US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications
Master's degree or PhD in Computer Science or related technical field.
5 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
5 years of experience with data structures and algorithms in either an academic or industry setting.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
3 years of experience with ML/AI algorithms and tools, deep learning or natural language processing.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
