Staff Machine Learning Engineer, Monetization

Degree in Computer Science, Machine Learning, Statistics or related field

Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing

Experience leading projects and mentoring team members

Strong mathematical skills with knowledge of statistical methods

Excellent written and verbal communication skills and strong cross-functional collaboration

Background in computational advertising is a plus, but not required

Design features and build large-scale machine learning models to improve user ads action prediction with low latency

Drive innovation in personalized Shopping Ads recommendations through advanced modeling

Develop new methods for inferring user interests from online and offline activity

Mine text, visual, user signals to better understand user intention

Leverage multimodal signals (text, visual, user) to better understand user intent

Collaborate with product and sales teams to design and implement new ad products