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Remote Chemical Process Engineer Jobs in Decatur, 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 ... chemical staining processes. This innovation supports the critical evolution from research ...

Oscar Health

Associate, Process Improvement

Atlanta, GA · Remote

$87.19K - $114.43K/yr

This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

PangeaTwo

Contract Developer - Remote

Atlanta, GA · On-site +1

$48.25 - $64.25/hr

This contract opportunity is ideal for a senior-level engineer who thrives in autonomous ... • Process monitoring, observability & containerization • ERP integrations & transaction ...

ICF

Senior Transmission Line Engineer - REMOTE

Atlanta, GA · Remote

$100.50K - $138K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Committed to continuous learning and process improvement, consistently seeking opportunities to ...

ICF

Lead Substation Physical Engineer - REMOTE

Atlanta, GA · On-site +1

$98.60K - $129.80K/yr

Remote US Ready to make a difference? ICF is seeking an experienced Substation Physical Engineer to ... Perform/ensure company's Quality Assurance/Quality Control (QA/QC) processes are being followed on ...

Oscar Health

Associate, Process Improvement

Atlanta, GA · Remote

$87.19K - $114.43K/yr

This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

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Remote Chemical Process Engineer information

See Decatur, GA salary details

$44.4K

$98.9K

$158.2K

How much do remote chemical process engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote chemical process engineer in Decatur, GA is $98,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $111,800.00 per year, depending on experience, location, and employer.

What is a Remote Chemical Process Engineer job?

A Remote Chemical Process Engineer designs, analyzes, and optimizes chemical manufacturing processes while working from a remote location. They use simulation software, data analysis, and virtual collaboration tools to improve efficiency, safety, and sustainability in chemical production. Responsibilities may include process design, troubleshooting, scaling operations, and ensuring regulatory compliance. Remote engineers often coordinate with on-site teams, suppliers, and clients through digital communication. This role requires strong problem-solving skills and expertise in chemical engineering principles to enhance industrial processes effectively.

What are the key skills and qualifications needed to thrive in the Remote Chemical Process Engineer position, and why are they important?

To thrive as a Remote Chemical Process Engineer, you need a solid background in chemical engineering principles, process design, and troubleshooting, typically supported by a relevant engineering degree and professional certifications like a PE or EIT. Familiarity with process simulation software (such as Aspen Plus or HYSYS), data analysis tools, and remote collaboration platforms is important. Strong problem-solving skills, effective time management, and clear communication are essential for working autonomously and collaborating with distributed teams. These skills ensure efficient process optimization, regulatory compliance, and seamless teamwork despite remote work settings.

What are some typical daily responsibilities for a Remote Chemical Process Engineer?

As a Remote Chemical Process Engineer, your day-to-day tasks often include analyzing process data, designing or optimizing chemical processes, creating technical documentation, and troubleshooting operational issues. You'll regularly use process simulation software and collaborate virtually with cross-functional teams such as project managers, plant operators, and safety specialists. Participation in virtual meetings, providing technical support, and ensuring compliance with safety and environmental regulations are also common parts of the job. This role requires managing your own schedule efficiently while staying responsive to the needs of both internal and external stakeholders.
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What cities near Decatur, GA are hiring for Remote Chemical Process Engineer jobs? Cities near Decatur, GA with the most Remote Chemical Process Engineer job openings:
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Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Posted 8 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.