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Full-time

Staff Research Data Scientist, AI Data Intelligence

Google · Mountain View, CA

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About the Job

  • Be a distinct contributor, with a particular focus on Human Data Collection for Large Language Models (LLMs) and address complex data science problems.
  • Design and deploy 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.
  • Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams (Cloud AI Data and Google DeepMind).
  • Develop new methodologies to improve the performance of Google's models through better training data, including data collection, and insights.

Minimum qualifications

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.

Preferred qualifications

  • 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.

Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models. We are the driving team behind high-quality data – the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with the most resourceful minds, define data excellence, and make a tangible impact on the future of intelligent systems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Learn more about benefits at Google.

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.

Compensation: US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Posted

Yesterday

Job Type

Full-time

Salary

$207,000 – $300,000 USD

Location

  • Mountain View, CA