1 day ago
Base Salary
$174k - $252k/yr
Responsibilities
- Build advanced classifiers and data pipelines for automated misuse evaluation and rapid model iteration.
- Develop cross-context monitoring and signal aggregation systems to identify coordinated harms and large-scale attack vectors.
- Implement semi-automated account-level response systems using production traffic signals to track and act against persistent malicious actors.
- Evaluate and secure agentic AI systems by creating threat models, testing environments, and mitigations for agentic hacking and long-horizon attacks.
- Advance automated red-teaming and adversarial robustness research using multi-turn and agentic attacks.
Requirements
- Bachelor’s degree or equivalent practical experience.
- Five years of experience with software development in one or more programming languages.
- Three years of experience testing, maintaining, or launching software products.
- One year of experience with software design and architecture.
- Preferred: master’s degree or PhD in Computer Science or a related technical field.
- Preferred: experience with LLM development, fine-tuning, or safety evaluation methodologies.
- Preferred: experience taking research from concept to product.
- Preferred: experience in Safety and Alignment.
Benefits
- US base pay is $174000–$252000, plus a 15% bonus target, equity, and benefits.
- Benefits information is available through Google.
Categories
AI ResearchML Engineering
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.