Sr Machine Learning Engineer- Computer Vision

Cox CommunicationsAtlanta, Georgia

$111,500 - $185,900 / year

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Overview

Schedule

Full-time

Career level

Senior-level

Remote

Compensation

$111,500-$185,900/year

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Job Description

Company

Cox Automotive - USA

Job Family Group

Data Intelligence & Science

Job Profile

Machine Learning Sr Engineer

Management Level

Individual Contributor

Flexible Work Option

Can work remotely anywhere in the specified country

Travel %

Yes, 5% of the time

Work Shift

Day

Compensation

Compensation includes a base salary in the range of $111,500.00 - $185,900.00. 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

Cox Automotive operates Manheim, the largest wholesale vehicle auction network in the US. Between our mobile apps and imaging tunnels we see more than 10,000 vehicles and roughly 20 million images every week. That imagery is one of the largest and most diverse vehicle image catalogs in the world and is the raw material for this role.

We are looking for a Senior Machine Learning Engineer to join the team automating damage detection for our auction and mobile use cases. As part of that team, you will build computer vision models for vehicle damage detection, classification and segmentation.Your models will run in production on mobile devices and auction sites across the country. They will directly affect how vehicles are valued, described and sold.

This role covers the entire ML lifecycle. You will draw on our extensive catalog of vehicle information in addition to raw imagery. Based on business needs you will identify and mine new datasets, work with our 3rd party labeling team to refine them, select architectures and train proof-of concept/updated models before incorporating them into our production pipelines. You will have the opportunity to see your work progress from early R&D to production.

WHAT YOU'LL DO

Design, train and ship damage detection and segmentation models from dataset curation through deployment.

Contribute to technical direction on model architecture, including CNNs & transformers.

Leverage LLMs, VLMs & agentic workflows to streamline dataset mining & collection.

Partner with our annotation teams to build the datasets that make these models work.

Deploy models to production on server & mobile in collaboration with other teams.

Help set the technical bar for the team’s code, experiments, and reproducibility.

Occasional travel to attend meetings, conferencesor production facilities may be required.

WHO YOU ARE

MINIMUM QUALIFICATIONS

One of the following:Bachelors with 4+ years of relevant industry experience or,MS with 2+ years or,PhD with 1+yearor,16 years of industry experiencewith no degree. Degrees should be inCS, Engineering, Mathematics, or a related field.

Minimum2 yearsofexperience in machine learning with a focus in Computer Vision

Proven ML model development experience in detection, segmentation, and/or classification.

Clear technical communication. You will be explaining trade-offs to product, engineering, and business stakeholders regularly.

Comfort across the full stack of an ML system, including data, training& evaluation.

Strong hands-on experiencewith OpenCV & NumPy for image processing and data preparationusing classical CV algorithms.

PREFERRED

C++ for performance-critical paths.

Mobile deployment experiencefor Androidand/oriOS.

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.

LOGISTICS

open to US remote- You can be based anywhere in the USexcludingCalifornia or New York.

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.

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.EOE, including disability/vetsApplication Deadline: 06/28/2026

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FAQs About Sr Machine Learning Engineer- Computer Vision Jobs at Cox Communications

What is the work location for this position at Cox Communications?

This job at Cox Communications is located in Atlanta, Georgia, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Cox Communications?

Candidates can expect a pay range of $111,500 and $185,900 per year.

What employment applies to this position at Cox Communications?

Cox Communications lists this role as a Full-time position.

What experience level is required for this role at Cox Communications?

Cox Communications is looking for a candidate with "Senior-level" experience level.

Does Cox Communications allow remote work for this role?

Yes, this position at Cox Communications supports remote work, giving candidates the flexibility to work outside the primary office location.

What benefits are offered by Cox Communications for this role?

Cox Communications offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Family/Dependent Health, Paid Holidays, Paid Sick Leave, Parental and Family Leave, Paid Community Service Time, Flexible/Unlimited PTO, 401k Matching/Retirement Savings, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.

What is the process to apply for this position at Cox Communications?

You can apply for this role at Cox Communications either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.