Machine Learning Engineer Graduate (Brand Ads) - 2027 Start (PhD)

What you'll do

• Build scalable technical solutions to advertising business challenges in collaboration with cross-functional partners.
• Work on systems for major advertisers that directly affect revenue and advertiser experience.

What they ask for

• Completing or recently completed a PhD in Computer Science or a related discipline.
• Programming skills in one or more general-purpose languages, such as Go, C/C++, Java, or Python.
• Knowledge of data structures, algorithms, Linux, system design, statistics, probability, and machine learning and deep learning fundamentals.
• Familiarity with at least one mainstream machine-learning framework, such as TensorFlow, PyTorch, or MXNet.

Nice to have

• Understanding of online advertising systems and advertising concepts.
• Experience in large-scale systems, recommendation, search, advertising, data analysis, experimentation, feature engineering, model optimization, or distributed machine learning.

Tools

Go, C/C++, Java, Python, Linux, TensorFlow, PyTorch, MXNet

AI focus

Apply machine learning to inventory forecasting, auction traffic optimization, and ad delivery quality and efficiency.