8 hours ago
Base Salary
$174k - $252k/yr
Responsibilities
- Build real-time infrastructure and representations of user-viewed content for personalization models.
- Write and test product or system development code.
- Participate in or lead design reviews and evaluate technology choices.
- Review code and provide feedback on style, accuracy, testability, and efficiency.
- Maintain documentation and educational content based on product updates and user feedback.
- Collaborate with modeling and infrastructure teams across Google Ads.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 5 years of experience programming in Python or C++.
- At least 3 years of experience testing, maintaining, or launching software products and 1 year of experience with software design and architecture.
- At least 2 years of experience with ML infrastructure, including model deployment, model evaluation, data processing, or debugging.
- At least 2 years of experience with large language models, multimodal models, or large vision models.
- Preferred qualifications include a master’s degree or PhD in Computer Science or a related technical field.
- Preferred qualifications include experience with data structures and algorithms, complex matrixed organizations, cross-functional projects, technical leadership, and machine learning algorithms for personalization, ranking, and content recommendation.
Benefits
- US base salary is $174000 - $252000, plus a 15% bonus target, equity, and benefits.
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.