AI Engineer, Advanced Solutions Lab, Google Cloud
Google · Atlanta, GA
$152,000–$222,000from the description
Jul 13, 2026
Atlanta, GA
Jul 21, 2026
What this job asks for AI summary
This role sits within Google Cloud's Advanced Solutions Lab, where the primary work is delivering and continuously refining a machine learning and generative AI curriculum to enterprise customers. Day-to-day responsibilities include leading hands-on ML training programs, guiding customer projects from problem framing through implementation, and collaborating with Google researchers to keep course content current. It suits an experienced ML practitioner with a background in both production model development and client-facing technical instruction.
Senior level · 6+ years · Chicago, IL · Bachelor's required · Full-time
Advertised as Mid, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
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 130 people in the Chicago, IL area plausibly meet what this posting asks for (data scientists). range 95–200
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $110,007 (middle half $86,460–$141,249). 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 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting is open to three US locations — Chicago IL, Atlanta GA, and Austin TX — with Chicago listed first; the CBSA reflects Chicago as the primary listed location.
Google internally labels this role 'Mid Experience' in the posting header, but the actual requirements (6 years of coding experience, 3 years of production ML, client-facing consulting, cloud architecture) support a Senior classification.
The 6-year coding requirement is stated at the role level ('6 years of experience coding with one or more programming languages'); Python, Java, and C/C++ are listed as examples — Python is used as the primary skill name with the others as alternatives.
The 3-year ML/AI model-building requirement is tied to a specific set of frameworks (TensorFlow, Keras, JAX, Spark ML, Scikit-learn); TensorFlow is listed first and the others are captured as alternatives.
Client-facing technical training/consulting experience is a hard-required qualification but names no specific tool, so it is not emitted as a skill.
Apache Beam, Hadoop, Spark, and Hive appear only under Preferred qualifications (data warehousing knowledge); they are marked preferred accordingly.
Compensation is quoted as $152,000–$222,000/year plus a 15% bonus target and equity.
Read the full posting
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