T

TikTok

Short-form video platform with ads

Machine Learning Engineer - Feed E-Commerce

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience.
  • Solid experience with data structures and algorithms.
  • Software development experience through hands-on coding in a general-purpose programming language.
  • Experience in one or more of the following areas: machine learning, recommendation systems, data mining, or other related areas.
  • Strong communication and teamwork skills.
  • Passion for technologies and solving challenging problems.

Responsibilities

  • Design and apply machine learning algorithms and recommendation strategies to improve users' experience with e-commerce content, including videos and livestreams.
  • Understand the e-commerce content ecosystem and use algorithms and strategies to help it thrive.
  • Work with product and operations teams to deliver features that drive growth of e-commerce content on TikTok.
  • Build an industry-leading recommendation system and develop highly scalable classifiers and tools leveraging machine learning.

Desired Qualifications

  • More than 3 years of experience in the recommendation algorithm domain is preferred.

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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