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NLP Speech Research Intern

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Tencent

Mar 20

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Software Engineering
  • Palo 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.

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.

FAQs

What is the primary focus of the NLP Speech Research Intern position?

The primary focus of the NLP Speech Research Intern position is to engage in research and development activities within the field of Natural Language Processing (NLP) and speech technologies.

What qualifications are typically required for this internship?

Candidates for the NLP Speech Research Intern position usually need to have a background in computer science, linguistics, artificial intelligence, or a related field, along with coursework or experience in NLP and machine learning.

What types of projects might an intern work on in this role?

Interns may work on a variety of projects, such as improving speech recognition algorithms, developing natural language understanding models, and conducting experiments to enhance the performance of existing NLP systems.

Is prior experience in programming necessary for this internship?

Yes, prior experience in programming, particularly in languages such as Python, Java, or C++, is typically required for effective contribution to the team's projects.

Will there be opportunities for mentorship during the internship?

Yes, interns can expect to receive mentorship and guidance from experienced professionals in the field, providing valuable insights and support throughout their internship experience.

What skills should applicants highlight in their resumes?

Applicants should highlight skills such as experience with NLP frameworks, familiarity with speech processing techniques, proficiency in data analysis, and any programming languages relevant to NLP and machine learning.

How long is the internship duration?

The duration of the NLP Speech Research Internship may vary depending on the organization, but it typically ranges from a few months to a full academic semester.

Are interns expected to work on-site, or is remote work an option?

The work arrangement may vary by company; some may allow for remote work, while others may require interns to be on-site for collaboration and access to resources.

What is the application process for this internship?

The application process typically involves submitting a resume and a cover letter, followed by potential interviews and assessments to evaluate technical and analytical skills relevant to the role.

Will this internship provide any opportunities for future employment?

While not guaranteed, successful completion of the internship may lead to opportunities for full-time positions based on performance and organizational needs.

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Technology
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10,001+
Employees
1998
Founded Year

Mission & Purpose

Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.