Senior/Staff Machine Learning Engineer - Perception Offline Driving Intelligence
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The role
Lead development of multimodal large language models to enhance perception and environmental understanding for autonomous urban driving.
Design architectures and training strategies leveraging sensor data and large-scale datasets to enable off-vehicle analysis with low latency in-vehicle decision-making.
Drive end-to-end ML solutions from research to production, building robust data pipelines for preprocessing, training, evaluation, and deployment.
Collaborate with perception, planning, safety, and systems teams to integrate models into the vehicle's decision-making pipeline.
Validate and optimize solutions through real-world driving scenarios to improve safety and reliability of the autonomous system.
Operate in a fast-moving, cross-functional environment, communicating results clearly and iterating rapidly to maximize impact.
Design architectures and training strategies leveraging sensor data and large-scale datasets to enable off-vehicle analysis with low latency in-vehicle decision-making.
Drive end-to-end ML solutions from research to production, building robust data pipelines for preprocessing, training, evaluation, and deployment.
Collaborate with perception, planning, safety, and systems teams to integrate models into the vehicle's decision-making pipeline.
Validate and optimize solutions through real-world driving scenarios to improve safety and reliability of the autonomous system.
Operate in a fast-moving, cross-functional environment, communicating results clearly and iterating rapidly to maximize impact.
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