ML Engineer, Risk & Adversarial Defense (Live)

TikTok; Singapore; Sur place; SGD 120 000 - 190 000; Plein temps

Résumé du poste

TikTok is seeking an AI risk scientist to lead detection and mitigation of ecosystem and financial risks on TikTok Live, a platform serving hundreds of millions of users.

You will design high‑precision, low‑latency risk models using multimodal data, study adversarial patterns, and build robust defenses with AI Agents, LLM fine‑tuning, and multimodal reasoning to improve risk scoring and decision making across global markets.

Qualifications

• Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or a related field.
• Solid background in machine learning and deep learning; proficiency in classification, clustering, and sequence modeling algorithms (e.g., XGBoost, DeepFM, Transformers).
• Strong coding proficiency in Python, C++, or Go; experience with mainstream frameworks like TensorFlow or PyTorch; experience with large‑scale distributed systems.

Responsabilités

• Risk Identification & Governance: Lead the detection and mitigation of ecosystem/content risks and financial risks on TikTok Live.
• Model Development: Design and optimize high‑precision, low‑latency risk detection models utilizing massive multimodal data (text, image, audio, and behavioral sequences).
• Adversarial Defense: Analyze black‑market tactics and attack patterns to design robust defense strategies and respond rapidly to emerging threats.
• Advanced AI Application: Drive the adoption of cutting‑edge technologies, including AI Agents, LLM Fine‑tuning, and Multimodal Models, to enhance automated reasoning and decision‑making capabilities in complex risk scenarios.

Connaissances

Machine learning

Deep learning

XGBoost

DeepFM

Transformers

Python

C++

Go

TensorFlow

PyTorch

Distributed systems

Communication & teamwork

Formation

Bachelor’s degree or higher in Computer Science/Math/Statistics

Outils

Python

C++

Go

TensorFlow

PyTorch

Description du poste

TikTok is seeking an AI risk scientist to lead detection and mitigation of ecosystem and financial risks on TikTok Live, a platform serving hundreds of millions of users.

You will design high‑precision, low‑latency risk models using multimodal data, study adversarial patterns, and build robust defenses with AI Agents, LLM fine‑tuning, and multimodal reasoning to improve risk scoring and decision making across global markets.