Machine Learning Engineer III, Data
ACV · Buffalo, NY
$130,000–$173,000
Jul 1, 2026
Buffalo, NY
Jul 20, 2026
What this job asks for AI summary
A mid-to-senior machine learning engineering role focused on computer vision for automated vehicle damage detection. The work centers on building and training detection models, designing the serving infrastructure to run them at high throughput, and maintaining the data pipelines that feed them — all within a production environment processing large volumes of vehicle inspection images. Suits engineers with hands-on experience across the full ML lifecycle, from experimentation through cloud deployment.
Senior level · 3+ years · Remote · Full-time
Advertised as Mid, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
Posted 4 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 1,700 people nationally plausibly meet what this posting asks for (data scientists). range 1,000–3,000
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).
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 title 'Machine Learning Engineer III' maps to a numeric level III, which conventionally signals Senior; however, the required experience floor is only 3+ years of computer vision experience. The actual scope — end-to-end model lifecycle ownership, production infrastructure architecture, stakeholder translation — supports a Senior classification despite the relatively low stated minimum years.
SOC is a close call: the role is primarily about training and deploying ML/CV models (pointing to 15-2051 Data Scientists) but also involves substantial backend software engineering — microservices, streaming pipelines, cloud infrastructure — which pulls toward 15-1252 Software Developers. 15-2051 was chosen because model design, experimentation, and inference optimization are the stated core.
Degree requirement is listed as 'MS or PhD or equivalent work experience'; because equivalent experience is explicitly accepted, no formal degree is hard-gated.
PyTorch, OpenCV, and TensorFlow are listed together as interchangeable CV framework examples ('e.g., PyTorch, OpenCV, TensorFlow'); PyTorch is used as the primary name with the others as alternatives.
Kubeflow, Databricks, and KServe appear under Preferred Qualifications and are marked accordingly.
Compensation figures are referenced as appearing in a 'Job Details' section not included in this posting; no range could be extracted.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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