Machine Learning Engineer - Emerging Business - TikTok BRIC

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok Inc. is seeking a Machine Learning Engineer for Emerging Business in Singapore.

You will own end-to-end risk system development, building real-time multimodal risk models and defending against AI abuse, fraud, and manipulation. You will lead PoC validation, explore advanced AI techniques including Agentic AI and graph learning, and collaborate closely with engineering, product, and growth teams to scale risk controls across new business domains.

Qualifications

• Master's degree or higher in CS, Math, Statistics or related field.
• Strong ML/DL foundation with classification, ranking, sequence modeling and anomaly detection.

Responsibilities

• Lead end-to-end risk system development for emerging TikTok businesses.
• Develop real-time risk detection models using multimodal data.
• Analyze abuse patterns and build robust adversarial risk defenses.
• Drive research and PoC validation for advanced tech like LLM agents and graph learning.
• Collaborate with cross-functional teams to deploy scalable risk controls.

Skills

Machine learning

XGBoost

DeepFM

Transformers

Graph Neural Networks

Python

C++

Go

PyTorch

Adversarial risk

Education

Master's degree or higher in CS/Math/AI

Tools

PyTorch

TensorFlow

GNN frameworks

Job description

Machine Learning Engineer - Emerging Business - TikTok BRIC

Location

Employment Type

Regular

Job Code

A253786A

Responsibilities

• End-to-end Risk System Development: Lead the design and development of risk control algorithms and systems across TikTok Drama, TikTok AI, TikTok Open Platform, and other emerging businesses, focusing on detecting and mitigating AI capability abuse, advertising fraud, fake conversions, traffic and engagement manipulation, account farming, account hijacking, and API abuse.
• Multimodal Risk Model Development & Optimization: Develop high-precision, low-latency, and reliable real-time risk detection and scoring models using large-scale multimodal data, including account attributes, device fingerprints, content signals, AI feature usage logs, advertising conversion funnels, user behavior sequences, and API invocation logs.
• Adversarial Defense & Risk Discovery: Analyze sophisticated abuse patterns, identify emerging threats through data analysis and risk mining, and develop robust adversarial strategies and hybrid rule-model defense systems to protect emerging businesses against evolving attacks.
• Cutting-edge Research & Implementation: As a technical owner, drive technology research, solution evaluation, architecture design, proof-of-concept (PoC) validation, and production implementation. Explore and apply advanced technologies, including Agentic AI, LLM post-training and fine-tuning, multimodal representation learning, behavioral sequence modeling, and graph learning, to enable automated risk discovery, investigation, reasoning, and decision-making.
• Cross-functional Collaboration: Own the full lifecycle of algorithm development, from technical architecture and model evaluation to deployment and continuous optimization. Collaborate with engineering, product, advertising, growth, strategy, moderation, and data teams to drive technical innovation and establish scalable, reusable risk control capabilities across emerging business scenarios.

Qualifications

• Minimum Qualification(s)- Master's degree or higher in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field.
• Algorithmic Foundation: Strong theoretical foundation in machine learning and deep learning, with proficiency in classification, ranking, sequence modeling, and anomaly detection techniques, including XGBoost, DeepFM, Transformers, and Graph Neural Networks.
• Engineering Skills: Strong programming skills in at least one of Python, C++, or Go, with hands-on experience in PyTorch or TensorFlow.
• Core Competencies: Strong analytical thinking, data intuition, and a passion for adversarial risk control and complex problem-solving. Demonstrated ability to design technical solutions, validate proofs of concept (PoCs), drive technical initiatives, and collaborate effectively across teams.
• Preferred Qualification(s)- PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field is preferred, particularly with research experience in machine learning, deep learning, or AI-related domains.
• Agentic AI Experience: Experience building LLM agents, integrating tools, planning complex tasks, and deploying automated risk investigation and decision-making solutions.
• Multimodal & Behavioral Modeling: Experience in content understanding, behavioral sequence modeling, device fingerprinting, account anomaly detection, advertising fraud detection, or traffic manipulation detection.
• Industry Experience: Proven experience developing machine learning algorithms for AI safety, advertising anti-fraud, traffic integrity, account risk control, Open Platform API risk control, or internet ecosystem integrity, with experience developing large-scale distributed risk control systems, offline training pipelines, and online inference systems.
• End-to-end experience in risk technology research, proof‑of‑concept (PoC) validation, and scaling solutions from initial pilots to large‑scale production environments.

Job Information

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.

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