Structured Data Fusion Large Model Researcher-Risk Control

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading multimedia company in Singapore is seeking a qualified individual for a role focused on risk governance. Responsibilities include utilizing machine learning to address challenges and driving innovation in risk control algorithms. Applicants should have a PhD in relevant fields and excellent coding skills, particularly in Python. The position demands teamwork, resilience under pressure, and a passion for technological advancement, making it an exciting opportunity in a dynamic environment.

Benefits

Positive team atmosphere

Industry experts

Competitive compensation

Qualifications

• PhD preferably with a background in artificial intelligence, computer science, or mathematics.
• Proficiency in Python is required.
• Candidates with publications in top conferences like AAAI or NeurIPS are preferred.

Responsibilities

• Address challenges related to risk governance across products.
• Leverage machine learning and multimodal models to understand user behaviors.
• Drive innovation in risk control algorithms.

Skills

Excellent coding skills

Proficiency in Python

Understanding of data structures and algorithms

Strong communication skills

Teamwork skills

Problem-solving abilities

Education

PhD in artificial intelligence, computer science, or mathematics

Tools

PyTorch

TensorFlow

Job description

About TikTok

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.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

Job highlights

• Positive team atmosphere
• Industry experts
• Competitive compensation

Responsibilities

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.

Project Objectives

Optimize and enhance large models' ability to understand and reason about structured data (sequential data, graph data) based on risk control data.

Project Necessity

1. How to effectively align structured information with the NLP semantic space, allowing models to simultaneously understand both data structure and semantic information.
2. How to use appropriate instructions to enable large models to interpret structural information in structured data.
3. How to endow large language models with step-by-step reasoning capabilities for graph learning downstream tasks, thereby inferring more complex relationships and attributes.

Project Content

Current industry explorations of structured data include:

1. Graph data understanding (e.g., GraphGPT: Enabling large models to read graph data, SIGIR'2024).
2. Graph data RAG (e.g., Microsoft GraphRAG: Unlocking LLM discovery on narrative private data).
3. Sequential data understanding (e.g., StructGPT: A large model reasoning framework for structured data, EMNLP-2023).

However, current efforts mainly focus on understanding single-type structured data, and several challenges remain in risk control scenarios:

1. How to effectively fuse and understand various types of structured data, especially the integration of graph and sequential data.
2. Addressing the challenges mentioned in the "Project Necessity" section, particularly the step-by-step reasoning capabilities for downstream tasks, which are currently underexplored—especially reasoning over sequential data.

Research Directions

1. Large model structured data understanding
2. Large model structured data RAG
3. Large model thought chains

Qualifications

1. PhD preferably with a background in artificial intelligence, computer science, or mathematics.
2. 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.
3. Outstanding ability to define, analyze, and solve problems; candidates with publications in CCF-A category journals or top conferences such as AAAI, NeurIPS, SIGKDD, SIGIR, etc., are preferred.
4. Strong resilience under pressure, excellent communication and teamwork skills; passionate about technology, willing to embrace challenges with the team, and a drive for innovation.