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Machine Learning Object Detection Jobs in Northbrook, IL

Strong expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, Deep Learning, etc.) * Familiarity with Object ...

Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection ...

... machine learning and AI solutions in production environments. Knowledge of responsible AI principles, model governance, explainability, bias detection, validation methodologies, and ethical use of ...

... machine learning and AI solutions in production environments. * Knowledge of responsible AI principles, model governance, explainability, bias detection, validation methodologies, and ethical use of ...

... and machine learning models from this data * Any amount of experience testing and improving low ... Any amount of experience developing and maintaining Object Oriented codebases/libraries * Any ...

Proven experience applying data science and machine learning to complex business problems, such as ... object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

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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 27, 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:
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.
Senior AI Software Engineer (Agentic Systems & LLM Applications) | W2 Only | REMOTE |

Senior AI Software Engineer (Agentic Systems & LLM Applications) | W2 Only | REMOTE |

Xlysi

Chicago, IL • Remote

$126K - $166K/yr

Other

Posted 2 days ago


Job description

Role Overview
We are seeking an experienced AI-focused Software Engineer to design, build, and scale intelligent applications powered by modern AI and large language models. This is not a Data Scientist role-we are looking for a strong software engineering professional with deep expertise in building production-grade AI systems, APIs, and distributed architectures.

Key Responsibilities

Design and develop Python-based APIs for AI-powered applications and services
Build and orchestrate agentic workflows using modern frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or LlamaIndex
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines
Develop scalable AI systems leveraging machine learning and deep learning frameworks
Integrate and manage vector databases (e.g., Pinecone, Weaviate, Chroma) for semantic search and memory
Architect and deploy applications across cloud platforms (AWS, GCP, Azure)
Apply domain-driven design (DDD) principles and build microservices architectures
Ensure code quality through strong use of object-oriented programming principles (inheritance, polymorphism) and proven design patterns
Collaborate cross-functionally to deliver robust, production-ready AI solutions

Required Qualifications

Strong experience in Python software development
Hands-on experience with LLM frameworks and orchestration tools (LangChain, LangGraph, AutoGen, etc.)
Solid understanding of RAG architectures and vector search systems
Experience working with machine learning frameworks such as TensorFlow or PyTorch
Proficiency in building and consuming RESTful APIs
Experience with cloud infrastructure (AWS, GCP, or Azure)
Strong knowledge of microservices architecture and domain-driven design
Deep understanding of object-oriented programming concepts and software design patterns

Preferred Qualifications

Experience building agent-based or autonomous AI systems
Familiarity with real-time AI applications and streaming architectures
Experience optimizing AI systems for performance and scalability
Exposure to MLOps practices and deployment pipelines

What Success Looks Like

You deliver scalable, production-grade AI systems, not prototypes
You can design complex agentic workflows that solve real business problems
You write clean, maintainable, and well-architected code
You bridge the gap between AI capabilities and software engineering excellence


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About Xlysi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Princeton Junction, NJ, US

Year founded

2006