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Weekend Machine Vision Engineer Jobs in Acworth, GA

Senior Controls Engineer

Alpharetta, GA · On-site

$93K - $123K/yr

Controls Engineer Location: Alpharetta, GA (100% On-site) Job Summary: We are seeking an ... Experience with machine vision applications - Cognex, Keyence, etc., preferred * Experience with ...

Sr Mechanical Engineer

Austell, GA

$94K - $124K/yr

As a senior mechanical engineer, your responsibility will be to contribute to the automation design ... Machine vision experience. Business Skills: * Complete task assignments working both independently ...

Sr Mechanical Engineer

Austell, GA · On-site

$94K - $124K/yr

As a senior mechanical engineer, your responsibility will be to contribute to the automation design ... Machine vision experience. Business Skills: * Complete task assignments working both independently ...

As a senior mechanical engineer, your responsibility will be to contribute to the automation design ... Machine vision experience. Business Skills: * Complete task assignments working both independently ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our ...

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

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Weekend Machine Vision Engineer information

See Acworth, GA salary details

$28.1K

$114.9K

$172.7K

How much do weekend machine vision engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for weekend machine vision engineer in Acworth, GA is $114,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $138,400.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

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

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
Sr Machine Learning Engineer- Computer Vision

Sr Machine Learning Engineer- Computer Vision

Cox

Atlanta, GA • On-site, Remote

$111K - $185K/yr

Other

PTO

Posted 21 days ago


Cox Communications rating

8.5

Company rating: 8.5 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

6th of 78 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