WeChat - Data Scientist (Machine Learning) Intern - Summer

About Tencent

Tencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is Value for Users, Tech for Good. We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.

We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.

About WeChat

With over 1.2 billion users worldwide, WeChat is changing the mobile landscape by connecting people, services, and businesses in China and around-the world. The WeChat team in Singapore is responsible for managing and growing our core product including messaging and social networking for users around the world.

Join the WeChat team and play an impactful role in keeping people around the world connected, help redefine how people use their mobile devices to communicate and interact online and to better understand user behaviour and preferences of users worldwide.

Position Overview:

We are seeking a motivated Machine Learning Intern to join our team and contribute to cutting-edge security and user experience initiatives at WeChat. You will work on three high-priority projects involving graph neural networks, time-series anomaly detection, and large language model fine-tuning. This is an excellent opportunity to gain hands-on experience with real-world ML applications at scale while working with experienced engineers and researchers.

Responsibilities

• As a Machine Learning Intern, you will contribute to our team's efforts in exploring and implementing advanced ML solutions for WeChat's security and content moderation systems.
• Focus on GNN applications for malicious account detection and community discovery, where you'll help design graph structures, test diffusion strategies, and validate models in production scenarios.
• Optimizing time-series anomaly detection models to identify suspicious patterns in registration and login behaviors across different security contexts.
• Participate in fine-tuning large language models for customer complaint and report classification, ensuring our systems stay current with evolving definitions and categories through data preparation, model experimentation, and performance evaluation.

Requirements

• Minimum 2 years of work experience equipped with a Bachelor degree in Computer Science, Data Science, Mathematics, Economics, Statistics or related fields with strong Python programming skills and experience with deep learning frameworks like PyTorch or TensorFlow
• You should have foundational knowledge of graph neural networks, time-series analysis, and natural language processing, along with familiarity with model training, evaluation, and optimization techniques
• Experience with clustering algorithms, similarity metrics, and statistical analysis would be valuable. Strong analytical and problem-solving abilities are essential, as is the ability to work independently while collaborating effectively with the team.
• Any prior experience with LLM fine-tuning, LoRA, or security-related ML applications would be considered a plus.
• Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences
• Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ