July 5, 2025

Principal Engineer, Generalized User Feedback System

Senior • On-site

$294,000 - $414,000/yr

Mountain View, CA

Minimum qualifications:

  • Bachelor's degree in Computer Science, Electrical Engineering, a similar technical field, or equivalent practical experience
  • 15 years of software engineering experience or 13 years with an advanced degree
  • Experience in GenAI, User-feedback, Language Modeling, Recommender Systems, Personalization, Machine Learning Infrastructure, RL, or RM systems
  • Experience with deep learning frameworks and ML in Python

Preferred qualifications:

  • Advanced degree in Computer Science, Electrical Engineering, or a similar technical field
  • 20 years of professional software engineering experience
  • Experience with cross-organizational collaboration and influencing other teams' directions and roadmaps
  • Experience delivering successfully within time-sensitive timelines
  • Technical expertise, with the ability to solve complex engineering problems
  • Excellent organization, prioritization skills; written and verbal communication skills; and analytical and problem solving skills

About the job

Advancements in artificial intelligence are enabling us to transform Search again. We're going far beyond the search box to create search experiences that work like our minds, and that are as multidimensional as we are as people. Our newest AI technologies are creating entirely new ways to engage with information, from language and images to video and audio. And now, with the power of generative AI, we’re ushering in the next evolution of Search, unlocking entirely new types of questions you never thought Search could answer, and transforming the way information is organized.

As a Principal Engineer, you will focus on the Generalized User Feedback System. You will be responsible for developing a ground up User and AI flywheel to support Search's AI evolution. The effort includes creating an end-to-end solution for implicit and explicit feedback, including support for experimentation, active feedback requisition, evaluations and metrics, and generalized RM/RL solutions.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Extract and develop continuous and clean user-feedback signals.
  • Support the incorporation of user-feedback into the Core Modeling systems.
  • Develop LE and experimentation systems that allow for the automated feedback systems to be trusted.
  • Drive quality hill-climbing outcomes with impact on product metrics of Helpfulness, Factuality, and Trust.
  • Develop novel Reinforcement Learning mechanisms (with partner teams), including the incorporation of implicit and explicit feedback into this area and Reward Models.