Senior Machine Learning Engineer at Cox Automotive specializing in Computer Vision for vehicle damage detection. Leading projects utilizing large datasets from Manheim auctions to advance machine learning accuracy.
Responsibilities
Lead the design, implementation, and optimization of computer vision algorithms for automated damage analysis.
Develop, test and refine deep learning models such as CNNs & transformers for damage detection, classification and segmentation.
Develop & curate datasets leveraging Cox Automotive’s annotation partners and massive catalog of vehicle imagery and condition reports.
Collaborate with data engineers and software developers to integrate models into scalable, production-grade systems.
Research and prototype novel approaches leveraging the latest advancements in computer vision and machine learning.
Communicate results, challenges, and opportunities clearly with cross-functional teams and stakeholders.
Contribute to setting team standards for code quality and reproducibility.
Review AI outputs for accuracy, compliance, and alignment with organizational standards while ensuring AI use drives measurable results and supports strategic organizational goals.
Requirements
Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field or 16 years experience
4+ years of industry experience in ML with a focus on computer vision applications
Proven experience in image segmentation, object detection or related subjects.
Expertise with Python and relevant ML libraries such as PyTorch, OpenCV & CoreML for datacenter and mobile.
Proficiency with AI coding assistants such as Github Copilot, Claude Code and GPT 5 to improve developer productivity.
Experience with annotation tools, dataset management, and versioning.
Strong analytical, problem-solving, and communication skills.
Ability to work independently and in collaborative team environments.
Must live or be willing to relocate to Atlanta GA or Austin TX and work in a hybrid office setting weekly.
Benefits
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations.
Seven paid holidays throughout the calendar year.
Up to 160 hours of paid wellness annually for their own wellness or that of family members.
Additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
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