Indeed - Distinguished Engineer, AI at Phenom People
Denver, CO
$230,000–$481,000from the description
Aug 17, 2026
Denver, CO
Aug 20, 2026
What this job asks for AI summary
A Distinguished Engineer, AI role at Indeed focused on setting technical direction for the company's AI platform and AI-powered products at global scale. The position spans AI infrastructure, ML ops, model evaluation and fine-tuning, safety, and responsible AI governance, with influence across hundreds of engineers. It suits a deeply experienced AI/ML practitioner who has shipped production systems and can translate technical strategy to executive audiences.
Principal level · 10+ years · Remote · Full-time
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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 2,100 people nationally plausibly meet what this posting asks for (data scientists). range 890–3,150
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 $122,874 (middle half $87,544–$162,374). 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 Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (4)
The posting lists multiple geographic pay tiers rather than a single range: Tier 1 $230K–$346K, Tier 2 $255K–$383K, Tier 3 $282K–$424K, Tier 5 $321K–$481K (Tier 4 is N/A). The min and max here reflect the full span across all tiers; the actual offer depends on work location.
No specific work location is stated — the role appears to be remote-eligible across the US, with compensation adjusted by geographic tier.
The degree requirement is listed as a graduate degree in CS, ML, or Statistics, but the posting explicitly accepts 'equivalent industry experience' as a substitute, so no hard degree gate is set.
The skills list is sparse because the posting is written at a strategic/architectural level and names very few concrete technologies. MLops, feature stores, and model management are mentioned in the responsibilities narrative rather than a formal requirements section, so they are marked as preferred.
Read the full posting
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