Machine Learning Engineer, Sensor Pipelines
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The role
Apply sensor fusion and machine learning to build multi-modal sensor fusion architectures and spatial-temporal representation learners for real-world perception tasks.
Develop and deploy machine learning models, including Generative AI systems, and non-ML components to solve challenging problems.
Develop data mining, labeling, training and evaluation pipelines to support onboard development.
Collaborate with product, infra and research teams across the organization to align requirements and deliver impactful solutions.
Operate in a hybrid work environment with a focus on scalable, production-ready deployments on autonomous systems.
Qualifications: Bachelor's in CS or equivalent with 3+ years in ML/Computer Vision; strong C++ and Python skills; experience with PyTorch or JAX; MS/PhD and publications are a plus.
Develop and deploy machine learning models, including Generative AI systems, and non-ML components to solve challenging problems.
Develop data mining, labeling, training and evaluation pipelines to support onboard development.
Collaborate with product, infra and research teams across the organization to align requirements and deliver impactful solutions.
Operate in a hybrid work environment with a focus on scalable, production-ready deployments on autonomous systems.
Qualifications: Bachelor's in CS or equivalent with 3+ years in ML/Computer Vision; strong C++ and Python skills; experience with PyTorch or JAX; MS/PhD and publications are a plus.
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