Staff Machine Learning Engineer at Indeed
$163,000–$341,000from the description
Jul 7, 2026
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Jul 21, 2026
What this job asks for AI summary
A staff-level technical lead role on a team building AI-driven tools for employers, focused on agentic systems, large language model evaluation, and LLMOps infrastructure. Day-to-day work spans data exploration, developing and scaling machine learning models to production, running A/B experiments, and setting technical direction. The role also involves mentoring engineers and collaborating across functions to shape product and research priorities.
Staff level · 8+ years · Remote · 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 2,500 people nationally plausibly meet what this posting asks for (data scientists). range 1,500–3,750
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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The compensation range spans five geographic pay tiers: Tier 1 $163,000–$245,000, Tier 2 $182,000–$272,000, Tier 3 $199,000–$299,000, Tier 4 N/A, and Tier 5 $227,000–$341,000 USD per year. The min and max reported here reflect the lowest floor (Tier 1) and highest ceiling (Tier 5) across all tiers.
The degree requirement is stated as a hard gate with three acceptable paths: Bachelor's + 8 years, Master's + 6 years, or PhD + 3 years. The minimum degree (Bachelor's) is reported; the overall years minimum reflects the 8-year path.
Agent orchestration frameworks, LLM observability tools, and prompt optimization (e.g. GEPA) are listed under the 'Who we are' requirements section but framed with 'familiarity with' — a softer qualifier — so they are treated as preferred rather than hard gates.
A/B testing and LLMOps appear in the narrative 'Who you are' responsibilities section rather than a formal requirements block, so they are treated as preferred.
SOC classification is Medium confidence: the role is primarily ML/AI modeling and agentic system development (15-2051 Data Scientists), but the emphasis on large-scale production systems and software engineering could also support 15-1252 Software Developers.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): prompt optimization.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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