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Remote Digital Pathology Jobs in South Fulton, GA

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 equity. We are the leading virtual staining company revolutionizing digital pathology adoption ...

All JobsDigital Pathology JobsRemote Digital Pathology JobsRemote Digital Pathology Jobs in South Fulton, GA

Remote Digital Pathology information

See South Fulton, GA salary details

$18K

$64.3K

$104.8K

How much do remote digital pathology jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote digital pathology in South Fulton, GA is $64,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $81,100.00 per year, depending on experience, location, and employer.

What is a remote digital pathology?

A Remote Digital Pathology job involves analyzing and interpreting pathology images using digital tools, often from a remote location. Pathologists or lab professionals use high-resolution scanned slides and AI-powered software to diagnose diseases, conduct research, or assist in clinical decision-making. This role enables collaboration between experts worldwide, improving diagnostic accuracy and efficiency. It is commonly used in telepathology, second opinions, and educational applications while providing flexibility in work location.

What are the key skills and qualifications needed to thrive in remote digital pathology, and why are they important?

To thrive as a Remote Digital Pathology professional, you need a background in pathology or laboratory sciences, experience interpreting digital slides, and relevant credentials such as a medical degree or board certification in pathology. Familiarity with digital pathology platforms, image analysis software, and secure telemedicine systems is commonly required. Strong attention to detail, excellent communication, and self-motivation are valuable soft skills in this remote role. Mastery of these skills ensures accurate diagnoses and effective collaboration with healthcare teams, which are critical for patient care and research outcomes.

What is a typical workday like for someone in remote digital pathology?

A typical workday in remote digital pathology usually involves reviewing and interpreting digital pathology slides, participating in virtual meetings or case discussions with other pathologists, and generating diagnostic reports. You may collaborate closely with laboratory technologists, clinicians, and IT support teams to ensure seamless workflow and address any technical or diagnostic challenges. While most responsibilities can be performed independently from a home office, timely communication and responsiveness are important, especially when supporting time-sensitive clinical decisions. This structure allows for flexibility and autonomy, making it a highly appealing option for qualified professionals who value work-life balance and cutting-edge technology.

What job categories do people searching Remote Digital Pathology jobs in South Fulton, GA look for?

The top searched job categories for Remote Digital Pathology jobs in South Fulton, GA are:

What cities near South Fulton, GA are hiring for Remote Digital Pathology jobs?

Cities near South Fulton, GA with the most Remote Digital Pathology job openings:

Remote Digital Pathology jobs near you

Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Re-posted 29 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.