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Machine Learning Object Detection Jobs in Northbrook, IL

NAVA Software Solutions

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

... applied machine learning, deep learning, and AI system deployment * Strong Python engineering ... Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR

Harnham

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Build, maintain, and optimize production-grade machine learning models for fraud detection. * Design and implement scalable ML pipelines to enable rapid experimentation and model iteration. * Develop ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Support model performance monitoring, drift detection, and retraining cycles Deployment, Monitoring ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...

PayPal

Machine Learning Engineer

Chicago, IL

This job will validate and develop machine learning models and algorithms to solve complex problems ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...

Varsity Tutors

Machine Learning Tutor

Skokie, IL · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Chicago, IL · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Wheaton, IL · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Schaumburg, IL · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Des Plaines, IL · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Highland Park, IL · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Evanston, IL · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Lake Forest, IL · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Buffalo Grove, IL · Remote

$18 - $40/hr

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

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Northbrook, IL

Machine Learning Object Detection information

See Northbrook, IL salary details

$32K

$130.7K

$196.4K

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

As of Jun 26, 2026, the average yearly pay for machine learning object detection in Northbrook, IL is $130,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $157,300.00 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 Northbrook, IL? For Machine Learning Object Detection jobs in Northbrook, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Northbrook, IL look for? The top searched job categories for Machine Learning Object Detection jobs in Northbrook, IL are:
What cities near Northbrook, IL are hiring for Machine Learning Object Detection jobs? Cities near Northbrook, IL with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Infographic showing various Machine Learning Object Detection job openings in Northbrook, IL as of June 2026, with employment types broken down into 82% Full Time, 10% Part Time, 3% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,699 per year, or $62.8 per hour.

Machine Learning Engineer

Kasmo Global

Chicago, IL • On-site

Other

Posted 12 days ago

Job description

Machine Learning Engineer

Location: San Jose, CA/Chicago, IL

Duration: 18 months contract with a possible extension

What You'll Do

• Redesign and optimize PayPal's MLOps and decision platform for fraud detection

• Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention.

• Collaborate with data scientists and platform engineers to automate workflow

• Provide solutions that ensure compliance, security, and maintainability across the fraud detection ecosystem.

• Work with high-dimensional datasets and leverage tools like Python, PySpark, and Big Query to develop robust workflows for fraud signal detection.

• Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.

• Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.

• Tasks will be distributed via our Jira board/sprint planning/grooming cycle.

• Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers)

• During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.

• Team work mostly within Jira board from tasks assignments and tracking.

• Code would be in our centralized GitHub repo.

• Updates/documentation would be either in wiki page or our SharePoint/share drive.

You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation. You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.

Top Skills
  • Big Query, Python, SQL
  • Understand the production systems architect and offline data overview
  • Machine Learning experience

Apply