Senior AI Research Scientist — Causal NLP & Impact

Google; Kirkland (WA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a Research Scientist to drive large-scale AI research, experiment design, and deployment of ideas across core products. You will setup experiments, apply cutting-edge theories, and contribute to real-world problems in machine learning, NLP, data mining, and AI safety.

You will publish findings and collaborate with universities and partner institutes, influencing product decisions and research directions across Google’s ecosystem.

Qualifications

• PhD degree in Economics, Computer Science, Machine Learning, or related field.
• 2 years of experience leading a research agenda.
• Publications in economics or AI journals/conferences (e.g., ICSE, FSE).

Responsibilities

• Turn nebulous socio-technical AI impact questions into concrete, validated measurement strategies.
• Apply causal frameworks (e.g., diff-in-diff, IV, RDD, synthetic controls) to understand AI impact from data.
• Advise Product areas on data-driven system improvements for AI in software development and product strategy.
• Mentor junior quantitative researchers and data scientists, promoting reproducibility and best practices.

Skills

NLP/LLM frameworks

Python

Causal inference

ML research methods

Data analysis

Education

PhD in Economics/CS/ML or related

Tools

Job description

Google is seeking a Research Scientist to drive large-scale AI research, experiment design, and deployment of ideas across core products. You will setup experiments, apply cutting-edge theories, and contribute to real-world problems in machine learning, NLP, data mining, and AI safety.

You will publish findings and collaborate with universities and partner institutes, influencing product decisions and research directions across Google’s ecosystem.