Machine Learning Engineer, Sensor Pipelines
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The role
Design and implement multi-modal sensor fusion architectures and spatial-temporal representation learners to advance perception in real-world scenarios.
Develop and deploy ML models, including Generative AI systems, and non-ML components to tackle challenging perception problems.
Build data mining, labeling, training and evaluation pipelines to support onboard development and testing.
Collaborate closely with product, infrastructure and research teams to translate requirements into scalable, production-ready solutions.
Work in a hybrid environment, contributing to cutting-edge research while delivering robust onboard deployments.
Requirements include a bachelor's degree in CS or equivalent, 3+ years in ML/CV, and proficiency with C++, Python, and PyTorch or JAX.
Develop and deploy ML models, including Generative AI systems, and non-ML components to tackle challenging perception problems.
Build data mining, labeling, training and evaluation pipelines to support onboard development and testing.
Collaborate closely with product, infrastructure and research teams to translate requirements into scalable, production-ready solutions.
Work in a hybrid environment, contributing to cutting-edge research while delivering robust onboard deployments.
Requirements include a bachelor's degree in CS or equivalent, 3+ years in ML/CV, and proficiency with C++, Python, and PyTorch or JAX.
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