Senior Machine Learning Engineer (Vector Bidding Science)

• We are looking for a Senior Machine Learning Engineer to join our Vector Bidding Science team. In this role, you will define the technical vision and architect the next generation of scalable real-time bidding systems powered by cutting-edge AI, marketplace intelligence, and advanced optimization frameworks
• As a key member of the Vector AI org, you will play a pivotal role in advancing Unity’s high-scale ads engine. By harnessing massive datasets and rich signals, you will develop state-of-the-art bidding and pacing algorithms that automatically maximize advertisers’ returns
• Design, implement, and optimize core bidding algorithms and auction mechanisms
• Architect and scale bid landscape forecasting capabilities
• Analyze large-scale marketplace dynamics to uncover deep insights and deliver algorithmic improvements
• Drive offline evaluations and online A/B experiments to validate model performance and deliver measurable business impact
• Collaborate cross-functionally with product, infrastructure, and engineering teams

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- Solid understanding of metric design, online experimentation frameworks (A/B testing), and large-scale data analysis
• Hands-on experience in state-of-the-art machine learning, reinforcement learning, and control theory to complex, real-world bidding or pricing problems
• Strong software engineering skills in Python and experience with deep learning frameworks, preferably PyTorch
• Proven ability to lead projects end-to-end and deliver measurable business impact in an ambiguous technical landscape
• Experience working with large datasets and distributed computing frameworks (e.g., Spark, Ray, BigQuery, Flink)
• Experience building real-time ad systems, specifically in DSP (Demand-Side Platform) bidding logic, survival analysis for market price estimation, or game-theoretic modeling
• Experience leveraging AI tools (such as Claude Code, GitHub Copilot, and Cursor) to accelerate development