Machine Learning Engineer - Perception Offline Driving Intelligence
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El puesto
As a member of the perception team for Offline Driving Intelligence, you will build multimodal models to improve environmental understanding for offline driving tasks.
You will develop and fine-tune large language models for off-vehicle analysis to identify hazards and interpret driving restrictions with minimal latency.
Create large, high-quality datasets from sensor streams and scale ML pipelines from research to production.
Collaborate with perception, planning, safety, and systems teams to integrate models into the vehicle's decision-making pipeline.
Validate solutions using real-world driving scenarios to directly contribute to safety and reliability.
Lead end-to-end ML projects from research through deployment, continuously optimizing models for efficiency and robustness.
You will develop and fine-tune large language models for off-vehicle analysis to identify hazards and interpret driving restrictions with minimal latency.
Create large, high-quality datasets from sensor streams and scale ML pipelines from research to production.
Collaborate with perception, planning, safety, and systems teams to integrate models into the vehicle's decision-making pipeline.
Validate solutions using real-world driving scenarios to directly contribute to safety and reliability.
Lead end-to-end ML projects from research through deployment, continuously optimizing models for efficiency and robustness.
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