6 hours ago
Base Salary
$207k - $300k/yr
Responsibilities
- Design, prototype, and scale engineering solutions for Responsible AI research priorities.
- Run rigorous experiments and work with Research Scientists to advance Responsible AI.
- Establish best practices for code quality, scalability, and system design as a technical anchor.
- Present engineering trade-offs and research results to cross-functional stakeholders and leadership.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience.
- 8 years of experience in machine learning engineering or large-scale software systems.
- 3 years of experience with Python.
- 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.
- Preferred qualifications include a master’s degree or PhD focused on Machine Learning.
- Preferred experience includes AI safety or responsible AI research, Python and C++ for high-performance ML library development, harmful manipulation or deceptive behavior analysis, AI safety evaluation and mitigation, and evaluation frameworks or automated testing pipelines for ML models.
Benefits
- 20% bonus target, equity, and benefits are provided in addition to base pay.
- US base salary is listed for the role; individual pay depends on skills, experience, education, and training.
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.