Machine Learning Engineer II at Indeed
$138,000–$289,000from the description
Jul 19, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior-level role focused on building large-scale job-to-candidate matching systems using machine learning and generative AI. Day-to-day work spans data exploration, model development and optimization, production deployment, and iterative A/B testing. The position also involves mentoring teammates, breaking ML initiatives into incremental deliverables, and representing the company at major research conferences.
Senior level · 5+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 12 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 12,100 people nationally plausibly meet what this posting asks for (data scientists). range 7,300–18,100
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The compensation range spans five geographic pay tiers ($138K–$208K at Tier 1 up to $193K–$289K at Tier 5); the min/max reported here reflect the full national spread across all tiers.
The degree requirement is stated as a hard gate with specific alternatives: Bachelor's + 5 years, Master's + 3 years, or PhD with no experience. 'Bachelors' is set as the minimum formal degree, but equivalent experience is NOT accepted in lieu — the JD requires a degree at every path.
The role sits at the boundary between Data Scientist (ML modeling, experimentation, predictive models) and Software Developer (large-scale production deployment, scalable systems). Data Scientist is chosen as primary given the explicit ML modeling, experimentation, and research conference representation emphasis.
Recommendation systems and A/B testing appear in the 'Who you are' narrative/responsibilities section rather than a formal requirements block, so they are marked preferred.
Generative AI ('genAI capabilities') is mentioned in the role description as a responsibility area but is not listed as a hard-gated skill in the requirements section.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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