Senior Machine Learning Engineer – Computer Vision

Cox Enterprises

Senior Machine Learning Engineer developing computer vision models for vehicle damage detection at Cox Automotive. Involved in the full ML lifecycle, from dataset curation to deployment across mobile and auction platforms.

Posted 5/20/2026full-timeRemote • California, New York • 🇺🇸 United StatesSenior💰 $111,500 - $185,900 per yearWebsite

Tech Stack

Tools & technologies

AndroidiOSNumpy

About the role

Key responsibilities & impact

Design, train and ship damage detection and segmentation models from dataset curation through deployment
Contribute to technical direction on model architecture, including CNNs & transformers
Leverage LLMs, VLMs & agentic workflows to streamline dataset mining & collection
Partner with our annotation teams to build the datasets that make these models work
Deploy models to production on server & mobile in collaboration with other teams
Help set the technical bar for the team’s code, experiments, and reproducibility
Occasional travel to attend meetings, conferences or production facilities may be required

Requirements

What you’ll need

One of the following: Bachelors with 4+ years of relevant industry experience or, MS with 2+ years or, PhD with 1 + year or, 16 years of industry experience with no degree
Degrees should be in CS, Engineering, Mathematics, or a related field
Minimum 2 years of experience in machine learning with a focus in Computer Vision
Proven ML model development experience in detection, segmentation, and/or classification
Clear technical communication
Comfort across the full stack of an ML system, including data, training & evaluation
Strong hands-on experience with OpenCV & NumPy for image processing and data preparation using classical CV algorithms
C++ for performance-critical paths (preferred)
Mobile deployment experience for Android and/or iOS (preferred)
Multi-view geometry, Structure-from-Motion, or 3D reconstruction background (preferred)
Machine vision camera and hardware experience (preferred)

Benefits

Comp & perks

Health insurance (medical, dental, vision)
Retirement planning (401(k))
Paid time off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)
Flexibility to take vacation with pay as they deem consistent with duties
Seven paid holidays throughout the calendar year
Up to 160 hours of paid wellness annually for own wellness or that of family members
Additional paid time off (bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave)

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Hard Skills & Tools

machine learningcomputer visionmodel developmentdetectionsegmentationclassificationOpenCVNumPyC++multi-view geometry

Soft Skills

technical communicationcollaborationproblem-solving