Machine Learning Engineer Graduate (Brand Ads) - 2027 Start (PhD)
Core
Build end-to-end ads delivery tech stack including bidding, ranking, and forecasting to optimize auction traffic and delivery quality for brand advertisers.
Role type
PhD-level Machine Learning Engineer (Brand Ads)
Builds
Ads bidding, ranking, and forecasting systems for reservation and auction ads
Domain
Online advertising, machine learning, large-scale backend systems
Deliverable
production ML models
Required skills
Go, C/C++, Java, Python, data structures, algorithms, Linux, statistics, probability, machine learning fundamentals, deep learning, TensorFlow, PyTorch, MXNet
Preferred skills
online advertising systems, inventory forecasting, traffic strategy, brand safety, ads ranking, bidding, auction systems, CPM/CPC/CTR/CVR, recommendation systems, distributed computing, Spark, Flink
Responsibilities
Forecast available inventory, optimize auction traffic, use ML to improve delivery quality and efficiency, collaborate with engineers and product managers to solve ambiguous business challenges
Seniority
PhD, entry-level IC
