(General Hire) Multi-modal Machine Learning Engineer - Trust and Safety

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

Builds machine learning models and serving systems that moderate harmful content across TikTok's global platform, at the scale of billions of users and a very large volume of platform data. The work sits in the Trust and Safety team, which is there to solve safety and integrity problems at internet scale.

What you'd do

• Lead and build content understanding models used for content moderation.
• Build classifiers that work on text, images, or video alone or combined, plus graph and representation learning models and LLM-based methods.
• Deploy machine learning models directly to the global platform and design online model workflows.
• Implement serving pipelines that run at scale.
• Work with product teams to define business objectives and shape trust and safety strategy.
• Work with data scientists to identify key challenges and propose data-driven strategies.

What it asks for

• BS or MS in computer science, statistics, operations research, applied math, physics, or a similar quantitative field.
• 2+ years of related experience.
• Hands-on experience in machine learning (CV, NLP, multimodal, graph, or LLM), statistical models, or applied mathematical methods.
• Strong coding skills, especially in Python or similar languages.
• Ability to communicate clearly and work well on a team.
• Experience with LLM, multimodal modeling, or representation learning (preferred).
• Knowing how content understanding and moderation create business value (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.