Machine Learning Engineer Graduate (Ads Signal & Measurement) - 2027 Start

What you'll do

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

What they ask for

• Completing or recently completed a Bachelor's or higher degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related technical discipline.
• Foundation in machine learning and statistics, including hypothesis testing, regression, and probabilistic models; causal inference is ideal.
• Strong programming skills in at least one of Python, Go, Java, or C/C++, and understanding 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 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, and measurement; apply large language models to understand, classify, assess, and automatically correct advertiser conversion signals.