Machine Learning Engineer Graduate (Monetization Technology - Ads Core Global) - 2027 Start

What you'll do

• Optimize efficiency across ad recall, sorting, creative personalization, and resource allocation.
• Research and develop advertising delivery systems using ML/DL, RL, LLMs, and scaling law in ads recommendation.
• Design system frameworks and standards, and collaborate with product and business teams globally.

What they ask for

• Completing or recently completed a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related discipline.
• Proficient in C/C++ and Python; familiar with data structures, algorithms, and the Linux development environment.
• Knowledge of statistics and deep learning concepts and techniques.
• Familiar with the architecture and implementation of at least one of TensorFlow, Pytorch, or MXNet.

Nice to have

• Knowledge of Factorization Machine, Uplift Modeling, Diffusion Models, or Reinforcement Learning.
• Basic understanding of large recommendation systems and ads serving systems.

Tools

C/C++, Python, Linux, TensorFlow, Pytorch, MXNet, ML/DL, RL

AI focus

Research and develop advertising delivery and ranking systems using ML/DL, RL, LLMs, and scaling law in ads recommendation.