Software Engineer

About The Job

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Software Engineers on the App Ads Bidding and Optimization team work on state-of-the-art AI and machine learning models to power a multi-billion dollar global business. This role directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment.

Key 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 partner teams to design and deliver new ad experiences.
• Leverage data and metrics to help evaluate product success and drive business decisions.

Requirements & Tech Stack

• Software development using C++.
• Experience in conducting quantitative data analysis, statistical modeling, and interpreting datasets.
• Experience in mathematical optimization, and statistical learning.
• 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.

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 system design, including defining technical architecture, system interfaces, and data models.