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TikTok

Short-form video platform with ads

Machine Learning Engineer - Recommendation, E-Commerce Alliance

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • At least 2 years of industry experience and a solid theoretical foundation in machine learning.
  • Familiarity with common algorithms such as matrix factorization, Gradient Boosted Decision Trees, Learning to Rank, Word2vec, Deep Interest Network, and Deep & Wide.
  • Proficiency in Python and C++.

Responsibilities

  • Build and design large-scale machine-learning algorithms to model creators’ real-time interests and improve conversion efficiency.
  • Optimize large-scale commodity relationship mining, ranking, and recall for creators’ product recommendations, and improve the platform’s overall gross merchandise value.
  • Analyze creator and merchant behavior using large-scale data and build targeted algorithm strategies to empower creators and merchants, improve merchants’ monetization efficiency, and promote industry upgrading.
  • Support the rapid development of TikTok’s e-commerce business, serve millions of merchants, explore more efficient business models, provide users with a strong shopping experience, and promote healthy ecosystem development.

Desired Qualifications

  • Proficiency with at least one of the following open-source tools: XGBoost, TensorFlow, or Caffe.
  • Strong learning ability and communication and collaboration skills.

About the Company

TikTok

Short-form video platform with ads

TikTok is a short-form mobile video platform that lets people create, discover, and share quick videos. Users upload vertical clips, edit them with built-in tools, and browse a personalized feed powered by an algorithm that highlights relevant content. Advertisers can use in-feed ads, branded hashtags, and the Business Center to plan and measure campaigns, making it easy for brands to reach a global audience. Its goal is to inspire creativity and bring joy by helping people express themselves and by connecting brands with a wide audience.

Company size
10,001+
Company stage
Grant
Total funding
$740K
Headquarters
Santa Monica, CA
Founded
2016

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