23 hours ago
Base Salary
$174k - $252k/yr
Responsibilities
- Apply AI, machine learning, and LLMs to optimize the YouTube Ads marketplace.
- Develop sequence- and graph-based AI models to improve ads optimization.
- Develop distributed data-processing pipelines for large-scale ads data.
- Develop and connect serving components within the advertising stack.
- Analyze and optimize the YouTube Ads ecosystem and serving stack.
- Build recommendation systems using sequence modeling, graph neural networks, and related algorithms to predict user interest in ads.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 5 years of software development experience in one or more programming languages.
- 3 years of end-to-end machine learning experience, including model deployment, model evaluation, data processing, and debugging.
- Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
- Experience applying machine learning techniques to build predictive models.
- Experience building and deploying production recommendation system models for retrieval, prediction, ranking, personalization, search quality, or embeddings.
- Preferred: Master’s degree or PhD in Computer Science or a related technical field.
- Preferred: 1 year of experience in a technical leadership role.
- Preferred: experience with graph algorithms, graph mining, analytical reasoning in software engineering, accessible technologies, and ads experimentation and analysis.
Benefits
- Equity and company benefits are provided.
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.