Machine Learning Research Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

We are looking for machine learning research scientists to join Tencent. Candidates with both theoretical and applied research background are encouraged to apply. We are interested in a wide range of machine learning, knowledge representation, and reasoning problems. The subject areas include, but are not limited to:

• Reinforcement learning
• Deep learning and adversarial machine learning
• Knowledge representation and (symbolic) reasoning
• Operational research
• Optimisation
• Multiagent systems
• Algorithmic game theory and mechanism design
• Dialogue systems

Responsibilities:

• Conduct cutting-edge research on machine learning, challenge the state of the art, actively participate in the research community, and publish research work in top conference such as ICML, NIPS, AAAI, IJCAI;
• Work with business, engineering and product teams to form an understanding of the emerging technical requirements, and identify/establish/participate in novel research programs to address identified technical challenges;
• Define and drive a technical vision and strategies to integrate novel machine learning algorithms into the existing production systems and business decision making processes.
  Qualifications:
• PhD in machine learning or related field, with research published in to platforms, such as ICML, NIPS, AAAI, IJCAI or their equivalent;
• Solid background in statistical approaches or other latest approaches and methodologies in AI;
• Strong programming skills in at least one object-oriented programming language (Python, C++, Java, Scala, etc.);
• Experience in machine learning algorithm implementation, as well as the ability to make use of open source tools to further develop models;
• Experience with a deep learning framework, such as TensorFlow or PyTorch;
• Ability to develop prototypes by manipulating and analysing complex, high-volume, high-dimensional data from varying sources;
• Eager to learn new algorithms, new application areas and new tools;
• Ability to communicate and collaborate with other researchers and engineers, excellent written and oral communication skill