Responsibilities

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

As an intern of the Data Cycling Centre (DCC) team, you will have the opportunity to have an immersive experience in the fast-growing space of AI and contribute to the development of cutting-edge products.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Successful candidates must be able to commit to at least 3 months long internship period.

Successful candidates must be able to commit to the following internship cycles below:

• Off Cycle / Credit Bearing Internship
• Starting from July 2025 (latest)

We will prioritize candidates who are able to commit to the above internship period. Please state your availability clearly in your resume (Start date, End date).

What will I be doing?

1. Research and practice large model prompt word engineering, and explore the application of large models in content understanding tasks
2. Image classification, text content analysis and multimodal models that support short video content understanding
3. Support the entire process of AI projects, including model data collection, training, evaluation, delivery and iteration

Qualifications

Minimum qualifications

1. Bachelor degree or above; majors in computer science, mathematics, statistics, data science, etc. are preferred
2. Master the principles of machine learning and deep learning algorithms, and have CV/NLP practical experience is preferred
3. Proficient in using Python for data cleaning, building machine learning and deep learning models
4. Strong communication and written skills in English
5. Actively enrolled university students who can commit to the role for at least 3 months and above