2

Remote Chemical Engineering Oil Rig Jobs in Illinois

Senior Machine Learning Engineer

Chicago, IL ยท Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

The work model for the role is: remote (#Li-Remote) supporting the North Region central district ... engineering in power delivery products and systems and experience working with customers in the Oil ...

Senior Structural Engineer

Chicago, IL ยท On-site +1

$103K - $140K/yr

... Engineering Department, working with clients in the chemical, petrochemical and industrial disciplines. This position may work from any of our US offices in IL, TX , OH or MA. Remote options from ...

Senior Structural Engineer

Lisle, IL ยท On-site +1

$99K - $134K/yr

... Engineering Department, working with clients in the chemical, petrochemical and industrial disciplines. This position may work from any of our US offices in IL, TX , OH or MA. Remote options from ...

Senior Civil/Structural Engineer

Chicago, IL ยท On-site +1

$73K - $132K/yr

Leidos Engineering offers its knowledge and expertise over a wide area of cutting-edge energy ... Experience reviewing substation structure design, rigid bus design, foundation design, oil spill ...

Engineer, E&I

Chicago, IL ยท On-site +1

$140K - $180K/yr

... the Engineering Department Manager. This position will play a critical role on the project ... This is a remote role and can be based anywhere in the United States. Must be able to travel up to ...

Engineer, E&I

Rockford, IL ยท On-site +1

$140K - $180K/yr

... the Engineering Department Manager. This position will play a critical role on the project ... This is a remote role and can be based anywhere in the United States. Must be able to travel up to ...

Engineer, E&I

Aurora, IL ยท On-site +1

$140K - $180K/yr

... the Engineering Department Manager. This position will play a critical role on the project ... This is a remote role and can be based anywhere in the United States. Must be able to travel up to ...

Showing results 41-60

Remote Chemical Engineering Oil Rig information

What are the key skills and qualifications needed to thrive as a remote chemical engineer on an oil rig?

To thrive as a Remote Chemical Engineer on an oil rig, you need a solid background in chemical engineering principles, process optimization, and safety protocols, typically supported by a relevant engineering degree and professional licensure. Familiarity with process simulation software (such as Aspen HYSYS), SCADA systems, and industry-standard safety certifications like HAZWOPER is important. Strong problem-solving, communication, and adaptability skills help you manage complex operations and collaborate with multidisciplinary teams from a distance. These abilities are crucial for ensuring safe, efficient, and cost-effective chemical processes in challenging and remote environments.

What does a remote chemical engineer do on an oil rig?

Remote chemical engineers working on oil rigs are responsible for monitoring and optimizing chemical processes that are essential to drilling and production operations. They often analyze data received from the rig in real time, provide guidance on chemical treatments for corrosion control, and troubleshoot any issues related to fluid systems or equipment. Their work helps ensure efficient oil extraction, maintain safety standards, and minimize environmental impact, all while often collaborating with onsite teams from a remote location.

What is the difference between Remote Chemical Engineering Oil Rig vs Remote Petroleum Engineer?

AspectRemote Chemical Engineering Oil RigRemote Petroleum Engineer
CredentialsBachelor's in Chemical Engineering, certifications in safety and process designBachelor's in Petroleum Engineering, similar safety and process certifications
Work EnvironmentOn-site at oil rigs, remote monitoring possiblePrimarily office-based or remote, with field visits
Industry UsageUsed in offshore/onshore oil extraction, process optimizationFocuses on exploration, production, and reservoir management

Remote Chemical Engineering Oil Rigs involve on-site or remote process design and safety management on oil rigs, while Remote Petroleum Engineers focus on exploration and reservoir analysis, often working remotely or in offices. Both roles require similar credentials but differ mainly in work environment and specific industry tasks.

What are the unique challenges of working as a remote chemical engineer on an oil rig, and how can I prepare for them?

Working as a remote chemical engineer on an oil rig presents unique challenges, including managing process optimization and safety compliance from a distance, as well as adapting to limited onsite data and communication delays. You'll often collaborate virtually with multidisciplinary teams and must be proactive in troubleshooting issues through remote monitoring technologies and detailed reporting. Familiarity with digital twins, SCADA systems, and remote diagnostics is highly valuable. Preparing by developing strong communication skills and staying updated on remote process management tools will help you succeed in this role.
What are the most commonly searched types of Chemical Engineering Oil Rig jobs in Illinois? The most popular types of Chemical Engineering Oil Rig jobs in Illinois are:
What cities in Illinois are hiring for Remote Chemical Engineering Oil Rig jobs? Cities in Illinois with the most Remote Chemical Engineering Oil Rig job openings:

Senior Machine Learning Engineer

Career Renew

Chicago, IL โ€ข Remote

$165K - $225K/yr

Full-time

Re-posted 16 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.