Staff Applied Scientist, Ads Personalization & CVR Modeling

LE130 Unity Technologies SF; Mountain View (CA); On-site; USD 172,000 - 284,000; Full time

Benefits offered by this job

Comprehensive health insurance

Equity awards

Annual bonuses

Job summary

Unity is seeking a Staff Applied Scientist to build advanced systems for understanding user behavior across Unity's Gamer AI initiatives. You will enhance ad ranking, conversion predictions, and recommendation systems to power smarter bidding and better performance.

The role requires an MS/PhD with 5+ years building large-scale ads delivery systems and 3+ years in content understanding and user modeling. Strong programming in Python/Go/Scala/C++ is expected, plus experience with performance

Qualifications

• 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.

Responsibilities

• Design, implement, and maintain user understanding models.
• Monitor model quality and calibrate predictions; address data drift or delayed feedback.
• Communicate complex technical concepts to non-engineering stakeholders.
• Plan and oversee engineering designs and project execution.

Skills

Behavior modeling

Ads ranking optimization

Machine learning

Large-scale systems

Python

Go/Scala/C++

Education

MS or PhD in CS/ML/Statistics

Tools

Python

Go

Scala

C++

Job description

Unity is seeking a Staff Applied Scientist to build advanced systems for understanding user behavior across Unity's Gamer AI initiatives. You will enhance ad ranking, conversion predictions, and recommendation systems to power smarter bidding and better performance.

The role requires an MS/PhD with 5+ years building large-scale ads delivery systems and 3+ years in content understanding and user modeling. Strong programming in Python/Go/Scala/C++ is expected, plus experience with performance