At a Glance
- Tasks: Drive cutting-edge NLP/ML research and publish findings at top conferences.
- Company: Innovative tech firm in London with a focus on diversity and collaboration.
- Benefits: Hybrid work model, supportive environment, and opportunities for professional growth.
- Other info: Join a diverse team that values innovation and creativity.
- Why this job: Make an impact in the exciting field of NLP while advancing your research career.
- Qualifications: PhD student or recent graduate in NLP/ML with publication experience.
The predicted salary is between 63000 - 77000 £ per year.
- Hybrid - London, England, United Kingdom
- What the Role Entails
- 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.
- Who We Look For
- Currently in a Ph D program in NLP, Machine Learning, or a related area, or have recently submitted the thesis; available at least three days per week (with supervisor and university approval).
- Candidates who have completed a Master’s degree and have received a Ph D offer in a relevant field will also be considered.
- At least one publication in a top‑tier NLP/ML conference or journal (e. g., ACL, NAACL, EMNLP, EACL, Neur IPS, ICLR, ICML).
- Hands‑on experience with Python and deep learning libraries, especially Py Torch, 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.
- Equal Employment Opportunity
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community.
We foster an environment where every employee feels supported and inspired to achieve individual and common goals.
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NLP Research Intern: LLMs, Benchmarks & Publications 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.
StudySmarter Expert Advice🤫
We think this is how you could land NLP Research Intern: LLMs, Benchmarks & Publications
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace NLP Research Intern: LLMs, Benchmarks & Publications
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Tencent will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Tencent
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Tencent.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Tencent that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
