Join Xitu

Job Responsibilities:

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

(2) Continuously optimize the artificial intelligence recognition algorithm model to improve the accuracy and efficiency of the algorithm;

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

(4) Implement algorithm implementation and delivery based on actual project requirements;

(5) Target tracking, video tracking.

Job requirements:

1. Graduate or currently pursuing a graduate degree in computer vision;

2. Priority consideration will be given to those who have experience in facial recognition technology (2D/3D) and palm vein recognition technology;

3. Internship duration is over 6 months.

Job Responsibilities:

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

2. Responsible for exploring and implementing 3D computer vision algorithms;

3. Responsible for mathematical modeling, algorithm development, and optimization;

4. Responsible for the development and debugging of related algorithm engineering;

5. Collaborate with software development engineers for project debugging;

6. Algorithm related documentation;

7. Patent document output.

Job requirements:

1. Having at least 3 years of relevant experience in biometric technology, with extensive practical experience in complex networks, temporal prediction, anomaly detection, fault root cause localization, and other related fields is 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.

Job Responsibilities:

(1) Design and implement algorithms related to computer vision direction;

(2) Continuously optimizing algorithm models to improve the accuracy and efficiency of algorithms;

(3) Complete the implementation, testing, and deployment of visual related algorithms in the project;

(4) Write algorithm related documents, technical solutions, patents, etc;

(5) Proficient in Python and C++programming languages, experience in AI image algorithm projects is preferred.

Job Responsibilities:

1. Responsible for processing facial and video data, as well as researching and implementing visual algorithms;

2. Responsible for exploring and implementing 3D computer vision algorithms;

3. Responsible for mathematical modeling, algorithm development, and optimization;

4. Responsible for the development and debugging of related algorithm engineering;

5. Collaborate with software development engineers for project debugging;

6. Algorithm related documentation;

7. Patent document output.

Job requirements:

1. Candidates with at least 3 years of relevant work experience in machine learning, deep learning, natural language processing, etc., and extensive practical experience in application problems related to complex networks, temporal prediction, anomaly detection, fault root cause localization, etc. are preferred;

2. Proficient in using C++/Java/Python, familiar with Linux development environment and shell, familiar with mainstream deep learning tools 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. Possess strong self drive and result oriented awareness, innovative ability, team collaboration awareness and ability;

5. Familiar with cutting-edge algorithms in the industry and with rich practical implementation experience is preferred;

Priority will be given to publishing high-level papers in conferences and journals in the fields of machine learning and AI.

fringe benefits:

1. Performance at the end of the year can earn up to half a year's salary

2. There may be opportunities for educational advancement

3. Can solve children's problems

Job Responsibilities:

1. Responsible for production follow-up work, including order processing, production progress tracking, etc;

2. Responsible for inputting, verifying, and summarizing data such as production daily reports and material reports;

3. Follow up on the requisition and inventory of production materials, and do a good job in basic coordination;

4. Responsible for daily paperwork, administrative and personnel related work in the production department.

Job requirements:

1. Bachelor's degree or above, with at least 3 years of relevant work experience;

2. Possess basic office software operation skills;

3. Possess good communication and coordination skills, able to smoothly interface with departments such as production and warehousing;

4. Careful and rigorous, sensitive to numbers, able to accurately handle various production data.