Machine Learning Engineer Intern (Ads Signal & Measurement) - 2027 Summer
Core
Build and improve machine learning models for signal quality, identity resolution, and attribution modeling to ensure the reliability of advertiser conversion data at scale.
Role type
Machine Learning Engineer Intern (Ads Signal & Measurement)
Builds
Production ML models for signal quality, identity graphs, attribution, and downstream ads ranking systems
Domain
Advertising technology, large-scale machine learning, causal inference
Deliverable
production ML models
Required skills
Machine learning, statistics, Python, Go, Java, C/C++, data structures and algorithms, anomaly detection, probabilistic models, graph algorithms, LLMs/NLP
Preferred skills
Causal inference, A/B experimentation, entity resolution, large-scale data processing frameworks, ML frameworks, publications in ML venues
Technologies
PyTorch, TensorFlow, Spark, Flink
Responsibilities
Build ML models for signal quality (anomaly detection, denoising), contribute to cross-platform identity resolution, participate in attribution model design, drive application of signals in ranking models, build experimentation infrastructure, explore LLM-powered signal intelligence
Seniority
Intern
