Staff Applied Scientist, Ads Personalization

What you'll do

• Design, implement, and maintain user-understanding models; monitor model quality, calibrate predictions, and address data drift or delayed feedback.
• Help set the team’s long-term direction and oversee engineering design and project execution.
• Communicate technical concepts to non-engineering stakeholders.

What they ask for

• 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.
• 3+ years of experience in content understanding, behavior modeling, user profiling, and cohort analysis.
• Significant experience in one or more general-purpose programming languages; knowledge of metric design, experimentation methodologies, and large-scale data analysis.

Nice to have

• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
• Experience with state-of-the-art control systems and reinforcement learning algorithms.

Pay

$172,200 - $283,900 USD annually (base salary)

Tools

Python, Go, Scala, C++

AI focus

Develop and improve ad ranking, conversion prediction, recommendation, and user-behavior models; the role also involves maintaining model quality and reliability.