Senior Machine Learning Engineer, Vector Bidding Science

As a Senior Machine Learning Engineer for Unity’s Vector Bidding Science team, you will shape the technical direction and build scalable real-time bidding systems using AI and optimization.

Responsibilities

• Design, implement, and optimize core bidding algorithms and auction mechanisms
• Architect and scale bid landscape forecasting capabilities
• Analyze large-scale marketplace dynamics to extract insights and drive algorithmic improvements
• Lead offline evaluations and online A/B experiments to validate model performance
• Deliver measurable business impact through rigorous model validation and experimentation
• Collaborate cross-functionally with product, infrastructure, and engineering teams

Requirements

• Hands-on experience in state-of-the-art machine learning, reinforcement learning, and control theory applied to complex, real-world bidding or pricing problems
• Strong software engineering skills in Python and experience with deep learning frameworks, preferably PyTorch
• Solid understanding of metric design, online experimentation frameworks (A/B testing), and large-scale data analysis
• Proven ability to lead projects end-to-end and deliver measurable business impact in an ambiguous technical environment

Technologies

• Python
• PyTorch
• A/B testing
• Spark
• Ray
• BigQuery
• Flink

Preferred / You might also have

• Experience working with large datasets and distributed computing frameworks (e.g., Spark, Ray, BigQuery, Flink)
• Experience building real-time ad systems, including DSP 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

Benefits

• Comprehensive health, life, and disability insurance
• Commute subsidy
• Employee stock ownership
• Competitive retirement/pension plans
• Generous vacation and personal days
• Support for new parents through leave and family-care programs
• Office food snacks
• Mental Health and Wellbeing programs and support
• Employee Resource Groups
• Global Employee Assistance Program
• Training and development programs
• Volunteering and donation matching program

Location and Salary

• Location: Mountain View, CA (onsite)
• Base salary (USD/year): 148,700 - 244,600
• Zone A: $188,200 - $244,600
• Zone B: $167,200 - $217,300
• Zone C: $148,700 - $193,300
• Base salary may be accompanied by equity awards and participation in company incentive plans (e.g., annual discretionary bonuses or sales commissions)
• Final offer depends on geographic location and relevant experience, professional background, and skill set