Staff Applied Scientist (Ads Personalization)

• Design, implement, and maintain user understanding models
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback
• Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution
• Effectively communicate complex technical concepts to non-engineering stakeholders

Benefits

• Comprehensive health, life and disability insurance
• Employee stock ownership
• Generous vacation and personal days
• Office food and free snacks, lots of health options!
• Employee Resource Groups
• Training and development programs
• Commute subsidy
• Competitive retirement/pension plans
• Paid leave for new parents
• Mental Health and Wellbeing programs and support
• Global Employee Assistance Program
• Volunteering and donation matching program- 3+ years of experience in content understanding, behavior modeling, user profiling, and cohort analysis
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar
• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience
• 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis
• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces
• Experience with state-of-the-art control systems, reinforcement learning algorithms