Machine Learning Engineer, Commerce & Content Service & Search Ads - (Gener at TikTok
San Jose, California, USA -
Full Time


Start Date

Immediate

Expiry Date

11 Jul, 25

Salary

0.0

Posted On

06 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Computer Engineering, Debugging, Programming Languages

Industry

Information Technology/IT

Description

Responsibilities
Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.

MINIMUM QUALIFICATIONS:

  • BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
  • Experience in and good theoretical grounding in machine learning concepts and techniques.
  • Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
  • Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc
  • Ability to think critically and to formulate solutions to problems in a clear and concise way.

PREFERRED QUALIFICATION:

  • Has experience in ads system, recommendation, searching, ranking, etc.
    Job Information
    TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo
Responsibilities
  • Participate in the development of a large-scale Ads system.
  • Responsible for the development of state-of-the-art applied machine learning projects.
  • Own key targeting components or strategies in the TikTok ads monetization ecosystem.
  • Work with product and business teams on product vision.
    Qualifications
Loading...