Machine Learning Intern, Autolabeling
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The role
This internship focuses on integrating state-of-the-art ML components into an autolabeling pipeline to improve efficiency and accuracy.
You will prepare and manage datasets to support data-driven model development and validation.
Collaborate daily with a Senior ML Engineer, receiving mentorship and handling project tasks.
Gain hands-on experience with production-level data and real-world applications in a professional setting.
Summarize key findings in a comprehensive final report with actionable recommendations.
Ideal candidates are pursuing a Masters or PhD in CS/CE/Data Science with proven ML work on image, video, 3D or 4D data using Python and PyTorch, and a passion for autonomous driving.
You will prepare and manage datasets to support data-driven model development and validation.
Collaborate daily with a Senior ML Engineer, receiving mentorship and handling project tasks.
Gain hands-on experience with production-level data and real-world applications in a professional setting.
Summarize key findings in a comprehensive final report with actionable recommendations.
Ideal candidates are pursuing a Masters or PhD in CS/CE/Data Science with proven ML work on image, video, 3D or 4D data using Python and PyTorch, and a passion for autonomous driving.
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