Staff Machine Learning Engineer, Vector Bidding Science
About The Position
We are looking for Staff Machine Learning Engineers 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.
Requirements
- Hands-on experience on 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
- 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 landscape
- Sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Nice To Haves
- 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
Responsibilities
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
