Director of Machine Learning & Artificial Intelligence
Domino's · Ann Arbor, MI
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Jun 30, 2026
Ann Arbor, MI
Jul 20, 2026
What this job asks for AI summary
Principal level · 12+ years · Ann Arbor, MI · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 1 people in the Ann Arbor, MI area plausibly meet what this posting asks for (computer and information systems managers). range 1–3
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $174,965 (middle half $142,568–$209,712).
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 role is Director-level with explicit people management responsibilities (hiring, org design, budget ownership) across an enterprise ML & AI Center of Excellence, making 11-3021 the primary SOC. However, the JD emphasizes deep hands-on technical fluency and 'rolling up sleeves', so 15-2051 is a meaningful runner-up.
Location is inferred as Ann Arbor, MI (Domino's World Resource Center HQ in Ann Arbor); no explicit city is stated in the posting.
The degree requirement states 'Bachelor's or Master's degree' — Bachelor's is the stated minimum hard gate. A PhD is listed under Preferred.
The 12+ years overall experience requirement includes a sub-requirement of 5+ years in a senior leadership role; the 5-year leadership sub-requirement is captured in the overall years minimum context but the role-level gate is 12 years.
LLaMA and Phi appear as illustrative examples of open-source/proprietary models to evaluate; they are listed under required qualifications context but as examples ('e.g.'), so LLaMA is emitted as preferred with Phi as an alternative rather than hard gates on specific model families.
No compensation figures are provided in the posting.
multi-agent systems (MCP, A2A) is listed in the required qualifications section with firm language ('Hands-on experience with'); MCP and A2A are protocol/framework names for agentic systems and are captured under the broader 'multi-agent systems' skill.
Read the full posting
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