Ads ML Engineer: AI-Driven Ranking & Bidding

TikTok

San Jose (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

TikTok Ads Core ML Team develops state-of-the-art ad technologies, including ranking, retrieval, targeting, and bidding. The role emphasizes improving ROI for advertisers while optimizing the ad delivery pipeline across recalls, ranking, and final placement.

You will join a team delivering innovative ad systems at scale, collaborating with multiple global groups to push the efficiency and effectiveness of TikTok’s advertising products.

Qualifications

  • BS/MS in CS/CE or related technical field with industry or model optimization experience.
  • Proficient in C/C++ and Python; strong deep learning fundamentals.
  • Linux development environment proficiency.
  • Strong analytical and critical thinking; knowledge of statistics.
  • Experience with ML frameworks: TensorFlow, PyTorch, or MXNet.
  • Ability to collaborate with cross-location teams across time zones.

Responsibilities

  • Achieve rapid iteration and optimization of ad models using advanced technologies (AIGC/LLMs/RL/DL) to boost revenue and system efficiency.
  • Improve delivery efficiency of automatic delivery products to increase penetration versus manual delivery.
  • Iterate bidding and budget algorithms to match traffic for advertisers.
  • Develop ads delivery capability as a tool for doing business with the global team.
  • Establish a robust framework for parallel model iteration across multiple teams in the delivery funnel.

Skills

C/C++
Python
Deep learning
Statistics
Cross-functional collaboration

Education

BS/MS in CS/CE or related field

Tools

TensorFlow
PyTorch
MXNet

Job description

TikTok Ads Core ML Team develops state-of-the-art ad technologies, including ranking, retrieval, targeting, and bidding. The role emphasizes improving ROI for advertisers while optimizing the ad delivery pipeline across recalls, ranking, and final placement.

You will join a team delivering innovative ad systems at scale, collaborating with multiple global groups to push the efficiency and effectiveness of TikTok’s advertising products.

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