The common responsibilities for this position include conducting research in deep learning, meta-learning, automatic machine learning, reinforcement learning, and Bayesian learning. Developing and implementing natural language processing systems, including speech recognition, synthesis, machine translation, and dialogue systems. Exploring causal structure learning algorithms and causal theory. Optimizing multi-factory joint machining plans and developing large-scale linear programming solvers. Engaging in machine learning, data mining, and AI theory, with a focus on network traffic prediction and intelligent network management. Transforming research ideas into enterprise solutions. Visualizing deep learning processes and performing text classification, clustering, language translation, and knowledge graph construction. Conducting theoretical research in optimal transport theory, nonlinear dynamic systems, optimal control, graph theories, linear algebra, matrix analysis, signal processing, information theory, communication principles, optimization theory, operations research, and calculus theory.
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.
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.
Types of companies in the sector that have advertised a position
Education level required as indicated
Fields of study of the positions advertised by employers
Employment Mode of the positions advertised by employers
Employment Type of the positions advertised by employers