About the job
This summer, you'll join one of Unity's most consequential teams — Vector AI — as a Research Science Intern. This organization drives how ads are delivered, measured, and optimized across Unity's advertising platform. You'll work alongside engineers, scientists, and product managers on high-impact problems at the intersection of machine learning, optimization, and causal inference — in large-scale, real-world systems where your research will have direct influence on campaign performance and advertiser outcomes.
Responsibilities
Design and run experiments to improve ad performance, efficiency, and measurement quality.
Develop scalable models and algorithms targeting bidding strategy, auction dynamics, and user value estimation.
Partner with engineering to bring research ideas into production systems.
Analyze large datasets using advanced statistical and machine learning methods.
Communicate findings clearly to a range of technical and non-technical stakeholders.
Qualifications
Minimum
Academic background in machine learning, optimization, statistics, or econometrics.
Fluency working with large datasets using tools such as Python, R, SQL, or Spark.
Strong written and verbal communication skills — able to make complex ideas accessible.
A track record of rigorous, high-quality research.
Preferred
Experience or coursework in advertising, marketplaces, or recommendation systems.
Familiarity with causal inference methods such as A/B testing or uplift modeling.
Genuine curiosity about applied research and the drive to see ideas through to impact.