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Job Description

  • Drive the technical outlook of the ASKIE strategy, ensuring alignment with Google-wide goals, and making agentic software development a reality at Google-scale. 
  • Create and evaluate the safety guardrails that enable Google to rapidly adopt GenAI for a broad range of Software Development without the risk of IP exfiltration, system outages, or dilution in code quality. 
  • Set standards for measurement and telemetry of data across various aspects of the SDLC, and influencing Finance and other stakeholders across the company on measuring the efficacy of AI adoption.
  • Collaborate with senior leaders across Core and Google to discover new opportunities and best practices for applying GenAI technologies.
  • Represent Google in various academic and industry forums, raising the bar industry-wide for transforming software development through AI. 

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.
  • 15 years of experience as a software engineer or research scientist.
  • Experience with large-scale Machine Learning infrastructure, ML or AI for products, or related fields.

Preferred qualifications:

  • Advanced degree in Engineering, Computer Science, or Mathematics.
  • Experience in software engineering research, particularly using AI/ML.
  • Experience delivering complex projects with a bias to action and motivating others at all levels by creating a shared outlook and purpose.
  • Blend of GenAI at model layer and large-scale software development experience with expertise across Research and Applied ML for code domain.
  • Understanding of computing, data centers, enterprise software, and hardware infrastructure.
  • High-degree of cross-organizational collaboration and coordination in a rapidly evolving space like GenAI.
  • Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.
  • 15 years of experience as a software engineer or research scientist.
  • Experience with large-scale Machine Learning infrastructure, ML or AI for products, or related fields.
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  • Role Principal Engineer, AI Systems Knowledge and Intelligence Engine
  • Experience 8-9 years
  • Education Any
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google
Job Overview

Approx. salary range

191K – 269K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 29 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
5 days ago
Job Type
Full Time
Education
Any
Experience
8-9 years

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