Machine Learning Engineer Graduate (TikTok Trust and Safety)

TikTok
San Jose, CA
Job Description
Role Overview

Join the algorithm team in developing state-of-the-art computer vision, NLP, and multimodality models to protect the platform and users from content and behavior violations. Collaborate with product teams, engineering teams, and data scientists to improve trust and safety strategy.

What You Will Do

Collaborate with teams to deploy machine learning models, design online model workflows, and implement serving pipelines at scale. Work on state-of-the-art content understanding techniques, including unimodal/multimodal content classifiers, learning models, and Large Language Models.

Why It Might Be a Fit

Successful candidates will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Must be able to commit to an onboarding date by the end of the year.

Requirements

  • Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science or a related discipline.
  • Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
  • Strong coding skills.
  • Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.
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