8 hours ago
Base Salary
$174k - $252k/yr
Responsibilities
- Build cybersecurity datasets, training recipes, benchmarks, and evaluation platforms for vulnerability discovery and fixing.
- Create reinforcement-learning environments and supervised fine-tuning data and iterate on post-training recipes.
- Integrate novel machine-learning and agentic techniques into research prototypes.
- Build evaluation pipelines, benchmarks, and leaderboards to measure agent performance.
- Optimize serving performance, latency, and resource utilization for large models.
- Collaborate across organizations and contribute to research-focused software engineering projects.
Requirements
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- At least 5 years of experience with large language models, including pre-training or fine-tuning.
- Preferred: experience with cybersecurity, especially application security and vulnerability research.
- Preferred: experience running large-scale data processing pipelines.
- Preferred: experience collaborating on or leading applied research projects.
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.