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Software Engineer, Search Ads in AI Experiences

Mountain View, CA
Full-time
Onsite
$123K/yr - $174K/yr
Entry Level
Google develops large-scale technologies and products that help billions of users connect with and interact with information. The Software Engineer will build and maintain software for next-generation Search Ads in AI Experiences, including real-time offer verification, commercial fact-checking, ML feature pipelines, backend integrations, and multimodal ad rendering.
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Responsibilities

  • Write clean, highly efficient, and well-tested code in C++, Java, or Python to support real-time offer verification, commercial fact-checking pipelines, and inventory grounding
  • Participate in factuality quality hill-climbing sprints by evaluating automated LLM-as-a-Rater verification outputs, diagnosing offer mismatch discrepancies, and refining precision heuristics
  • Implement ML feature pipelines and backend integrations that empower Search, Assistant, and Gemini surfaces to accurately corroborate commercial claims against authoritative merchant feeds
  • Partner with executive corroboration modeling leads and cross-functional teammates to rapidly triage verification latency errors, optimize factual accuracy, and sustain high sprint development velocity
  • Architect Google's presentation and rendering pipelines to write code that enables Search, Assistant, and Gemini surfaces to render multi-modal ad formats, partnering with technical leads and multi-disciplinary mentors to directly improve visual ad quality and user delight

Qualification

Required

  • Bachelor's degree or equivalent practical experience
  • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
  • 1 year of experience with data structures and algorithms
  • 1 year of experience implementing core ML concepts
  • Experience integrating generative AI tools or LLM interfaces into workflows

Preferred

  • 1 year of software development experience working on high-throughput backend applications, information verification pipelines, or machine learning feature systems
  • Experience developing accessible technologies
  • Demonstrated proficiency in modern programming languages (C++, Java, or Python) and foundational understanding of commercial grounding, multi-modal AI systems, or online advertising platforms
  • Proven track record of proactive engineering teamwork, debugging habits, and executing iterative quality improvement cycles in changing software teams

Benefits

  • 15% bonus target
  • Equity
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
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