Senior Applied Research Scientist, Perception
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The role
Own tasks in the perception ML driver, scaling methods and recipes to improve performance and throughput.
Analyze the behavior of ML systems in real-world autonomous driving, identify root causes, and propose short- and long-term solutions.
Monitor production ML systems and develop automatic detection of issues, along with AI-assisted debugging tooling.
Develop and maintain metrics for perception-related issues, including safety-critical and long-tail scenarios.
Collaborate with downstream teams to optimize integration into the autonomous drive stack and work with large-scale driving data and simulation.
Qualifications include a Bachelor's in CS or equivalent with 3+ years in ML and CV; Python, PyTorch or JAX, and preferred MS/PhD and C++ experience.
Analyze the behavior of ML systems in real-world autonomous driving, identify root causes, and propose short- and long-term solutions.
Monitor production ML systems and develop automatic detection of issues, along with AI-assisted debugging tooling.
Develop and maintain metrics for perception-related issues, including safety-critical and long-tail scenarios.
Collaborate with downstream teams to optimize integration into the autonomous drive stack and work with large-scale driving data and simulation.
Qualifications include a Bachelor's in CS or equivalent with 3+ years in ML and CV; Python, PyTorch or JAX, and preferred MS/PhD and C++ experience.
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