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Machine Learning Object Detection Jobs in Madison, WI

Senior Applied ML Engineer

Middleton, WI · Remote

$125.25K - $183.70K/yr

... Machine Learning, or related field. * 5+ years of experience designing and deploying applied ML systems at scale. * Experience with computer vision (CNNs, object detection, segmentation) and natural ...

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy, Scipy, and Pytorch * Experience with image analysis, emphasis on realtime object detection

Sr Software Engineer

Madison, WI · On-site

$106K - $145K/yr

Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy, Scipy, and Pytorch * Experience with image analysis, emphasis on realtime object detection

Python Tutor

Madison, WI · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Senior AI Engineer

Madison, WI · On-site

$105.30K - $144.60K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to ... Implement classical AI and advanced analytics approaches including forecasting, anomaly detection ...

... Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management ... Experience with object oriented programming, experience working with relational databases and ...

... segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

... segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

Consultant (Technical)

Madison, WI · On-site

$75K - $125K/yr

... Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management ... Experience with object oriented programming, experience working with relational databases and ...

... Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management ... Experience with object oriented programming, experience working with relational databases and ...

Senior Technical Consultant

Madison, WI · On-site

$100K - $150K/yr

Basic understanding of object oriented programming, experience working with relational databases ... Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management ...

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Machine Learning Object Detection information

See Madison, WI salary details

$31.7K

$129.8K

$195K

How much do machine learning object detection jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning object detection in Madison, WI is $129,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $156,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Madison, WI? For Machine Learning Object Detection jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Madison, WI look for? The top searched job categories for Machine Learning Object Detection jobs in Madison, WI are:
What cities near Madison, WI are hiring for Machine Learning Object Detection jobs? Cities near Madison, WI with the most Machine Learning Object Detection job openings:

Senior Applied ML Engineer

Paradigm

Middleton, WI • Remote

$125.25K - $183.70K/yr

Full-time

Posted 14 days ago


Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries.

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML techniques—ranging from computer vision to large language models—to automate critical workflows such as blueprint understanding, 3D model generation, and materials forecasting. This role blends research, engineering, and domain expertise to deliver practical, production-ready AI systems that transform how homes are designed, estimated, and built.

What You Will Do:

  • Develop and optimize CNN and LLM-powered models for computer vision, document extraction, and automated construction workflows.

  • Prototype, fine-tune, and assess models for NLP tasks such as classification, entity recognition, and summarization of construction data.

  • Build scalable ML pipelines and backend services that integrate into production-grade agents and digital platforms.

  • Drive the end-to-end ML lifecycle: from experimentation and training, to deployment, monitoring, and continuous improvement.

  • Integrate retrieval, ML, and rules-based methods to deliver reliable, explainable, and supportable features.

  • Collaborate closely with product managers, software engineers, and construction domain experts to solve real-world challenges with measurable business impact.

What You Need to Succeed:

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.

  • 5+ years of experience designing and deploying applied ML systems at scale.

  • Experience with computer vision (CNNs, object detection, segmentation) and natural language processing (LLMs, embeddings, transformers).

  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).

  • Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent).

  • Experience with APIs, CI/CD pipelines, cloud platforms (AWS/Azure/GCP).

  • Ability to clearly communicate technical concepts to both engineers and non-technical stakeholders.

  • Experience applying ML in construction, CAD/BIM, architecture, or digital twin platforms is preferred.

  • Familiarity with graph-based retrieval, RAG pipelines, or multimodal ML is preferred.

Ready to Join? Apply now at myparadigm.com/careers/

Compensation Range: $125,250 - $183,700