ZipRecruiter

Log In

1

Machine Learning Object Detection Jobs in Northbrook, IL

Vizient

Lead Data Scientist

Chicago, IL · On-site

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

Grubhub

Senior Staff Data Scientist

Chicago, IL

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 ...

previous page

Showing results 41-60

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 Aug 6, 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 75% Full Time, 14% Part Time, 7% Temporary, and 4% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $130,699 per year, or $62.8 per hour.

Lead Data Scientist

Vizient

Chicago, IL • On-site

Full-time

Re-posted 23 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you willdevelop and deploy advanced analytics, machine learning, generative AI, and agentic AI solutions that address complex business and client challenges. You will design scalable data science products, translate sophisticated analytical findings into actionable insights, and guide data scientists in delivering high-quality solutions that improve clinical, operational, and economic outcomes. You will influence technical strategy, drive innovation, and ensure analytical solutions align with organizational objectives.

Responsibilities:

  • Lead the design, development, and implementation of advanced machine learning, generative AI solutions across structured and unstructured data.
  • Build and deploy scalable, automated data science products and reusable analytic assets that support business and client objectives.
  • Analyze large-scale, high-dimensional datasets using modern analytics tools and distributed computing platforms to identify trends, opportunities, and actionable insights.
  • Design and prototype agentic AI workflows leveraging large language models (LLMs), retrieval systems, structured data, APIs, tools, and business rules to automate complex business processes.
  • Translate business requirements into AI agent architectures, including task decomposition, tool orchestration, routing logic, escalation paths, and human approval checkpoints.
  • Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation.
  • Develop evaluation frameworks for machine learning and AI solutions, including performance, accuracy, reliability, hallucination risk, latency, cost, safety, and consistency measures.
  • Make key analytical and architectural decisions, establish technical standards, and provide leadership on methodology, model selection, solution design, and AI implementation best practices.
  • Lead code reviews, mentor data scientists, and promote best practices in software development, responsible AI, model governance, and analytics delivery.
  • Partner with engineering, platform, and business teams to deploy, monitor, and maintain production-ready analytics and AI solutions.
  • Translate complex analytical findings into clear reports, visualizations, and presentations for technical and non-technical audiences.
  • Collaborate with stakeholders and clients to define analytical approaches that address strategic, operational, and clinical objectives.
  • Evaluate emerging technologies and industry trends to advance organizational analytics and AI capabilities.

Qualifications:

  • Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus.
  • 7 or more years of relevant experience required.
  • Demonstrated expertise in data science methodologies, statistical modeling, machine learning, generative AI, agentic AI, and natural language processing required.
  • Strong understanding of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and autonomous decision-making frameworks within enterprise AI environments highly preferred.
  • Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools.
  • Experience with vector databases, semantic search technologies, knowledge graphs, metadata management, or enterprise search platforms.
  • Experience deploying, monitoring, and maintaining machine learning and AI solutions in production environments.
  • Knowledge of responsible AI principles, model governance, explainability, bias detection, validation methodologies, and ethical use of data.
  • Experience designing and implementing human-in-the-loop workflows that balance automation, governance, risk management, and user oversight.
  • Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks.
  • Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to diverse audiences.
  • Experience leading complex analytics initiatives, providing technical guidance, and mentoring data scientists.
  • Experience working with healthcare data, including clinical, claims, operational, or financial datasets preferred.

#LI-JB1

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Apply