1, proficient in C/C++ and python programming, familiar with linux development environment, with solid data structure and algorithm design foundation;

2. Familiar with the commonly used theories and algorithms of recommendation business, and have more than three years of practical work experience in many fields (such as ranking model, recall model, user portrait, deep learning, etc.). );

3. Excellent logical thinking ability and data analysis ability, good at analyzing and solving problems; Good communication skills and teamwork skills;

4. Experience in developing recommendation systems, advertising systems and search engines; Familiar with the basic theories and methods of machine learning and deep learning, and experience in practical application of natural language processing tasks is preferred;

5. Skillfully use one or several deep learning frameworks (such as tensorflow, caffe, mxnet, pytorch, etc.). ), or familiar with spark and hadoop distributed computing programmers is preferred.

Hard skills:

1. Mathematics: including probability theory and mathematical statistics, matrix theory and stochastic processes.

2. Computer foundation: including operating system, composition principle and data structure.

3. Arithmetic ability: including comparing the advantages and disadvantages of mainstream models on the spot and choosing the appropriate scheme in the set scene.

If you want to know more about algorithm engineer, you can consult CDA certification body. CDA is a professional abbreviation for data analysis professionals facing the whole industry in the era of big data and artificial intelligence. Global CDA licensees adhere to the new concept of advanced business data analysis, follow the new norms of CDA professional ethics and code of conduct, give full play to their own data professional ability, promote scientific and technological innovation and progress, and help the sustained economic development.