Research Scientist — Generative AI for Ads (Equity + Bonus)

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a Research Scientist in Mountain View to lead large-scale experiments, deploy promising ideas, and push the frontiers of machine learning and natural language processing. You will design architectures, prototype implementations, and deliver results that influence Google Ads and related products.

You will publish findings and collaborate with internal teams and partner universities, contributing to a broad research agenda and advancing core technologies used across Google’s

Qualifications

• PhD in Computer Science or a related field or equivalent practical experience.
• Experience with modern large language model post-training or core generative model development in industry AI labs.
• One or more scientific publication submissions to conferences, journals, or public repositories.

Responsibilities

• Author research papers to share and generate impact across the team and the research community.
• Help grow research business across teams by sharing research trends and best practices.
• Develop novel machine learning and large language modeling techniques for Google products.
• Post-train and finetune LLMs for large-scale retrieval and other Ads applications.
• Collaborate closely with researchers across Google and DeepMind.

Skills

LLM concepts

Research experimentation

Publication awareness

Collaboration across teams

Education

PhD in Computer Science or related field

Publication submissions in top ML venues

Job description

Google is seeking a Research Scientist in Mountain View to lead large-scale experiments, deploy promising ideas, and push the frontiers of machine learning and natural language processing. You will design architectures, prototype implementations, and deliver results that influence Google Ads and related products.

You will publish findings and collaborate with internal teams and partner universities, contributing to a broad research agenda and advancing core technologies used across Google’s