Sr Machine Learning Engineer

Cox Enterprises • Austin, TX

76d • $108,800 - $181,400

About The Position

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. As a Senior Machine Learning Engineer specializing in Computer Vision, you’ll work with a cross-functional team and leverage one of the world’s largest and most diverse catalogs of vehicle imagery—spanning millions of vehicles and conditions—collected through our nationwide Manheim auction and partner networks. This unparalleled data resource empowers you to design, develop, and deploy cutting-edge machine learning 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.

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.

Nice To Haves

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

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

Benefits

• Flexibility to take as much vacation with pay as they deem consistent with their duties.
• 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.
• Health care insurance (medical, dental, vision).
• Retirement planning (401(k)).
• Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree