Senior Machine Learning Engineer at Revecore
Franklin, TN
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Jul 6, 2026
Franklin, TN
Jul 20, 2026
What this job asks for AI summary
A senior individual-contributor role focused on building and shipping production machine learning systems for a healthcare revenue-cycle company. The work centers on ranking and prioritizing insurance claims by expected recovery value and improving claim-remit matching, with full ownership from model development through cloud deployment and ongoing evaluation. Strong Python and scikit-learn experience is expected; NLP, Spark, and cloud MLOps familiarity are a bonus.
Senior level · 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 8,600 people nationally plausibly meet what this posting asks for (data scientists). range 5,200–12,900
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).
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 is titled 'Senior Machine Learning Engineer' but explicitly called out as an individual contributor. The primary day-to-day work is end-to-end ML model development, training, and deployment — placing it squarely in Data Scientists (15-2051), though the strong software engineering emphasis (production deployment, MLOps, pull requests) makes Software Developers (15-1252) a credible runner-up.
A bachelor's degree in a 'data-centric field' is listed under the required qualifications section and is treated as a hard requirement. A master's or Ph.D. is listed under the 'It would also be great if you have' section and is therefore preferred only.
No total years of experience are explicitly stated at the role level — only that the candidate should have 'experience working in a similar role, with a focus on machine learning or data science' and 'experience developing and deploying machine learning models in a production environment', which are qualitative gates rather than a specific year count.
TensorFlow and PyTorch are explicitly called 'a plus' in the required section, so they are marked preferred. They are listed as alternatives to each other since the posting treats them interchangeably.
NLP techniques and Hugging Face appear together under the 'It would also be great if you have' section and are marked preferred. They are kept as separate skills because they are distinct tools/capabilities.
Cloud platform experience (AWS, GCP, Azure) appears under the preferred section framed as 'e.g.' examples; AWS is used as the primary name with GCP and Azure as alternatives.
The role is fully remote but restricted to residents of a specific list of US states; no single metro applies.
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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