Job description

1. Responsible for the optimization of the recommendation utility of TCL TV content business, and improving the product DAU/retention/time and other valuable metrics;
2. Explore various cutting-edge models, formulate appropriate algorithms and strategies for different business scenarios, continuously optimize effects and performance, and enhance user experience;
3. Participate in the construction of the algorithm-driven system of the core business (advertising/search/information flow), build a personalized recommendation system/advertising recommendation engine for the TV scene, and increase the advertising revenue and user activity of the Internet business;
4. Experiments on applying data mining, deep learning, machine learning algorithms into real industrial applications with millions of daily UV;

Job Requirements

1. Master's or PhD in Computer Science, Statistics, and other related majors;
2. Excellent coding ability, solid data structure, and algorithm skills;
3. Solid programming skills, familiar with programming languages such as python and scala.
4. Hands-on industry experience in big data processing filed such as Spark, HIVE, Elasticsearch, Redis etc.
5. Familiar with deep learning frameworks such as Tensorflow and Pytorch, as well as commonly used machine learning algorithms and recommendation algorithms.
6. Minimum 1-2 years working experience in machine learning, and data mining-related fields, and excellent graduates are also welcome.
7. Excellent problem analysis and problem-solving skills, passion for solving challenging problems;
8. Enthusiastic about technology, good communication skills, and team spirit;

Plus:
1. Experienced in the propensity model and causal inference is preferred.
2. Familiar with one or more recommendation algorithms, and practical experience in recommendation systems, search engines, and other related fields are preferred.