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

What you'll do

• Optimize efficiency across the advertising funnel, including ad retrieval and sorting, CTR/CVR ranking, creative personalization, and resource allocation.
• Research and develop global ad delivery systems using ML/DL, reinforcement learning, 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

• Completing or recently completed a PhD in Computer Science, Mathematics, Statistics, or a related discipline.
• Proficient in C/C++ and Python; familiar with data structures, algorithms, and Linux development.
• 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 machine-learning-driven ad delivery, ranking, recommendation, and personalization systems, including work with reinforcement learning, LLMs, and scaling laws.