Senior Machine Learning Engineer, Unity

• 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 building CTR/CVR systems, content understanding, or behavior modeling systems
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis

Desirable

• At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem
• Our Vector team plays a central role in this effort by developing state-of-the-art conversion rate (CVR) prediction and market price models that power our ad ranking and recommendation systems
• These models help advertisers reach the right users at the right time by accurately estimating engagement and conversion likelihood
• By leveraging large-scale behavioral data, creative features, and contextual signals, we continuously improve the relevance and accuracy of our predictions
• This drives key outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend — enabling advertisers to achieve their goals while delivering a better experience for users
• We are seeking a highly skilled Senior ML Engineer to drive state-of-the-art bidding optimization systems that enable efficient budget pacing, goal-aligned automated strategies, continual improvement through experimentation, and sustainable growth for Unity Ads
• Design, implement, and maintain high-performance CTR and CVR prediction models that power ad ranking and recommendation systems
• Build and refine systems for creative understanding and user behavior modeling, enabling more accurate and context-aware engagement predictions
• 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