About this role
Support the design and implementation of end-to-end perception-to-planning models for autonomous driving. Analyze multi-modal sensor data and conduct experiments to benchmark model performance and robustness.
Candidates must be pursuing a Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field. Proficiency in Python/C++ and experience with deep learning frameworks and sensor data are required.
What they're looking for
PythonC++Computer VisionMachine LearningPyTorchTensorFlowMulti-modal Sensor DataDeep Learning
Frequently asked questions
What does a Machine Learning Intern, Perception (End-to-end) at Motional do?
Support the design and implementation of end-to-end perception-to-planning models for autonomous driving. Analyze multi-modal sensor data and conduct experiments to benchmark model performance and robustness. Candidates must be pursuing a Master's or PhD in Computer Science, Machine Learning, Roboti…
What skills does this Machine Learning Intern, Perception (End-to-end) role need?
Key skills for this role include Python, C++, Computer Vision, Machine Learning, PyTorch, TensorFlow.
How much does a Machine Learning Intern, Perception (End-to-end) at Motional pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Intern, Perception (End-to-end) role remote, hybrid, or on-site?
This role is hybrid, based in Singapore.
How do I apply for this Machine Learning Intern, Perception (End-to-end) role?
You can apply directly on Motional's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.