ZipRecruiter

Log In

1

Senior Computer Vision Engineer Jobs in Georgia (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Together For Talent

Applied AI Engineer

Atlanta, GA · On-site +1

$170K - $230K/yr

Senior Applied AI Engineer | Spatial Computer Vision & Digital Twins Location: Fully Remote (in the US) Salary: $170-230k DOE About the Product We build visual operations and maintenance software for ...

Slope

Senior Mechanical Engineer

Atlanta, GA · On-site

$126 - $167/hr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE JOB This Senior Mechanical Engineer position is responsible for the physical design and ...

New

BGE, Inc

Sr CAD Designer - Civil 3D

Kennesaw, GA · On-site

BGE, Inc is a nationwide civil engineering consulting firm offering diverse career opportunities in ... Medical, Dental, Vision Insurance; BGE contributes to HSA on eligible plans * 9 paid Holidays ...

AutoStore

Senior Engineer, Perception/Vision

Atlanta, GA · On-site

$100K - $138K/yr

The Senior Engineer, Perception/Vision is part of a multi-disciplinary engineering team that leads and executes camera and sensing based R&D. This will be used to provide physical AI solutions. The ...

AutoStore

Senior Engineer, Perception/Vision

Atlanta, GA · On-site

$100K - $138K/yr

AutoStore™ holds a simple yet powerful vision: to store and move things for everyone, everywhere ... The Role: The Sr Engineer Camera and Sensing Technologies is part of a multi-disciplinary ...

Anduril Industries

Senior Mechanical Engineer

Atlanta, GA · On-site

$126K - $167K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE JOB This Senior Mechanical Engineer position is responsible for the physical design and ...

Anduril Industries

Senior Mechanical Engineer

Atlanta, GA · On-site

$126K - $167K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE JOB This Senior Mechanical Engineer position is responsible for the physical design and ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models with noisy or sparsely labeled datasets. * Experience using MLflow or similar tools for tracking ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models with noisy or sparsely labeled datasets. * Experience using MLflow or similar tools for tracking ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models with noisy or sparsely labeled datasets. * Experience using MLflow or similar tools for tracking ...

previous pagenext page

Showing results 21-40

All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Georgia

Senior Computer Vision Engineer information

See Georgia salary details

$50.2K

$106.9K

$154.9K

How much do senior computer vision engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior computer vision engineer in Georgia is $106,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $121,200.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

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

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.
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 Senior Computer Vision Engineer jobs in Georgia? For Senior Computer Vision Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Senior Computer Vision Engineer jobs in Georgia look for? The top searched job categories for Senior Computer Vision Engineer jobs in Georgia are:
What cities in Georgia are hiring for Senior Computer Vision Engineer jobs? Cities in Georgia with the most Senior Computer Vision Engineer job openings:
Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $106,862 per year, or $51.4 per hour.

Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Re-posted 20 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.