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© All Rights Reserved. ApplyBlast.com
eTags
The Machine Learning Engineer at Etag will work on challenging business problems, applying data and predictive analytics to improve profitability and decision making. The role involves designing, coding, and deploying scalable machine learning algorithms, collaborating with cross‑functional teams, and communicating technical concepts to non‑technical audiences.
Headquarters
Fort Lauderdale, Florida, United States
Company Size
11-50 employees
Founded
2014
eTags is an online vehicle services company that streamlines vehicle registration, title transfers, renewals, and related DMV paperwork. They let customers complete forms, pay fees, and submit documents securely online, often acting as an authorized partner to state motor vehicle agencies. eTags aims to save time and avoid DMV lines by handling compliance, processing, and mailing tasks across multiple U.S. states.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for eTags.
eTags didn’t post a salary, so this is our estimate from similar listings.
32% below the average for this role
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