Machine Learning Engineer, Audio Perception
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The role
Support new product requests end-to-end, from problem definition to a solution integrated into the onboard driving system.
Streamline the model development and evaluation stack for rapid adaptation to new tasks and data.
Establish and maintain a sustainable model stack to enable scaling across multiple platforms and cities.
Requirements include a Bachelor's degree (or equivalent) and 3+ years of ML experience with deep learning for perception tasks.
Proficiency in at least one deep learning framework (TensorFlow, PyTorch, or JAX) and Python and C++.
Preferred qualifications include a Master’s/PhD, experience in audio modeling, multi-modal systems, on-device deployment and real-time ML, data processing infrastructure, and SQL.
Streamline the model development and evaluation stack for rapid adaptation to new tasks and data.
Establish and maintain a sustainable model stack to enable scaling across multiple platforms and cities.
Requirements include a Bachelor's degree (or equivalent) and 3+ years of ML experience with deep learning for perception tasks.
Proficiency in at least one deep learning framework (TensorFlow, PyTorch, or JAX) and Python and C++.
Preferred qualifications include a Master’s/PhD, experience in audio modeling, multi-modal systems, on-device deployment and real-time ML, data processing infrastructure, and SQL.
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