Tech Lead Machine Learning Engineer - Multimodal/LLM, Trust and Safety

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

Builds ML systems that moderate user content across video, image, text and audio on TikTok, enforcing Community Guidelines against harmful content and platform abuse. The team sits in the Trust & Safety Algorithms group and applies LLMs and multimodal foundation models to content moderation at global scale.

What you'd do

• Own design and delivery of a core system module within a content safety vertical
• Lead ML engineers toward production-ready moderation solutions with strong technical rigor
• Build end-to-end ML pipelines covering data processing, training, evaluation, deployment and monitoring
• Apply CV, NLP and LLM techniques to moderation problems across video, image, text and audio
• Raise model quality by analyzing data, diagnosing errors, engineering features and inventing new model approaches
• Work with product, policy and operations partners so technical solutions match safety requirements

What it asks for

• Master's or PhD in computer science, machine learning, AI or a related field
• 4+ years of hands-on experience building machine learning systems
• Track record guiding small engineering groups or owning major ML components from start to finish
• Shipping large-scale ML models into live production environments
• Strong expertise in computer vision, NLP, LLMs/generative AI or multimodal modeling
• Solid grounding in model training, fine-tuning, evaluation and optimization
• Experience with LLM alignment, safety modeling or trust and safety domains (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.