Vacancies: 1
Post Date: 2026/03/12
1. Complete the processing of biometric facial and video data, as well as the research and implementation of visual algorithms;
2. Explore and implement 3D computer vision algorithms;
3. Complete mathematical modeling and algorithm development and optimization;
4. Complete the engineering development and debugging of relevant algorithms;
5. Collaborate with software development engineers for project debugging;
6. Algorithm related documentation;
1. 3D/2D facial recognition and iris recognition are preferred;
2. Applicants with 1-3 years of prior experience in biometric technology, with extensive practical experience in computer vision, complex networks, temporal prediction, anomaly detection, fault root cause localization, and other related fields are preferred;
2. Proficient in using C++/Java/Python, familiar with Linux development environment and shell, familiar with mainstream deep learning such as TensorFlow/Caffe/MXNet/, experience in algorithm engineering development is preferred;
3. Familiar with commonly used data structures and algorithms, familiar with machine learning or deep learning algorithm models and have rich practical experience, including but not limited to: LR, XGB, CNN, LSTM, reinforcement learning, graph networks (GNN/GCN/GAT), etc;
4. Having a strong sense of self motivation and results orientation, possessing innovation ability, and having a team collaboration awareness and ability;
5. Familiar with cutting-edge algorithms in the industry and with rich practical implementation experience is preferred;
6. Priority is given to publishing high-level papers in conferences and journals in the fields of machine learning and AI.
1. Please send your resume (in PDF format, under 10MB) to the company email xtzg@xitu3d.com and indicate your name and the position you are applying for in the subject line of the email;
2. Please indicate the names, scales, and your responsibilities of the projects you have participated in your resume, and specify the position you are applying for and your expected salary in the email body;
3. Recruitment hotline:400-992-0218
Note: Applicants with excellent work abilities will receive a reply within one week.
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