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Internship

NLP Speech Research Intern

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Tencent

29d ago

🚀 Off-cycle Internship

Palo Alto

AI generated summary

  • Seeking master's or doctoral students in CS or AI with expertise in deep learning algorithms, model training, and programming languages. Experience in NMT systems or top-tier conference papers preferred. Must collaborate well with teams and have a passion for the gaming industry.
  • Research and develop machine translation algorithms for gaming, optimize translation systems, analyze and solve language challenges, and stay updated on the latest NLP technologies.

Off-cycle Internship

Research & Development, Software EngineeringPalo Alto

Requirements

  • Pursuing a master's or doctoral degree in Computer Science, Computational Linguistics, Artificial Intelligence, or related fields.
  • Proficiency in deep learning algorithms and have in-depth understanding and practical experience in training large models, such as parameter tuning and fine-tuning.
  • Proficient in programming languages like Python, C++, and familiar with commonly used deep learning frameworks (such as PyTorch, TensorFlow, etc).
  • Experience in developing commercial NMT systems or outstanding performance in WMT machine translation evaluations is preferred.
  • Preference will be given to those who have papers in top-tier conferences such as ACL, EMNLP, NIPS, ICLR, etc.
  • Have strong team collaboration and communication skills, able to work closely with team members and push project progress.
  • Passionate about the gaming industry, with a certain understanding of the gaming field.

Education requirements

Currently Studying
Masters
PhD

Area of Responsibilities

Research & Development
Software Engineering

Responsibilities

  • Responsible for researching and developing machine translation algorithms in the gaming field, including neural network-based translation models, open-source large models, and multi-system integration.
  • Optimize machine translation systems to improve translation quality and efficiency.
  • Analyze and solve common problems and challenges in machine translation, such as ambiguity, polysemy, and language differences.
  • Keep track of and research the latest NLP technologies and algorithms to stay informed about the industry.

Details

Work type

Full time

Work mode

office

Location

Palo Alto