Sr Machine Learning Engineer

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We are seeking a highly skilled and motivated Senior Machine Learning Engineer with deep expertise in Computer Vision for damage detection and segmentation. In this role, you will design, develop, and deploy state-of-the-art machine learning models to detect vehicle damage. You will work with a cross-functional team and leverage Cox Automotive's dataset of vehicle imagery to design, develop, and deploy models that set new standards for accuracy and reliability in damage detection and segmentation.

The models you develop will be integrated into Cox Automotives' mobile platforms and fixed Imaging Tunnels at Manheim auctions nationwide to drive the next generation of vehicle damage analysis.

• 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.
• Demonstrate understanding of AI capabilities, limitations, ethics, and governance while selecting and applying appropriate AI tools to solve problems and drive meaningful outcomes.
• Review AI outputs for accuracy, compliance, and alignment with organizational standards while ensuring AI use drives measurable results and supports strategic organizational goals.
• Uphold best practices for data integrity, security, and ethical use, mitigating bias and protecting sensitive information.

• Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related field or 16 years experience
• Required 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.

Experience with one or more of the subjects below is highly desirable:

• C++ proficiency
• Model deployment for mobile & web platforms
• Dataset development using third party annotation firms
• Data mining & analysis using SQL, Elastic Search & AWS
• Structure-from-Motion, SLAM & 3D reconstruction experience
• Machine vision camera systems
• Front-end web development

Compensation:
Includes a base salary of $ - $ per year. The base salary may vary within the anticipated base pay range based on factors such as location and the candidates knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

The Company offers eligible employees paid vacation, seven paid holidays per year, and up to 160 hours of paid wellness annually. Additional paid time off includes bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Full-time
• Job function:
  Engineering and Information Technology
• Industries:
  Software Development

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