Multimodal ML Engineer for Content Moderation & Scale

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k)

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok Inc. in California is seeking excellent machine learning engineers to design and deploy advanced ML solutions for Trust and Safety, protecting billions of users and publishers across the globe.

You will lead content understanding models, collaborate with product and engineering teams, and help deploy scalable online ML systems to address safety and integrity challenges at internet scale.

Qualifications

• BS/MS degree in Computer Science, Statistics, Operations Research, Applied Mathematics, Physics or similar quantitative fields, with 2+ years of related experience.
• Hands-on experience in ML areas (CV/NLP/Multimodal/Graph/LLM) and statistical models.
• Strong coding skills, especially in Python.
• Curiosity towards new technologies and good communication 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 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 ML models, design online model workflows, and implement scalable serving pipelines.
• Collaborate with data science to understand challenges and propose data-driven strategies.

Skills

Machine learning

ML fundamentals

Teamwork & communication

Problem solving

Education

CS/Math degree

Tools

Python

Job description

TikTok Inc. in California is seeking excellent machine learning engineers to design and deploy advanced ML solutions for Trust and Safety, protecting billions of users and publishers across the globe.

You will lead content understanding models, collaborate with product and engineering teams, and help deploy scalable online ML systems to address safety and integrity challenges at internet scale.