Des Moines, IAremote

Salary
$118,000–$245,000from the description
Posted
Jul 17, 2026
Location
Des Moines, IA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A machine learning engineering role focused on building and shipping ML and AI systems for a product that matches employers with candidates. Day-to-day work spans taking models from prototype to production, improving automated outreach quality, developing agentic experiences, and maintaining LLMOps infrastructure. Suited to engineers with hands-on experience training and evaluating language models and familiarity with agent orchestration and LLM observability tooling.

Mid level · 2+ years · Remote · Bachelor's required · Full-time

Must have (5)
PythonSQLLLMsPyTorch, TensorFlow, Hugging Face or XgboostMLOps
Nice to have (2)
agent orchestration frameworksLLM observability tools

“or” means any one of them counts — you don't need all of them.

Posted 9 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

What won't set you apart
Python88%SQL72%

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 role is titled 'Machine Learning Engineer' with no seniority level in the title; the title states no level. The minimum experience gate is 2 years (or an advanced degree with no experience), placing actual requirements at the Mid level.

SOC classification is a genuine toss-up: the role centers on training, fine-tuning, and evaluating language models (pointing to 15-2051 Data Scientists), but also emphasizes production deployment, MLOps infrastructure, and software engineering practices (pointing to 15-1252 Software Developers). 15-2051 was chosen as primary given the heavy ML/LLM modeling emphasis.

Compensation is tiered by geography (Tier 1: $118K–$176K; Tier 2: $130K–$196K; Tier 3: $143K–$215K; Tier 5: $163K–$245K). The min and max across all tiers are reported here; Tier 4 has no listed range. Candidates should consult Indeed's pay tiers page for location-specific figures.

No specific work location is stated beyond 'United States of America'; the role does not appear to be advertised as fully remote, so remote is set to false. Candidates should confirm work location flexibility with the recruiter.

The degree requirement states 'Bachelor's degree … or an advanced degree without experience.' Because a degree is explicitly required (with no 'or equivalent experience' escape), the degree requirement is set to Bachelors (the minimum).

Agent orchestration frameworks and LLM observability tools appear under the Skills/Competencies section but are framed with 'Familiarity with' — a softer qualifier — so they are treated as preferred rather than hard gates.

The ML framework requirement ('Torch, Tensorflow, Huggingface, XGBoost, etc.') lists multiple interchangeable options; PyTorch is used as the primary name with the others captured as alternatives.

Read the full posting

The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.

Apply

Apply on employer site ↗