Machine Learning/Research Engineer Graduate (Monetization Technology-Ads Core Global) - 2027 Start (PhD)
Core
Research and develop a global advertising delivery system to optimize ad ranking, format personalization, and system resource allocation for TikTok's short-form video platform.
Role type
PhD-level research engineer (advertising systems)
Builds
Global ad delivery pipeline, bidding strategies, and organic video recommendation systems
Domain
Online advertising, machine learning, distributed systems
Deliverable
production ML models
Required skills
C/C++, Python, machine learning theory, deep learning, Linux development, TensorFlow/PyTorch architecture
Preferred skills
Reinforcement learning, LLMs, transfer learning, counterfactual optimization, large-scale distributed task scheduling, top-tier conference publications (RecSys, KDD, ICML, CVPR, NeurIPS)
Technologies
TensorFlow, PyTorch, Spark
Responsibilities
Design system frameworks for modeling efficiency, manage delivery pipeline including bidding and traffic strategy, optimize efficiency across the ad funnel (Recall, CTR/CVR, resource allocation), drive user experience and revenue targets
Seniority
PhD, research-focused IC
