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Computer Vision Engineer Jobs in Georgia (NOW HIRING)

Koch Industries

Lead Software Engineer-AI

Atlanta, GA · On-site

Experience developing, deploying, or supporting machine learning, computer vision, AI, or data ... Bachelor's or Master's degree in computer science, engineering, or a related field * Experience ...

Dolby

Sr Researcher, Sight Lab

Atlanta, GA · On-site

... audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. At Dolby Laboratories, we ...

Dolby

Sr Researcher, Sight Lab

Atlanta, GA · On-site

... audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. At Dolby Laboratories, we ...

Zomedica

Cloud Solution Engineer

Roswell, GA · On-site

Ready to Engineer the Future of Veterinary Medicine? Zomedica is pioneering new ways to connect ... Demonstrated practical knowledge of AI computer vision technologies, including Python, OpenCV, YOLO ...

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... engineers, and product teams • Optimize model accuracy, scalability, and performance • Implement deep learning, NLP, and computer vision solutions where required • Monitor, retrain, and improve ...

Zomedica

Cloud Solution Engineer

Roswell, GA · On-site

Cloud Solution Engineer Roswell, GA (on-site) Ready to Engineer the Future of Veterinary Medicine ... Demonstrated practical knowledge of AI computer vision technologies, including Python, OpenCV, YOLO ...

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Computer Vision Engineer information

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$41K

$102.6K

$116.1K

How much do computer vision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer vision engineer in Georgia is $102,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $111,000.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Georgia?

The most popular types of Computer Vision Engineer jobs in Georgia are:

What are popular job titles related to Computer Vision Engineer jobs in Georgia?

For Computer Vision Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Georgia look for?

The top searched job categories for Computer Vision Engineer jobs in Georgia are:

What cities in Georgia are hiring for Computer Vision Engineer jobs?

Cities in Georgia with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 15% Part Time, 10% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $102,605 per year, or $49.3 per hour.

Lead Software Engineer-AI

Atlanta, GA • On-site

Koch Industries
Oil and Gas Extraction • 10K+ employees
Learn more about Koch Industriesexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Koch Industries rating

8.0

Company rating: 8.0 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

Job description

Your Job
Georgia Pacific is seeking a Lead Software Engineer-AI to join our team! This hands-on technical leadership role is responsible for designing, building, and operating AI-powered applications, primarily computer vision solutions, that are deployed across more than 100 manufacturing facilities and directly support critical operational outcomes. The successful applicant will have excellent analytical, troubleshooting, and organizational skills and will report to our CV Senior IT Delivery Manager.
Our Team
This team creates sustainable value and competitive advantage by leveraging advanced analytics, AI, and actionable insights across the enterprise, with a strong focus on manufacturing outcomes and future-forward innovation. The role works closely with data scientists, product partners, and manufacturing teams to deliver scalable, real-world AI solutions.
What You Will Do
  • Lead the development, deployment, and operation of AI applications that support manufacturing operations across more than 100 facilities
  • Provide technical leadership and architectural guidance for cloud and edge-based AI solutions, deployed in Kubernetes/EKS environments
  • Partner with data scientists, engineers, and product managers to deliver new AI products and enhance existing capabilities
  • Develop high-quality, production-ready code using modern AI, data, and analytics technologies
  • Mentor and coach engineers through design reviews, code reviews, and hands-on technical leadership
  • Drive continuous improvement by addressing technical debt and establishing best practices for system design, reliability, performance, and scalability
  • Invest in continuous learning while fostering the technical growth and development of the team

Who You Are (Basic Qualifications)
  • 6+ years of software engineering experience building and operating distributed systems, including technical design and delivery responsibilities
  • Experience leading technical design, architecture decisions, or software delivery teams
  • Experience developing, deploying, or supporting machine learning, computer vision, AI, or data-driven applications
  • Professional experience in Python, SQL, Docker, and Bash scripting
  • Experience building and deploying containerized applications using Kubernetes (EKS) and/or AWS ECS
  • Experience with AWS services such as Lambda, EC2, ECS, EKS, S3, and IAM
  • Experience with data streaming technologies such as Kafka, NATS, MQTT, or similar platforms
  • Experience using Infrastructure-as-Code tools such as Terraform and Helm
  • Knowledge of data structures, algorithms, and system design

What Will Put You Ahead
  • Experience with edge computing architecture and hybrid cloud deployments
  • Bachelor's or Master's degree in computer science, engineering, or a related field
  • Experience deploying and operating applications on edge devices
  • Familiarity with monitoring and logging tools such as Prometheus, Grafana, or Splunk

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquí , or tu ).
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