Machine Learning Engineer Intern (3-month Internship)
Core
Building state-of-the-art machine learning systems for large-scale programmatic advertising, including model architecture design, feature engineering, and infrastructure enhancement.
Role type
Machine Learning Intern
Builds
Custom deep neural network models for ad recommendation and large-scale ML experimentation/training infrastructure
Domain
AI Advertising / Programmatic Advertising
Deliverable
production ML models
Required skills
Deep learning, model architecture design, feature engineering, performance optimization, TPU/GPU training, microservices, scalable data pipelines (Spark/Apache Beam), Python, Java, Golang, probability, statistics, algorithms, data structures
Preferred skills
None stated
Technologies
Python, Java, Golang, Spark, Apache Beam, TPU, GPU
Responsibilities
Conduct experiments on state-of-the-art machine learning models for real-world, large-scale problems; Enhance infrastructure for large-scale ML experimentation, training, and serving
Seniority
Intern
