Machine Learning Engineer - Perception Offline Driving Intelligence
仕事内容
Develop multimodal large language models to enhance environment understanding for autonomous driving perception.
Implement model architectures and training techniques optimized for offline and real-time inference.
Build large, high-quality datasets from sensor streams and large-scale data.
Drive end-to-end ML solutions from research to production using our data pipelines and infrastructure.
Collaborate with perception, planning, safety, and systems teams to integrate models into the vehicle's decision-making pipeline.
Validate and optimize your solutions with real-world driving scenarios, directly improving safety and reliability.
Implement model architectures and training techniques optimized for offline and real-time inference.
Build large, high-quality datasets from sensor streams and large-scale data.
Drive end-to-end ML solutions from research to production using our data pipelines and infrastructure.
Collaborate with perception, planning, safety, and systems teams to integrate models into the vehicle's decision-making pipeline.
Validate and optimize your solutions with real-world driving scenarios, directly improving safety and reliability.
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? Ingénieurs en intelligence artificielle – Lyon ? Professeur d'Intelligence Artificielle – Strasbourg ? Machine Learning Intern Fall 2026 (Toronto) ? Machine Learning Engineer, Behavior Internship ? Machine Learning Engineer (L3) ? Senior C++ Programmer - Machine Learning Content Creation Technology Group