ML Engineer, Trust & Safety — Content Moderation

TikTok Inc.; Seattle (WA); On-site; USD 154,000 - 301,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Short-term and long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Job summary

TikTok in Seattle is seeking graduates to join the algorithm team to advance state-of-the-art computer vision, NLP and multimodal models, protecting our platform and users. You will tackle bold ideas and grow professionally as you work on distributed training and content understanding.

Successful candidates must commit to onboarding by end of 2026; you will collaborate across product, engineering and data science to deploy models and build scalable serving pipelines.

Qualifications

• Ph.D in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
• Hands-on or academic experience in ML, Large Language Models, Recommendation Systems, and related areas.
• Strong coding skills.
• Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

Responsibilities

• 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 pipelines at scale.
• Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.
• Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.

Skills

Machine Learning

Large Language Models

Recommendation Systems

Strong coding skills

Curiosity to new tech

Communication & teamwork

Education

PhD in CS/EE/OR/Math or similar

Job description

TikTok in Seattle is seeking graduates to join the algorithm team to advance state-of-the-art computer vision, NLP and multimodal models, protecting our platform and users. You will tackle bold ideas and grow professionally as you work on distributed training and content understanding.

Successful candidates must commit to onboarding by end of 2026; you will collaborate across product, engineering and data science to deploy models and build scalable serving pipelines.