- Location
- Mountain View, CA, United States · Onsite
- Compensation
- $174,000 - $252,000 USD annually
- Employment
- Not stated
- Experience level
- SENIOR (5+ years exp)
- Specialization
- Software Engineer, Google
- Source
Role Overview
We are leveraging the foundational capabilities of Large Language Model (LLMs) to revolutionize Search—enabling users to easily ask contextual questions and provide high-quality AI answers. As part of the team, our mission is to make Google Search more helpful by seamlessly answering questions based on users' context. By providing new ways to ask questions, we create new moments to search.
Responsibilities
- 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.
- Drive modeling work to bring LLM to Search, developing evaluation pipelines, core infrastructure/system architecture.
Requirements & Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 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 techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 1 year of experience in a technical leadership role.
- Experience developing and maintaining automated LLM evaluation pipelines (e.g., autoraters, LLM-as-a-judge, benchmark test harnesses, synthetic data generation).
Application Instructions
Apply directly on Google Careers at Senior Software Engineer, Multimodal Search Quality.
Direct application sign-in: Submit Application
Note: In most instances, this position requires in-person interviews as part of the hiring process.