Machine Learning Engineer (LLM/VLM) - Trust and Safety (Australia)

Written by the T&S Network from TikTok's posting.

Builds machine learning systems that detect and remove harmful content for TikTok's Trust & Safety team, often before it reaches the general community. The work covers content safety across TikTok's applications, with models deployed directly to the global platform.

What you'd do

• Build content safety systems for TikTok's global platform.
• Develop scalable classifiers, tools, models and algorithms using machine learning, computer vision and data mining.
• Improve trust and safety strategy and model performance against product objectives.
• Partner with other teams to protect TikTok across markets.
• Collaborate with data analysts to find data patterns.

What it asks for

• Proficiency in PyTorch or TensorFlow and in Python or Java.
• Strong data structures and algorithms background.
• Good communication and teamwork skills.
• Experience with pre-training foundation models, efficient training, or downstream NLP/CV/video applications (preferred).
• Publications in top AI conferences or journals such as KDD, NeurIPS, CVPR or ACL (preferred).
• Trust and safety experience (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on TikToknorth_east before you apply. If we got something wrong, report this listing.