Machine Learning Engineer, Trust & Safety (NLP/CV)

TikTok Inc.; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

TikTok in Sydney is seeking an experienced ML engineer to design, train and deploy state-of-the-art models for safety and content understanding. You will work with a team of researchers and ML engineers to build scalable classifiers and tools using NLP, computer vision and data mining techniques.

The role emphasizes collaboration with cross-functional teams, translating product objectives into robust models, and contributing to TikTok's global platform safety initiatives.

Qualifications

• 3+ years in ML/DL/CV/NLP or related areas.
• Experience with pre-training and deployment as a service.
• Proficient in PyTorch and TensorFlow; Python/Java programming.
• Strong communication and teamwork, eager to learn.

Responsibilities

• Build state-of-the-art models for NLP and CV tasks within TikTok’s Trust & Safety platform.
• Develop scalable classifiers, tools, models and algorithms using ML, CV, and data mining.
• Align with product goals and improve model performance for global safety.
• Collaborate with cross-functional teams to protect TikTok globally.
• Partner with data analysts to identify data patterns.

Skills

Machine learning

Deep learning

Computer vision

NLP

Audio

Pre-training

Data mining

Communication

Teamwork

Research

Tools

PyTorch

TensorFlow

Python

Java

Job description

TikTok in Sydney is seeking an experienced ML engineer to design, train and deploy state-of-the-art models for safety and content understanding. You will work with a team of researchers and ML engineers to build scalable classifiers and tools using NLP, computer vision and data mining techniques.

The role emphasizes collaboration with cross-functional teams, translating product objectives into robust models, and contributing to TikTok's global platform safety initiatives.