Google is looking to optimize value for advertisers, users, and Google through mechanism innovations in advertising. The goal is to improve auction systems and user-value landscapes to enhance long-term business outcomes.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in C++.
- 1 year of experience in experiment design.
- Master's degree or PhD in Computer Science, Mathematics or a related technical field.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience in code and system health, diagnosis and resolution, and software test engineering.
- Experience with auction theory.
Responsibilities
- Write analyses to test hypotheses about the user-value landscape and what improvements (e.g., new mechanisms or improvements to existing ones) might be appropriate.
- Implement and test mechanisms in the auction.
- Contribute in designing experiments to evaluate hypotheses, tease out and analyze effects on improving user and advertiser value, and document findings.
- Manage individual project priorities, deadlines and deliverables.
- Collaborate closely with auction research, ads prediction stack modeling, bidding, ads UI and targeting.
- Work on hypotheses about the way the world works, test them experimentally, and iterate to reach a more ideal state.
- Develop and test auction changes to optimize long-term business for Google.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science, Mathematics or a related technical field.
- Experience developing accessible technologies.
