About the job
We are looking for talented individuals to join our team in 2027. As an intern, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to commit to an onboarding during the summer 2027. Please state your availability clearly in your resume.
Responsibilities
Design and develop next-generation large-scale recommendation systems optimized for personalized, engaging, and scalable user experiences.
Leverage state-of-the-art machine learning and deep learning techniques, including large model technologies（LLM and MLLM, etc), to enhance recommendation performance and accuracy.
Collaborate with cross-disciplinary teams, including infrastructure engineers, pmo, and researchers, to create advanced systems that improve recommendation relevance, diversity, and user engagement.
Qualifications
Minimum
Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
Experience in one of more areas of computer vision, natural language processing and machine learning
Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2).
Familiar with deep neural network architectures such as transformer/SSM/CNN/RNN/LSTM etc.
Strong analytical and problem solving skills. Ability to work collaboratively in cross-functional teams.
Preferred
Research experience demonstrated through projects, publications, or open-source contributions.
Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR,