Company

Cox Automotive - USA

Job Family Group

Data Intelligence & Science

Job Profile

Machine Learning Sr Engineer

Management Level

Individual Contributor

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

Yes, 5% of the time

Work Shift

Day

Compensation

Compensation includes a base salary of $108,800.00 - $181,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

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.

WHAT YOU'LL DO

Key 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

WHO YOU ARERequired Qualifications

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

Desirable Skills

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, ElasticSearch & AWS

Structure-from-Motion, SLAM & 3D reconstruction experience

Machine vision camera systems

Front-end web development

Drug Testing

To be employed in this role, you’ll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited.

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; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for 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.

About Us

Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells – or simply uses – cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.