Research Scientist - Risk Control Vertical LLM Foundation and Agent - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance in Singapore is seeking graduates with a PhD to join our Risk Control R&D team. You will work on developing agent-based risk-control models, leveraging large models, multimodal data, and advanced ML techniques to identify risky content and improve defenses.

You will collaborate across product domains, tackle challenges in long-context information processing, and help translate research insights into scalable algorithms.

Qualifications

• PhD in Computer Science, Cybersecurity, or related technical field required.
• Strong coding skills in Python; familiarity with ML frameworks.
• Publications in high-impact AI/CS venues preferred.
• Excellent teamwork and communication abilities.

Responsibilities

• Develop agent-based risk-control models using large models and multimodal data.
• Research, design, and evaluate algorithms to detect and mitigate adversarial content.
• Collaborate across product and security teams to translate research into scalable solutions.

Skills

Python

Data structures & algorithms

Publications in AI conferences

Communication

Education

PhD in Computer Science/Cybersecurity/related

Tools

PyTorch

TensorFlow

Job description

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

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:

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

Topic Value:

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

Qualifications

Minimum qualification(s):

1. Individuals who are completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, Cybersecurity, or a related technical discipline.

Preferred qualification(s):

1. Excellent coding skills and a solid foundation in data structures and algorithms; proficiency in Python is required, and familiarity with PyTorch or TensorFlow (TF) is preferred.
2. Outstanding ability to define, analyze, and solve problems; candidates with publications in CCF-A category journals or conferences such as AAAI, NeurIPS, SIGKDD, SIGIR, etc., are preferred.
3. Strong resilience, excellent communication and teamwork skills; passionate about technology, willing to embrace challenges with the team, and a drive for innovation.