Software Engineer, App Ads Bidding and Optimization
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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 job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google 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.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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