics/Math/Physics or equivalent; 3+ years of ML experience with deep learning for perception; strong C++ and Python, PyTorch/JAX; experience in sensor fusion, calibration, or positioning.
Build onboard fault detection, isolation, and recovery solutions using cutting-edge ML approaches.
Advance sensor fusion algorithms that scale across heterogeneous sensors and multi-platform systems.
Develop a data flywheel to automatically scale sensor validation and data processing across deployments.
Collaborate closely with hardware and perception teams to integrate novel sensing modalities and perception pipelines.
What you bring: MS in CS/Robotics/Math/Physics or equivalent; 3+ years of ML experience with deep learning for perception; strong C++ and Python, PyTorch/JAX; experience in sensor fusion, calibration, or positioning.
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