Researcher

Responsibility

The common responsibilities for this position include conducting research in deep learning, meta-learning, automatic machine learning, reinforcement learning, and Bayesian learning. Exploring natural language processing, speech recognition, speech synthesis, machine translation, dialogue systems, and knowledge graphs is essential. The role involves developing causal structure learning algorithms and theories, optimizing multi-factory joint machining plans, and creating large-scale linear programming solvers. Engaging in machine learning, data mining, and AI technologies for network traffic prediction, intelligent network management, and resource allocation optimization is also required. Additionally, transforming research ideas into enterprise solutions, visualizing deep learning processes, conducting text classification, clustering, and knowledge graph construction, as well as investigating optimal transport theory, nonlinear dynamic systems, optimal control, and graph theories are key responsibilities.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%