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NLP Speech Research Intern - Palo Alto

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29d ago

🚀 Off-cycle Internship

Palo Alto

AI generated summary

  • Master's or doctoral degree in Computer Science/Software Engineering, proficiency in Python, NLP text processing, experience with Transformer, Bert, GPT models, familiarity with prompt engineering, large model training, search engine/relevance model development, published papers in top conferences, and preference for long-term interns.
  • The NLP Speech Research Intern at Tencent in Palo Alto will be responsible for participating in game NPC projects, optimizing AI Agent algorithms, training large models, and improving data paths through data enrichment and cleaning for training/testing sets.

Off-cycle Internship

Research & Development, Software EngineeringPalo Alto


  • Pursuing a master's or doctoral degree in Computer Science/Software Engineering or related majors, master's degree or above.
  • Proficient in Python, with a solid programming foundation.
  • Proficient in NLP text processing, data processing, and common NLP model principles and practice (Transformer, Bert, GPT, etc.).
  • Bonus points for experience in prompt engineering and Agents development.
  • Bonus points for experience in large model training projects (including pre-training, SFT, RLHF).
  • Priority will be given to those with experience in search engine/relevance model development.
  • Preference will be given to those who have published papers in top-tier conferences (ACL, EMNLP, NAACL, COLING, AAAI, etc.).
  • Long-term interns are preferred.

Education requirements

Currently Studying

Area of Responsibilities

Research & Development
Software Engineering


  • Participate in the research and development of game NPC projects driven by large models.
  • Participate in the optimization of AI Agents algorithms and basic frameworks.
  • Participate in the training and deployment of basic large models.
  • Participate in improving the data path, complete data enrichment, cleaning, and the construction of training/testing sets.


Work type

Full time

Work mode



Palo Alto