ML Solution Architect (Early Talent) at Jobgether
$102–$126from the description
Jul 16, 2026
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Jul 21, 2026
What this job asks for AI summary
A paid three-month remote contract aimed at early-career engineers, this role involves building and testing LLM-based applications, assisting with prompt engineering, model benchmarking, and inference optimization, and contributing to internal tooling and automation. Work spans generative AI across text, vision, and audio modalities. Strong performers may be considered for a permanent Solutions Architect position afterward.
Junior level · Remote · Contract
“or” means any one of them counts — you don't need all of them.
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 1,450 people nationally plausibly meet what this posting asks for (data scientists). range 870–2,150
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
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 figure ('$102–$126 USD') is stated without a clear period (hourly, monthly, or annual). Given the 3-month contract context and the magnitude of the numbers, this is most likely an hourly rate, but the posting does not explicitly say so — reported as Unspecified.
The degree requirement lists BSc/MSc/PhD but frames it as 'currently pursuing or recently completed,' which is characteristic of an early-talent/internship program rather than a hard gate; treated as None accordingly.
vLLM, SGLang, and TensorRT-LLM are grouped as a single interchangeable requirement listed under 'a plus' — captured as a single preferred skill with alternatives.
Docker, Kubernetes, Git, APIs, cloud platforms, and MLOps tools are all listed together under 'a plus' in the requirements section — treated as preferred.
SOC classification is Medium confidence: the role centers on ML/generative AI experimentation and LLM solution design (pointing to 15-2051 Data Scientists), but the emphasis on building and deploying LLM-powered applications and software solutions also fits 15-1252 Software Developers.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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