Senior Machine Learning Engineer, Unity

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, or a 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 control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems
• Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis

Desirable

• The Unity Demand Optimization team plays a central role in this effort by building ad campaign optimizations that enable advertisers to efficiently capture user engagement while minimizing their costs
• The team leverages machine learning models to incorporate advertisers' off-site goals into auction ranking, helping them maximize installs, key conversions, or return on ad spend
• We are seeking a highly skilled staff engineer to take a critical role in building state-of-the-art bidding optimization systems that enable:
• Efficient budget pacing across campaigns
• Automated bidding strategies that align with advertiser goals
• Continual system improvement through rigorous experimentation
• Sustainable growth for Unity’s advertising business
• Design, implement, and maintain high-performance auto-bidding algorithms and advertiser-facing products (e.g., Target ROAS, Target CPA)
• Ensure these systems meet or exceed campaign performance goals, advertiser expectations, and system reliability standards
• Lead development on core initiatives such as:
• A bid-based budget pacing system that ensures daily budget delivery
• Maximize Conversions, which leverages real-time bidding to meet key advertiser goals
• Lowest Cost, a product that automates bidding to simplify campaign management
• Target ROAS, which lets advertisers scale volume without sacrificing performance targets
• Drive best practices for model quality, experimentation, system reliability, and operational excellence
• 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