Staff Research Data Scientist - AI Data for LLMs

Google Inc.

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Equity
Bonus target

Job summary

Google is at the core of the AI revolution, driving high-quality data for the most advanced Large Language Models. You will partner with world-class researchers and engineers to define data excellence and make a tangible impact on intelligent systems. Personal growth and a competitive compensation package are part of the role.

Individual pay is determined by job-related skills, experience, and relevant education or training, with an emphasis on equity and performance bonuses.

Qualifications

  • Master's degree or PhD in a quantitative field with relevant analytics experience.
  • 8 years of analytics solving product or business problems, or 6 years with a PhD.

Responsibilities

  • Be a distinct contributor, focusing on Human Data Collection for LLMs and address complex data science problems.
  • Design and deploy data acquisition and quality improvement techniques for foundational models.
  • Use AI models and tools to evaluate, synthesize, and understand complex datasets.
  • Collaborate with Research, Engineering and Product teams (Cloud AI Data and DeepMind).
  • Develop methods to improve model performance through better training data and insights.

Skills

Analytics
Python
R
SQL
Statistics
Data querying

Education

Master's degree (Statistics/Data Science/Math/Engineering/related quantitative field)

Tools

Python
R
SQL

Job description

Google is at the core of the AI revolution, driving high-quality data for the most advanced Large Language Models. You will partner with world-class researchers and engineers to define data excellence and make a tangible impact on intelligent systems. Personal growth and a competitive compensation package are part of the role.

Individual pay is determined by job-related skills, experience, and relevant education or training, with an emphasis on equity and performance bonuses.

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