Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2027 Summer

What you'll do

• Optimize efficiency across ad recall and sorting, CTR/CVR ranking, creative personalization, and resource allocation.
• Research and develop advertising delivery systems using ML/DL, RL, LLMs, and scaling laws for ads recommendation.
• Design system frameworks and standards, and collaborate with product and business teams on global needs.

What they ask for

• Currently pursuing a Bachelor's in Computer Science, Mathematics, Statistics, or a related technical 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 ML/DL-, RL-, and LLM-based advertising delivery and recommendation systems; optimize ranking, personalization, and ad-serving efficiency.