Cox Automotive
SrMachineLearningEngineerComputerVision
“Sr Machine Learning Engineer- Computer Vision at Cox Automotive. Skills: Computer Vision, Machine Learning, Model Development, Deployment. Build computer vision models. Automate damage detection”
What You'll Achieve.
automating damage detection for our auction and mobile use cases; models will run in production on mobile devices and auction sites; directly affect how vehicles are valued, described and sold; see your work progress from early R&D to production
Industry & Context.
Occasional travel to attend meetings, conferences or production facilities may be required, Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship, No OPT, CPT, STEM/OPT or visa sponsorship now or in future, clear a pre-employment drug test, drug-free workplace
What They're Looking For.
Must Have
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, hands-on experience with OpenCV & NumPy for image processing and data preparation using classical CV algorithms
Nice to Have
C++ for performance-critical paths, Mobile deployment experience for Android and/or iOS, Multi-view geometry, Structure-from-Motion, or 3D reconstruction background, Machine vision camera and hardware experience, Familiarity with AI coding assistants, including their benefits and pitfalls
What You'll Do.
Build computer vision models
Automate damage detection
train and ship damage detection and segmentation models
Contribute to technical direction on model architecture
VLMs & agentic workflows
Deploy models to production
Help set the technical bar for the team’s code
How You'll Work.
Team & Collaboration
Partner with our annotation teams; Deploy models to production in collaboration with other teams; Explaining trade-offs to product, engineering, and business stakeholders
Communication Scope
Clear technical communication
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