Machine Learning Engineer Intern, Trust and Safety Engineering - 2027 Start (PhD)

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

Builds machine learning systems that detect and remove harmful content for TikTok's global platform, with the Trust & Safety team investing in both human and machine-based moderation. The intern works on content safety classifiers and models inside that team.

What you'd do

• Build content safety systems for TikTok's 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 teams across functions to safeguard the platform worldwide

What it asks for

• Enrolled in a doctoral program in CS, engineering or a quantitative discipline
• Hands-on depth in at least one of ML, pattern recognition, NLP, data mining or vision
• Experience in recommendation, search, advertising or related projects (preferred)
• Publications at top AI conferences or journals such as KDD, NeurIPS, CVPR or ACL (preferred)
• Has placed in data science or ML contests across these fields (preferred)
• Strong grasp of algorithmic design and core data structures (preferred)

Worth knowing

• Fixed-term internship starting in late 2026 and running into early 2027

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.