logo

AI Job Summary

Design and launch generative AI systems for retail ads, solving open-ended problems in real-time ad personalization and format composition. Lead technical strategy and architecture across multi-quarter, cross-team initiatives while partnering with Ads Quality, Commerce, and Search teams. Requires 8 years of software development, 5 years designing systems architecture, 8 years with ML/AI and deep learning, 7 years leading ML infrastructure and technical projects, and 2 years with generative AI applications like LLMs.

Written from this posting by Neural Jobs AI. The full description is below.

AI Resume Tailoring Sign in to use this AI Cover Letter Sign in to use this

Job Description

  • Address open-ended problems at the frontier of Generative AI and retail ad products — such as how to dynamically compose and personalize ad formats in real time to better serve complex queries and mixed intents.
  • Influence organization strategy and prioritization by identifying key areas worth investing in and defining the technical roadmap. Co-define product strategy with cross-functional leadership.
  • Work closely with Ads Quality, Commerce, and Search stakeholders across the board. Build deep cross-product area partnerships. Optimize the retail ad products ecosystem end-to-end and optimize the whole page layouts.
  • Own the holistic technical architecture. Manage complex, multi-quarter, cross-team initiatives from design through launch; proactively diagnose and resolve cross-system bottlenecks; raise the bar on engineering excellence, experimentation velocity, and production reliability.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
  • 8 years of experience testing, maintaining, or launching software products, and 5 years of experience with software design and architecture.
  • 8 years of experience with ML/AI algorithms and tools, deep learning or other modeling.
  • 7 years of experience leading technical project strategy, ML design, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with GenAI (e.g., LLMs, multi-modal, vision models, language modeling, computer vision).

Preferred qualifications:

  • PhD in Computer Science, Statistics, or related fields.
  • Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
  • Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
  • Deep familiarity with the Search/Shopping/Ads stack, and solid understanding of ML and AI concepts with direct experience applying LLMs in user-facing products.
  • Excellent programming skills leveraging GenAI tools, and a strong mindset with extensive experience navigating data-driven decision-making and driving cross-functional alignments.
  • Strong mathematical skills with knowledge of statistical methods.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
  • 8 years of experience testing, maintaining, or launching software products, and 5 years of experience with software design and architecture.
  • 8 years of experience with ML/AI algorithms and tools, deep learning or other modeling.
  • 7 years of experience leading technical project strategy, ML design, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with GenAI (e.g., LLMs, multi-modal, vision models, language modeling, computer vision).
Do you match this job?

Here is what this employer asked for. Sign in and we will fill in your half.

  • Role Senior Staff Software Engineer, Generative Retail Ad Formats and LLM Applications
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
Check my match (free)
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

143 more Software Engineer roles in Mountain View

Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 week ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

Share This Job: