Staff Machine Learning Engineer, Monetization

📋 Description

• Design large-scale ML models for ads action prediction with low latency
• Drive personalized Shopping Ads recommendations through advanced modeling
• Develop methods to infer 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, sales to design and implement new ad products

🎯 Requirements

• Degree in Computer Science, ML, Statistics or related field
• Experience building production ML systems at scale, data mining, search, recommendations, or NLP
• Experience leading projects and mentoring team members
• Strong mathematical skills with knowledge of statistical methods
• Excellent written and verbal communication and cross-functional collaboration
• Background in computational advertising is a plus, but not required

🎁 Benefits

• Hybrid work model
• Equity eligible
• Equal opportunity employer
• Inclusive, supportive culture