Machine Learning Engineer Intern (Ads Signal & Measurement) - 2027 Summer

What you'll do

• Develop signal-quality models, identity-resolution methods, and attribution and incrementality models.
• Feed signal, identity, and attribution outputs into ads ranking, and help build experimentation infrastructure and data pipelines.
• Explore LLM-based understanding and correction of conversion signals; collaborate to bring algorithmic ideas into production.

What they ask for

• Currently pursuing a Bachelor's or above degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related technical discipline.
• Solid foundation in machine learning and statistics, including hypothesis testing, regression, and probabilistic models; ideally causal inference.
• Strong programming skills in at least one of Python, Go, Java, or C/C++, and solid knowledge of data structures and algorithms.
• Hands-on ML experience through coursework, research, internships, or personal projects.

Nice to have

• Experience in computational advertising, ranking, causal inference or A/B experimentation, entity resolution or graph learning, anomaly detection, or applied LLMs/NLP.
• Publications or strong competition performance; experience with Spark, Flink, PyTorch, or TensorFlow.

Tools

Python, Go, Java, C/C++, Spark, Flink, PyTorch, TensorFlow

AI focus

Machine learning for signal quality, identity resolution, attribution, incrementality measurement, and ad ranking; LLMs for semantic understanding, classification, quality assessment, and automated correction of conversion signals.