Job responsibilities:

Carry out research in machine learning/deep learning /computer vision/reinforcement learning/multimodal perception/intelligent information retrieval, to enable AI Transportation and support AIR team in delivering high-quality research outcome.

Qualifications and requirements:

• Candidates should be currently enrolled in a bachelor's/master's/doctor's program at a well-known university, majoring in computer science, electronic engineering, autonomation, transportation, applied mathematics, pattern recognition, artificial intelligence, or other related majors;

• Once hired, interns are expected to work for at least three months, and at least three days per week;

• Candidates should be skilled in one or more mainstream deep learning frameworks (Caffe, TensorFlow, PyTorch, PaddlePaddle), and familiar with their architecture and implementation mechanisms;

• Candidates should have a good understanding of NLP/ML/DL models (e.g. GBDT/MLP/CNN/RNN/LSTM/Transformer), and familiar with reinforcement learning algorithms.

Benefits:

• Collaboration with top scientists on high-impact research topics;

• Work with like-minded colleagues, with access to lectures, forums, and competitions;

• Open and lively working environment, rich group activities, free coffee and snacks;

• Great networking and mentoring from academic/industrial leaders.

Contact Us

Please send your resume toairhr@tsinghua.edu.cn.