Machine Learning Engineer - TikTok BRIC Live Integrity - Singapore
- Location
- Singapore
- Salary range
- Not stated
- Workplace
- In office
- Level
- Individual contributor
- Job family
- Engineering
- Posted
- Recently
The T&S Network estimates this role to be P2, Professional. We don't yet know typical pay for this level in Singapore. Most of our pay data comes from US roles. If you work in Trust & Safety in Singapore, add your pay to help others. Key skills at this level: builds and ships detection or enforcement systems in production, evaluates a classifier on the metric that matches the harm, not on accuracy, and works with labeled data of uneven and adversarial quality.
Why this level
Estimated from the posting rather than stated by the employer: the title reads as P2.
The role, in T&S terms
Written by the T&S Network from TikTok's posting.
Machine learning work on risk detection for TikTok Live, a live streaming platform, covering ecosystem and content risk and financial risk. The team builds models and adversarial defenses against black-market tactics and attack patterns on the live surface.
What you'd do
- Lead detection and mitigation of ecosystem, content, and financial risks on TikTok Live.
- Design and optimize low-latency risk detection models over text, image, audio, and behavioral sequence data.
- Study underground schemes and attack methods to build defense strategies.
- Respond rapidly to emerging threats against the live platform.
- Drive adoption of AI Agents, LLM fine-tuning, and multimodal models for automated risk reasoning and decisions.
What it asks for
- Deep grounding in machine learning and deep learning, covering classification, clustering, and sequence models such as XGBoost, DeepFM, and Transformers.
- Strong coding in Python, C++, or Go.
- Experience with TensorFlow or PyTorch.
- Experience with large-scale distributed systems (preferred).
- Track record building AI Agents for task planning, tool use, or autonomous decisions (preferred).
- Hands-on LLM fine-tuning experience such as SFT and RLHF (preferred).
Terms in this role
- RLHF.
- Reinforcement learning from human feedback: training an AI model on people's ratings of its answers.
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on TikTok before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About TikTok

The employer
About TikTok
Social platforms · Media and streaming · Culver City, CA · 50,001 to 100,000 people · Founded 2016
Short-form video platform, run by ByteDance outside the US and by a joint venture of Oracle, Silver Lake and MGX inside it since 2026.
Moderation, reported
TikTok filed 37.7M moderation decisions with the European Commission for May 2026.
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