Research Scientist Intern - Risk Control Vertical LLM Foundation and Agent - Global Frontier Te[...]

TikTok; Singapore; Presencial; SGD 27.900 - 39.060; Jornada completa

Descripción de la vacante

TikTok is seeking a PhD Intern for its Risk Control R&D Team in Singapore. This role involves working on cutting-edge risk control technologies that enhance content, transaction, and account security. Candidates should be pursuing a PhD in a related field and possess strong coding skills. Experience in C/C++ or Python is preferred. The internship provides a unique opportunity to contribute to innovative projects and collaborate with industry experts. TikTok's mission is to inspire creativity and bring joy through technology.

Formación

• Currently pursuing PhD in a relevant technical discipline.
• Good coding skills and strong command of data structures and algorithms are essential.
• Publications in well-regarded journals or conferences are a plus.

Responsabilidades

• Work on projects involving risk control intelligence and model optimization.
• Contribute to the development of agent-based autonomous systems.

Conocimientos

Coding skills

Data structures

Algorithms

C/C++ proficiency

Python proficiency

Communication skills

Teamwork skills

Educación

PhD in Software Development, Computer Science, Computer Engineering, Cybersecurity

Descripción del empleo

Internship Overview

We are looking for talented individuals to join us for an internship in 2027. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands‑on learning, enriching community‑building and development events, and collaboration with industry experts.

Team Introduction

The Risk Control R&D Team is dedicated to addressing various challenges posed by malicious activities across products. Their work spans multiple domains of risk governance such as content, transactions, traffic, and accounts. By leveraging technologies such as machine learning, multimodal models, and large models, the team strives to understand user behaviors and content, thereby identifying potential risks and issues. By continuously deepening their understanding of business and user behaviors, the team drives innovation in models and algorithms with an aim to build an industry‑leading risk control algorithm system.

Topic Content

Current leading large models struggle with understanding highly adversarial risky content and identifying AI-generated content (AIGC). At the same time, underground activities online change quickly and need fast responses. To meet this challenge, risk control needs to develop agent‑based autonomous systems that can fight threats more effectively and reduce operational costs. Risk control also faces challenges due to the large amount of data and complex rules involved. It needs better ways to extract cross‑modal long‑context information and follow complex compliance instructions. This topic aims to improve risk control intelligence across all scenarios by optimizing large models from end to end, building smart agent systems, and creating new paradigms.

Topic Challenges

• Insufficient understanding of underground industry variants, AIGC, and other adversarial content by general large models
• Challenges in long‑context comprehension, information extraction, and instruction adherence.
• Integrating fragmented risk control knowledge into agent‑usable skills

Topic Value

• Develop agent‑based approaches that can adapt and fight new risks on their own, cutting operational costs.
• Improve recall of long‑tail and adversarial samples to reduce leakage.

Minimum Qualifications

• Currently pursuing PhD in Software Development, Computer Science, Computer Engineering, Cybersecurity, or a related technical discipline.

Preferred Qualifications

• Priority will be given to candidates with good coding skills and a strong command of data structures and fundamental algorithms; for traditional coding roles, proficiency in C/C++ is required; for intelligent coding roles, proficiency in Python is required.
• Priority will be given to candidates with publications in CCF‑A category journals or conferences such as AAAI, NeurIPS, SIGKDD, SIGIR, etc.
• Strong resilience, excellent communication and teamwork skills; passionate about technology, willing to embrace challenges with the team, and a drive for innovation.

Job Information

TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.