ZipRecruiter

Log In

2

Remote International Computer Engineer Jobs in Georgia

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 ...

Epta

Electrical Engineer

Columbus, GA · On-site +1

MS office * CAD * Proficient in English, Spanish is a plus Don't let a few unmet requirements chill ... Epta offers the opportunity for remote work whenever possible, along with providing the necessary ...

ITTConnect

Appian Developer

Atlanta, GA · Remote

Atlanta preferred or Remote. Job Duties: Develop and implement Appian and web-based applications ... Computer Engineering or a closely related field Benefits None.

Kaleris

Software Engineer

Alpharetta, GA · Remote

Senior Software Engineer About Kaleris Kaleris is a private equity-backed software firm focused on ... international remote teams * Bachelor's degree in Computer Science or a related field, or ...

Kemper

Guidewire Developer

Alpharetta, GA · On-site +1

... PA, Remote-TX, Remote-VA, Richardson, Texas Details Kemper is one of the nation's leading ... Bachelor's degree in computer science, computer engineering, or a related field; advanced degree ...

CSAA

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Experity

Staff Engineer - Full Time - Remote

Atlanta, GA · On-site +1

$121K - $161K/yr

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... Bachelor's degree in Computer Science, Software Engineering, or related field of equivalent ...

Raymond

Civil Engineer

Savannah, GA · On-site +1

Conyers, GA / Charleston, SC / Raleigh, NC / Savannah, GA / Remote (Hybrid options available) About ... Bachelor's degree in Civil Engineering from an ABET-accredited program (or equivalent international ...

Harris

Associates degree in Computer Science, Engineering, or a related field. * Proven experience as a ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Harris

Associates degree in Computer Science, Engineering, or a related field. * Proven experience as a ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Tetra Tech

Civil Engineer III

Atlanta, GA · On-site +1

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Regularly required to sit and work at a computer for extended periods; occasional standing and ...

next page

Showing results 1-20

All JobsInternational Computer Engineer JobsRemote International Computer Engineer JobsRemote International Computer Engineer Jobs in Georgia

Remote International Computer Engineer information

What does a Remote International Computer Engineer do?

A Remote International Computer Engineer designs, develops, and maintains computer systems and software while working from a location outside of a traditional office, often collaborating with teams and clients across different countries. Their work can include tasks like programming, troubleshooting network issues, implementing security measures, and integrating new technologies. Communication is typically done through digital channels, requiring strong technical and cross-cultural collaboration skills. This role enables companies to access global talent and allows engineers to work flexibly from anywhere in the world.

How does working remotely as an international computer engineer impact collaboration with global teams?

As a remote international computer engineer, you'll frequently collaborate with colleagues across different time zones and cultures, which can be both rewarding and challenging. Clear communication, flexibility with meeting times, and proficiency with collaboration tools like Slack, GitHub, and Jira are essential for staying aligned with your team. You'll often participate in virtual stand-ups, code reviews, and project planning sessions, requiring strong self-management skills. While the remote environment offers autonomy, it also demands proactive engagement to ensure your contributions are visible and integrated into the team's workflows.

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

To thrive as a Remote International Computer Engineer, you need strong programming abilities, a solid background in computer science or engineering, and experience with global software development practices. Familiarity with cloud platforms, version control systems like Git, and certifications such as AWS Certified Solutions Architect or CompTIA Network+ are commonly required. Excellent communication, cross-cultural collaboration, and self-motivation are essential soft skills for remote and international teamwork. These competencies ensure effective problem-solving, project delivery, and seamless cooperation across diverse and distributed teams.
What are popular job titles related to Remote International Computer Engineer jobs in Georgia? For Remote International Computer Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote International Computer Engineer jobs in Georgia look for? The top searched job categories for Remote International Computer Engineer jobs in Georgia are:
What cities in Georgia are hiring for Remote International Computer Engineer jobs? Cities in Georgia with the most Remote International Computer Engineer job openings:
Remote International Computer Engineer jobs near you

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.