Job Description

What will your job look like

Develop and improve deep learning models for perception tasks such as object detection/tracking, semantic segmentation, etc.
Work with large-scale driving datasets to train and evaluate machine learning models
Optimize models for performance, accuracy, and robustness across diverse driving scenarios
Analyze edge cases and failure modes to continuously improve perception performance
Implement scalable training, validation, and evaluation methodologies

We expect you to

Ph.D. or M.S. in Computer Science, Electronic Engineering, or related fields
Outstanding coding skills and proficient in algorithms with Python, C/C++, etc.
Strong product background and hands on experiences in building product-quality computer vision, deep learning and general AI technologies. Intensive experience with at least one DL framework such as PyTorch or TensorFlow.
Interested in and thoughtful about the diverse AI technology (CNNs, GNNs, transformer and different domains of detection, segmentation, LLM, AGI, etc.)
Highly motivated self-starter/self-learner in full stack of technologies.
Strong oral/written communication in Mandarin and English. And a great team player.