Algorithm Engineer
1. Proficient in commonly used data structures, AI algorithms, and design patterns.
2. Skilled in quantitative training, machine learning, user profiling, and user behavior feature profiling.
3. Proficient in commonly used machine learning and AI algorithm frameworks, capable of efficiently building, training, and optimizing models.
4. Familiar with neural network model compiler optimization.
5. Deep understanding of model structures such as CNN, RNN, and Transformer, with mastery of the advantages and disadvantages of different algorithms and their applicable scenarios.
Trainer/Educator
1. Familiar with the gameplay of Metale, actively answering questions from members in DC, WeChat groups, and Telegram groups;
2. Engage the group atmosphere and encourage more members to participate in Metale;
3. Outgoing personality with ample online availability.
Test Engineer (Remote Work)