Senior Software Engineer, AI/ML, Ads and Commerce at Google
Mountain View, CA
$174,000–$252,000from the description
Jul 27, 2026
Mountain View, CA
Jul 29, 2026
What this job asks for AI summary
A Senior Software Engineer role on Google's Ads and Commerce team, focused on building AI/ML-powered features for sellers using technologies such as Gemini and Retrieval Augmented Generation. The work involves designing and shipping ML infrastructure, scalable data pipelines, and real-time APIs, with a strong emphasis on generative AI. Suits an experienced engineer with deep ML infrastructure knowledge and hands-on generative AI exposure.
Senior level · 5+ years · San Jose-Sunnyvale-Santa Clara, CA · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 810 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 610–1,050
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $217,796 (middle half $177,469–$231,052). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (8)
The posting's title says 'Senior' but Google's own framing labels this 'Mid Experience' — the requirements (5 years software development, 3 years ML infrastructure) are consistent with a Senior individual contributor, so seniority is set to Senior.
The minimum qualifications require 3 years in one or more of: speech/audio, reinforcement learning, ML infrastructure, or another ML specialization — these are listed as alternatives to each other, so only ML infrastructure (the most concrete named technology) is captured as a single required skill with alternatives implied by the 'or' framing.
Generative AI is listed as a standalone required qualification with no years specified.
SQL, Boq, Dart, and F1 appear together under Preferred qualifications with '1 year of experience' — they are listed as a group but represent distinct tools, so each is captured separately as preferred.
RAG, Gemini, AI Platform, and Google Infrastructure appear under Preferred qualifications; 'Google Infrastructure' is too generic to emit as a named skill and is omitted.
The degree requirement is None because the minimum qualification states 'Bachelor's degree or equivalent practical experience'; a Master's/PhD is only preferred.
Compensation is stated as $174,000–$252,000/year plus a 15% bonus target and equity, which are noted here but cannot be represented in the compensation fields.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): software development.
Read the full posting
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