Senior Machine Learning Engineer
Indeed · Denver, CO
$138,000–$289,000from the description
Jul 9, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role focused on building and operating agentic AI products aimed at employers. Day-to-day work spans prompt engineering, LLM evaluation frameworks, production monitoring, and iterative A/B testing of ML systems. The position suits an experienced ML engineer with a track record of shipping large-scale LLM-based solutions who is also comfortable mentoring teammates and communicating across product and engineering functions.
Senior level · 5+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 6 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 9,000 people nationally plausibly meet what this posting asks for (data scientists). range 1,850–13,500
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 (8)
The role sits at the intersection of ML research/modeling (15-2051) and production software engineering (15-1252); the emphasis on deploying LLM-based systems at scale, LLMOps, and agentic infrastructure gives it a strong engineering flavor, but the core deliverables — model improvements, evaluation, experimentation — align more closely with Data Scientists / ML Engineers.
Compensation is quoted across five geographic pay tiers ranging from $138,000–$208,000 (Tier 1) to $193,000–$289,000 (Tier 5); the min/max fields reflect the full span across all tiers. Actual offer depends on location tier and interview evaluation.
The degree requirement is effectively None: the JD explicitly accepts a Bachelor's + 5 years, a Master's + 3 years, or a PhD with no experience — equivalent combinations of experience and education are also welcomed.
No specific work location is stated; the role appears to be remote-eligible across the US based on the geographic pay tier structure and the absence of any office requirement.
Agent orchestration frameworks, LLM observability tools, and prompt optimization techniques (e.g. GEPA) are listed under the main Skills/Competencies section with 'Familiarity with' language, which is softer than a hard gate — however, given their placement in the primary requirements block alongside other must-have skills, they are treated as required. The 'Familiarity with' qualifier is noted here for the hiring manager's awareness.
Deep Learning libraries (PyTorch, TensorFlow) are listed with 'like … etc.' substitution language; PyTorch is named as the primary with TensorFlow as the named alternative.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML system design.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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