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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- Experience in software development using C .
- Experience in conducting quantitative data analysis, statistical modeling, and interpreting datasets.
- Experience in mathematical optimization, and statistical learning.
Preferred qualifications: - Experience in system design, including defining technical architecture, system interfaces, and data models.
- Experience in programming languages used for data analysis and computational statistics (e.g., Python, R, MATLAB, C , Java, or Go).
- Experience with Colab, SQL, and other data analysis tools.
- Experience working with one or more of the following: distributed and parallel systems, machine learning models, information retrieval, and mathematical optimization techniques including linear programming, convex optimization, or reinforcement learning.
- Strong quantitative reasoning skills, demonstrated in a mathematical field such as data science, optimization, machine learning, or natural science.
About the jobGoogle Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Improve the accuracy and stability of the UAC bidder with statistical analysis and new ML/optimization algorithms. Improve/modernize bidding infrastructure and design and implement bidding algorithms for faster cold start for new campaigns.
- Debug inaccuracies in bidding infrastructure and suggest improvements and launch with design, implementation, experimentation and analysis.
- Incorporate and engineer input features from ad creatives, publisher pages/content, as well as users' personalized ad history to improve bidding and modeling accuracy.
- Improve the efficiency and reliability of ML models by designing novel model architectures and adopting robust development and release processes. Debug and troubleshoot complex interactions between business goals, mathematical models, and infrastructure.
- Work with PM, UX, and partners teams to design and deliver new ad experiences. Leverage data and metrics to help evaluate product success and drive business decisions.
