Join Xitu

Graduation period: 2027-2028 Recruitment deadline: June 30, 2026

Job Responsibilities:

(1) Experience in face recognition projects

(2) Design and implement core algorithms related to computer vision and machine vision;

(3) Continuously optimize artificial intelligence recognition algorithm models to enhance the accuracy and efficiency of the algorithms;

(4) Track cutting-edge algorithm theories and apply algorithms to business scenarios;

(5) Implement and deliver algorithms according to actual project requirements;

(6) Target tracking, video tracking.

Job Description

1. Primarily engaged in C++ program development on Windows/Linux platforms;

2. Participate in the research and design of the overall technical framework and various platforms;

3. Responsible for Qt graphical development;

4. Be responsible for the porting work of the QT program to the embedded platform.

Job Requirements

1. Major in computer science, electronics, communication engineering or related fields;

2. Proficient in C/C++ language, familiar with cross-compilation and third-party library dependency compilation;

3. Experience in Qt interface development is preferred;

4. Experience in graphics optimization development, such as QSS, is preferred;

5. Prior experience in independently leading project design and development is preferred;

6. Possess team awareness and collaborative spirit;

7. Possess the ability to solve complex problems.

Job Responsibilities

Responsible for the processing of biometric facial data and video data, as well as the research and implementation of visual algorithms;

Responsible for exploring and implementing 3D computer vision algorithms;

Responsible for mathematical modeling, algorithm development, and optimization;

Responsible for the development and debugging of related algorithm engineering;

Cooperate with software development engineers to conduct project debugging;

Documentation related to algorithms;

Output of patent documents.

Job Requirements

Experience in 3D/2D face recognition and iris recognition is preferred;

At least 3 years of experience in biometric technology, with extensive practical experience in computer vision, complex network analysis, time series prediction, anomaly detection, fault root cause localization, and other related fields preferred;

Proficient in C++, Java, and Python, familiar with the Linux development environment and shell, and proficient in mainstream deep learning frameworks such as TensorFlow, Caffe, MXNet, etc. Experience in algorithmic engineering development is preferred;

Familiar with commonly used data structures and algorithms, and proficient in machine learning or deep learning algorithms and models, with extensive practical experience, including but not limited to: LR, XGB, CNN, LSTM, reinforcement learning, graph networks (GNN/GCN/GAT), etc;

Possess strong self-motivation and a results-oriented mindset, possess innovative capabilities, and possess teamwork awareness and skills;

Those who are familiar with cutting-edge algorithms in the industry and have extensive practical implementation experience are preferred;

Papers published in high-level conferences and journals in the field of machine learning and AI are preferred.