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Remote Controls Engineer Jobs in Crown Point, IN

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... controls, model registry, has experience dealing with ML lifecycles Experience with feature search ...

Circle

Staff Software Engineer, Data Platform

Chicago, IL · On-site +1

... controls on data assets. You'll bring to Circle: Senior Software Engineer (III): * 4+ years of ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

DocuSign

Lead Security Engineer

Chicago, IL · On-site +1

... controls are scalable and align with the secure cloud posture. Your hands-on technical ... Employee divides their time between in-office and remote work. Access to an office location is ...

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All JobsControls Engineer JobsRemote Controls Engineer JobsRemote Controls Engineer Jobs in Crown Point, IN

Remote Controls Engineer information

See Crown Point, IN salary details

$52.2K

$91.6K

$124.3K

How much do remote controls engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote controls engineer in Crown Point, IN is $91,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $102,500.00 per year, depending on experience, location, and employer.

What is a remote controls engineer?

A Remote Controls Engineer designs, develops, and maintains automated control systems that can be managed remotely. They work with hardware and software to ensure seamless communication between control systems and remote operators. Their role often involves programming PLCs, optimizing communication protocols, and troubleshooting system issues. Industries such as manufacturing, robotics, and energy commonly employ Remote Controls Engineers to enhance efficiency and safety in operations.

What are the key skills and qualifications needed to thrive as a remote controls engineer?

To thrive as a Remote Controls Engineer, you need a strong background in electrical or mechanical engineering, control systems design, and programming, often supported by a relevant engineering degree. Familiarity with industry-standard PLCs, SCADA systems, HMI software, and certifications such as Professional Engineer (PE) or relevant manufacturer certifications are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills are essential for collaborating across multidisciplinary teams. These skills and qualifications are critical for designing reliable control solutions, troubleshooting issues, and ensuring project success in dynamic, technology-driven environments.

What types of projects and teams does a remote controls engineer typically work with?

Remote Controls Engineers often work on projects related to the automation and remote operation of equipment in industries such as manufacturing, energy, utilities, and transportation. You’ll typically collaborate with electrical engineers, software developers, project managers, and field technicians to design, implement, and optimize control systems. Projects may involve integrating new automation solutions, upgrading legacy equipment, or troubleshooting system issues. This role often allows you to see projects through from initial design and specification all the way to commissioning and support, offering excellent opportunities for technical growth and cross-functional teamwork.

What job categories do people searching Remote Controls Engineer jobs in Crown Point, IN look for? The top searched job categories for Remote Controls Engineer jobs in Crown Point, IN are:
What cities near Crown Point, IN are hiring for Remote Controls Engineer jobs? Cities near Crown Point, IN with the most Remote Controls Engineer job openings:
Remote Controls Engineer jobs near you
Infographic showing various Remote Controls Engineer job openings in Crown Point, IN as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,633 per year, or $44.1 per hour.

Senior Machine Learning Engineer

Career Renew

Chicago, IL • 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.