Machine Learning Engineer Graduate (Brand Ads) - 2027 Start
Core
Building end-to-end ads delivery tech stack including bidding, ranking, and forecasting to optimize auction traffic and delivery quality for brand advertisers.
Role type
Machine Learning Engineer (Graduate)
Builds
Ads bidding, ranking, and forecasting systems
Domain
Online advertising / Machine Learning
Deliverable
production ML models
Required skills
Go, C/C++, Java, Python, data structures, algorithms, Linux, system design, statistics, probability, machine learning, 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, DSP, RTB, large-scale backend systems, recommendation systems, search systems, data analysis, experimentation, feature engineering, model optimization, distributed computing
Responsibilities
Forecast available inventory, optimize auction traffic, use machine learning to improve delivery quality and efficiency, collaborate with engineers and product managers to turn business challenges into scalable technical solutions
Seniority
Graduate (Master's level)
