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Remote Machine Vision Engineer Jobs in Georgia (NOW HIRING)

Cox

Sr Machine Learning Engineer- Computer Vision

Atlanta, GA · On-site +1

$111.50K - $185.90K/yr

We are looking for a Senior Machine Learning Engineer to join the team automating damage detection ... LOGISTICS * open to US remote- You can be based anywhere in the US excluding California or New York.

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66.90K - $90.50K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66.80K - $90.40K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

AEG Presents

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ... Company-subsidized medical, dental, & vision plans * 401(k) plan with company match * Annual bonus

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ... Company-subsidized medical, dental, & vision plans * 401(k) plan with company match * Annual bonus

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

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Remote Machine Vision Engineer information

What are the key skills and qualifications needed to thrive as a Remote Machine Vision Engineer, and why are they important?

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.
What are the most commonly searched types of Machine Vision Engineer jobs in Georgia? The most popular types of Machine Vision Engineer jobs in Georgia are:
What are popular job titles related to Remote Machine Vision Engineer jobs in Georgia? For Remote Machine Vision Engineer jobs in Georgia, the most frequently searched job titles are:
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What cities in Georgia are hiring for Remote Machine Vision Engineer jobs? Cities in Georgia with the most Remote Machine Vision Engineer job openings:
Remote Machine Vision Engineer jobs near you
Infographic showing various Remote Machine Vision Engineer job openings in Georgia as of May 2026, with employment types broken down into 13% Internship, 74% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution.
Sr Machine Learning Engineer- Computer Vision

Sr Machine Learning Engineer- Computer Vision

Cox

Atlanta, GA • On-site, Remote

$111.50K - $185.90K/yr

Other

PTO

This job post has expired today. Applications are no longer accepted.

Cox Communications rating

8.5

Company rating: 8.5 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

6th of 76 rated telecommunications companies

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, conferences or 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+ year or, 16 years of industry experience with no degree. Degrees should be in CS, Engineering, Mathematics, or a related field.
  • Minimum 2 years of experience 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 experience with OpenCV & NumPy for image processing and data preparation using classical CV algorithms.

PREFERRED
  • C++ for performance-critical paths.
  • Mobile deployment experience for Android and/or iOS.
  • 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 US excluding California 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.

USD 111,500.00 - 185,900.00 per year
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.
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.
Application Deadline: 06/28/2026
EOE, including disability/vets

What Cox Communications employees say

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About Cox Communications

Sourced by ZipRecruiter

Cox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark?

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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