Machine Learning Engineer Graduate (Brand Ads) - 2027 Start

What you'll do

• Build scalable technical solutions for forecasting available inventory, optimizing auction traffic, and improving ad delivery.
• Collaborate with engineers, product managers, data scientists, and strategy partners on business challenges.
• Develop systems that affect revenue and the experience of major advertisers.

What they ask for

• Completing or recently completed a Master's degree in Computer Science, a related field, or equivalent practical experience.
• Proficient in at least one general-purpose programming language, such as Go, C/C++, Java, or Python, with solid coding and debugging skills.
• Strong foundation in data structures, algorithms, Linux development environment, and system design.
• Solid understanding of statistics, probability, machine learning, and deep learning fundamentals; familiarity with a mainstream machine learning framework.

Nice to have

• Understanding of online advertising systems and advertising concepts.
• Experience with large-scale backend, recommendation, search, or advertising systems; data analysis, experimentation, feature engineering, model optimization, or related work.

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.