Trust & Safety Multimodal ML Engineer

TikTok Inc.; San Jose (CA); On-site; USD 254,000 - 588,000; Full time

Job summary

TikTok Inc. is seeking experienced machine learning engineers for its Trust and Safety team to design and deploy advanced content understanding models at scale.

You will work with product and engineering partners to define objectives, build unimodal/multimodal classifiers and LLM-based solutions, and deliver online serving pipelines that protect billions of users. This role offers opportunities to influence safety, integrity, and user experience across the global platform while collaborating

Qualifications

• BS/MS degree in Computer Science, Statistics, Operations Research, Applied Mathematics or similar quantitative field.
• Hands-on experience in ML areas: CV/NLP/Multimodal/Graph/LLM.
• Strong coding skills, especially in Python.
• Curiosity towards new technologies and teamwork skills.

Responsibilities

• Lead and build content understanding models for content moderation.
• Work on state-of-the-art content understanding techniques including unimodal/multimodal content classifiers, graph models, representation learning models, and LLM.
• Collaborate with product teams to define business objectives and improve trust and safety strategy.
• Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipeline at scale.
• Collaborate with data scientist team to understand challenges and propose data-driven strategies.

Skills

Machine Learning

Python

Algorithms

Teamwork

Education

BS/MS in Computer Science or quantitative field

Job description

TikTok Inc. is seeking experienced machine learning engineers for its Trust and Safety team to design and deploy advanced content understanding models at scale.

You will work with product and engineering partners to define objectives, build unimodal/multimodal classifiers and LLM-based solutions, and deliver online serving pipelines that protect billions of users. This role offers opportunities to influence safety, integrity, and user experience across the global platform while collaborating