Drimva

TikTok

Applied Scientist- TikTok E-Commerce Recommendation

Seattle, Washington · Full-time · Posted Oct 28, 2026

Experience
3+ years in one of the listed or related fields.
Education
MS/PhD in Computer Science or a related technical field, or equivalent industrial research experience.

About the job

Develops large-scale e-commerce recommendation algorithms and systems for TikTok Shop, modeling user interests and improving candidate generation and ranking.

What you'll do

  • Build recommendation algorithms and systems for products, live streams, and short videos.
  • Develop user-interest models and analyze data to identify latent interests.
  • Design, evaluate, and iterate on predictive models, data pipelines, features, and supporting tools.

What they ask for

  • MS/PhD in Computer Science or a related technical field, or equivalent industrial research experience.
  • 3+ years of experience in recommendation algorithms, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or a related field.

Nice to have

  • Familiarity with at least one mainstream deep learning framework, such as TensorFlow or PyTorch.
  • Passion for solving complex and challenging problems.

Tools

TensorFlow, PyTorch

AI focus

Applies large-scale machine learning to e-commerce recommendations, including user-interest modeling and click-through-rate and conversion-rate prediction.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)