Staff Research Scientist, Google Ads GenAI

Google LLC

Mountain View, CA

JOB DETAILS
SALARY
$197,000–$291,000 Per Year
SKILLS
Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Blog, Cloud Computing, Computer Science, Conferences, Construction Engineering, Consulting, Data Processing, Delivery Management, Electrical Engineering, English Language, Equal Employment Opportunity (EEO), Genetics, Google Apps, Google Search Engine, Government, Investor Relations, Japanese Language, Machine Learning, Modeling Languages, Natural Language Processing (NLP), Network Operations Center, Operations Management, Process Engineering, Process Improvement, Project Management Software, Project/Program Management, Publications, Python Programming/Scripting Language, Quality Management, Quantitative Research, Recruiting/Staffing Agency, Regulatory Requirements, Reinforcement Learning, Research Skills, Revenue Management, Scientific Publications, Scientific Research, Software Engineering, Supply Chain, Talent Management, Team Player, Technical Leadership, Technical Support, Technical/Engineering Design, Time Management, User Experience Design (UXD), User Interface/Experience (UI/UX)
LOCATION
Mountain View, CA
POSTED
30+ days ago

Staff Research Scientist Google Ads GenAI

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Staff Research Scientist Google Ads GenAI

Job Title: Staff Research Scientist Google Ads GenAI

Location: Mountain View, CA, USA or Los Angeles, CA, USA

Job Type: Full-time

About the Job:

As a Research Scientist, you will setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. You will also actively contribute to the wider research community by sharing and publishing your findings with ideas inspired by internal projects, as well as from collaborations with research programs at partner universities and technical institutes all over the world.

About the Team:

The Ads Generative AI Gen AI team develops ML models to show high-quality ads that power the free internet for everyone. In particular, the team works on adapting Gemini models for various ads tasks through automated prompt engineering, fine-tuning, and reinforcement learning.

Responsibilities:

  • Develop novel ML modeling techniques that influence products
  • Work with and fine-tune LLMs for targeting large-scale retrieval, pseudo-rater, and other ads applications
  • Work with researchers and engineers in Google DeepMind and Search
  • Work with product teams to develop and deploy user-facing products
  • Publish papers at leading ML conferences

Requirements:

  • PhD degree in Computer Science or a related field or equivalent practical experience
  • 4 years of experience with research agendas across multiple teams or projects
  • Experience in one or more areas of machine learning, such as large language models, natural language processing, or large-scale data processing
  • One or more scientific publication submissions for conferences, journals, or public repositories

Preferred Qualifications:

  • Experience in deploying ML models in production
  • Experience in ads or search quality research
  • Experience coding in Python
  • Experience in generative AI and large language model research

What We Offer:

  • Competitive salary range of $197,000 - $291,000
  • Bonus, equity, and benefits
  • Opportunity to work on real-world problems that span the breadth of computer science
  • Collaborative and dynamic work environment
  • Professional development opportunities

How to Apply:

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies, Google does not accept agency resumes. Please do not forward resumes to our jobs alias or Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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About the Company

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