CV/NLP/Multimodal LLM Machine Learning Engineer Graduate (TikTok-Trust and Safety) - 2026 Start (PhD)

Seattle, WA (On-site)

$148K/yr – $301K/yrIntern/New GradFull time

Posted 3 months ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Drive cutting-edge content understanding models at TikTok with a focus on safety, model deployment, and cross-functional collaboration.

  • Own end-to-end ML model development and deployment in a graduate-focused team.
  • Must-have: PhD in a quantitative field and ML/LLM experience.
  • Standout: Opportunity to work on unimodal/multimodal classifiers and RL/Active Learning at scale.

Job Description

Responsibilities

  • The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations.
  • We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
  • Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
  • In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously.
  • 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.
TikTok logo

TikTok

3.2 Glassdoor

TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.

Founded in 2003
Los Angeles, California, US
71K employees (26,053 in marketing)
48% recommend to a friend
70% CEO approval

Traffic Signals

Monthly Visitors
3B
Traffic Source Mix
Search
36.6%
Direct
59.4%
Referral
2.7%
Social
1.1%
Paid
0.2%

Headcount Trend

Current headcount: ~79.7K

Marketing Team

Marketing Team Size
23,667 (30% of company)
Median Career Experience
11 years
Median Tenure
4.3 years
Marketing Roles Posted (Last 30 Days)
76

Recent News