Google is looking to solve challenging data science problems related to AI models evaluation and training, and improve the performance of Google's models through better training data.
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
- Coding (e.g., Python, R, SQL)
- Querying databases or statistical analysis
Responsibilities
- Solve challenging data science problems related to AI models evaluation and training.
- Contribute to the design and implementation of novel data acquisition and quality improvement techniques for foundational models.
- Utilize AI models and tools as integral components for evaluating, synthesizing, and understanding complex datasets.
- Contribute to new methodologies to improve the performance of Google's models through better training data, including data acquisition and insights.
Other
- Master's degree in a related quantitative field.
- 3 years of work experience
- 5 years of work experience
- Disability or special need that requires accommodation
