Shaojie Jiang 📈

Shaojie Jiang

Manager AI


I am a Manager of AI at SKIM. I apply cutting-edge AI technologies, such as chatbots, image understanding and generation, to Market Research. In the past, I’ve worked on training LLMs at Huawei, and worked on NLP projects in two other internship projects.

















Manager AI
December 2023 – Present Rotterdam, the Netherlands


  • Apply LLM-powered chatbots to surveys
  • Use LLM technology to analyse (market) data
  • Solve long-existing Market Research tasks in cutting-edge AI technologies’ context
Senior Machine Learning Scientist
July 2022 – August 2023 Amsterdam, the Netherlands

Responsibilities include:

  • Reward model and PPO algorithm development and model training (core of the ChatGPT model)
  • Designer and main contributor of Chair, a research toolkit in Python (70% of commits), which is capable of training SFT, RM, and PPO models through one line of command
  • Lead of ChatEval challenge project at DSTC 11
  • Contact person of the Conversational AI project
  • Contact person of DReaMS Lab work package 3
Research Intern
February 2021 – July 2021 Amsterdam, the Netherlands
This was a remote internship due to COVID-19. During this period, I worked on improving the engagingness of the Replika chatbot. It was a great experience to get my hands on a chatbot system that have real users (as opposed to a common lab environment of my daily research).
Applied Science Intern
July 2020 – September 2020 Amsterdam, the Netherlands
This was a remote internship as my travel to the originally agreed location Berlin was interrupted by COVID-19 pandemic. During this period, I worked on a review summarisation task with the Subjective NLP team (based in Barcelona and Berlin).
PhD student
University of Amsterdam
October 2017 – Present Amsterdam, The Netherlands
Master of Engineering
Northwest A&F University
September 2014 – June 2017 Yangling, China
  • Thesis title: Research on Feature Representation and Optimization Methods in Structured Object Tracking
  • Supervisor: Jifeng Ning
Bachelor of Engineering
Northwest A&F University
September 2010 – June 2014 Yangling, China
  • Thesis title: Implementation of Single Image Haze Removal Using Dark Channel Prior
  • Advisors: Dr. Yaojun Geng and Prof. Jifeng Ning

Recent Posts

Recent Publications

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(2023). Weakly Supervised Turn-level Engagingness Evaluator for Dialogues. Proceedings of the 2023 Conference on Human Information Interaction and Retrieval.

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(2022). A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration. arXiv preprint arXiv:2205.02517.

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(2020). TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation. arXiv preprint arXiv:2003.11963.

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(2019). Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. The World Wide Web Conference.

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(2018). Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI.

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