Research and develop novel visual and spatio-temporal reasoning methods for multimodal Perception
Design and implement post-training recipes—including Supervised Fine-Tuning (SFT) and Reinforcement
Conduct large-scale experiments and ablation studies on autonomous driving benchmarks, with the

🎯 Requirements

Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering or
Hands-on experience & strong publications in perception, and/or LLM/VLM
Knowledge of pre-training and post-training of the large foundation models
Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX

🎁 Benefits

Interns are eligible to participate in the Company’s generous benefits programs, subject to

🛃 Visa sponsorship

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