NLP Research Intern

NLP Research Intern

Full-Time 500 - 1500 £ / month (est.) No working from home possible
Tencent

At a Glance

  • Tasks: Drive innovative NLP/ML research and develop cutting-edge language models.
  • Company: Join LightSpeed Studios, a leading game developer with a global presence.
  • Benefits: Gain hands-on experience, collaborate with experts, and publish your research.
  • Other info: Flexible schedule and opportunities for growth in a dynamic environment.
  • Why this job: Make an impact in the gaming industry while advancing your NLP skills.
  • Qualifications: PhD student in NLP/ML with publication experience and Python skills.

The predicted salary is between 500 - 1500 £ per month.

About LightSpeed Studios: LightSpeed Studios is one of the world’s most innovative and successful game developers. With teams across China, United States, Singapore, Canada, United Kingdom, France, Japan, South Korea, New Zealand, and United Arab Emirates, we are expanding to more countries. Founded in 2008, LightSpeed Studios has created over 50 games across multiple platforms and genres for over 4 billion registered users. It is the co-developer of worldwide hits PUBG MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version).

Responsibilities:

  • Drive and contribute to cutting-edge research projects in NLP/ML.
  • Develop benchmarks and baselines using publicly available datasets.
  • Train large language models (LLMs) on innovative, practical tasks.
  • Publish research findings at leading NLP/ML/AI conferences and in top journals.

Qualifications:

  • Currently in the PhD degree in NLP, Machine Learning, or a related area, or recently submitted the thesis; available at least three days per week (with the supervisor and university approval).
  • At least one publication in a top-tier NLP/ML conference or journal (e.g., ACL, NAACL, EMNLP, EACL, NeurIPS, ICLR, ICML).
  • Hands-on experience with Python and deep learning libraries, especially PyTorch, Hugging Face, and Transformers.
  • Experience in one or more of the following areas: supervised fine-tuning of LLMs, LLM self-learning, LLM efficiency, LLM-based AI agents, or LLM applications in gaming, reasoning, or mathematical tasks.

NLP Research Intern employer: Tencent

Tencent offers a dynamic and innovative work environment where interns can gain hands-on experience in AI development while collaborating with leading experts in the field. With a strong emphasis on employee growth, Tencent provides numerous opportunities for professional development and mentorship, making it an excellent choice for those looking to kickstart their careers in technology and marketing. Located in a vibrant tech hub, the company fosters a culture of creativity and collaboration, ensuring that every team member's contributions are valued and impactful.

Tencent

Contact Details:

Tencent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land NLP Research Intern

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at LightSpeed Studios. Use LinkedIn or attend relevant events to make connections and show your enthusiasm for NLP and gaming.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and deep learning. This will give you an edge and demonstrate your hands-on experience with LLMs.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of NLP and ML. Be ready to discuss your research and how it relates to the gaming industry. We want to see your passion and expertise!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace NLP Research Intern

Natural Language Processing (NLP)
Machine Learning (ML)
Python
Deep Learning Libraries
PyTorch
Hugging Face
Transformers

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the NLP Research Intern role. Highlight your relevant experience, especially any publications or projects related to NLP and ML. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about NLP and how your background makes you a great fit for our team. Don't forget to mention any specific projects or research that excites you about working with us.

Showcase Your Technical Skills:Since this role involves hands-on work with Python and deep learning libraries, make sure to highlight your technical skills clearly. Mention any relevant tools you've used, like PyTorch or Hugging Face, and provide examples of how you've applied them in your work.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Tencent

Know Your NLP Stuff

Make sure you brush up on the latest trends and breakthroughs in NLP and machine learning. Be ready to discuss your research and how it relates to the projects at LightSpeed Studios. They’ll want to see that you’re not just knowledgeable but also passionate about the field.

Show Off Your Projects

Prepare to talk about your previous work, especially any publications or projects related to LLMs. Highlight your hands-on experience with Python and deep learning libraries like PyTorch and Hugging Face. This is your chance to demonstrate your skills and how they can contribute to their innovative projects.

Ask Smart Questions

Come prepared with insightful questions about their current research projects or future directions in NLP at LightSpeed Studios. This shows that you’re genuinely interested in their work and helps you gauge if the company is the right fit for you.

Practice Makes Perfect

Conduct mock interviews with friends or mentors to get comfortable discussing your research and technical skills. Focus on articulating complex ideas clearly and confidently, as communication is key in collaborative environments like game development.