Senior Applied Scientist II, Ads Optimization

Responsibilities

• Design real-time bid optimization systems based on advertiser goals
• Build algorithms for intelligent budget allocation across time and auctions
• Develop frameworks connecting bidding, pacing, and budgeting
• Shape auction mechanics including pricing and allocation strategies
• Own the research-to-production loop from diagnostics to impact measurement

Qualifications

• MS or PhD in operations research, applied mathematics, or related field
• 8+ years in building and deploying optimization systems in production
• Strong foundation in control theory, optimization, and auction design
• Proficiency in Go, Java, C++, and Python
• Experience translating mathematical models into scalable production code

Benefits

• Remote work flexibility under the Flex First policy
• Participation in equity grants for new hires and annual refreshes