Staff Machine Learning Engineer, Vector Core Modeling
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About the role
We are looking for a Staff Machine Learning Engineer to join our Vector Core Modeling team. In this role, you will design and build scalable machine learning systems that power ad ranking in large-scale advertising platforms. As a key member of the Vector AI group, you will play a central role in driving Unity's ads engine. You will work with massive datasets and rich signals to develop the state-of-the-art ads models. These models serve as the core intelligence behind delivering the right ad to the right user at the right time, maximizing both user experience and advertiser outcomes.
Responsibilities
- Design, implement, and optimize the core ads models
- Build and enhance multi-objective ranking systems balancing retention, monetization, diversity, and user long-term value
- Solve cold-start problems for new users, new games, and new creatives
- Conduct offline evaluations and online A/B experiments to deliver measurable impact
- Partner closely with product, infrastructure, and monetization teams
- Continuously improve model quality, serving latency, and system scalability
Requirements
- Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems
- Strong software engineering skills in Python and experience with deep learning frameworks, preferably PyTorch
- Solid understanding of metric design, experimentation frameworks, and large-scale data analysis
- Proven ability to lead projects end-to-end and deliver measurable business impact
- You might also have
- Experience working with large datasets and distributed computing frameworks
- Experience building ads systems, content understanding, or behavior modeling systems
- Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security
- Additional information
- International relocation support is not available for this position
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