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Machine Learning Object Detection Jobs in 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 ...

Build, deploy, and manage production-grade machine learning pipelines using Vertex AI Pipelines and ... Set up alerting mechanisms and dashboards for proactive issue detection. * Optimize model ...

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... detection, and analytical workflows. * Communicate complex analytical findings clearly through ...

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... detection, and analytical workflows. * Communicate complex analytical findings clearly through ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Implement and maintain data quality checks, validation rules, and anomaly detection frameworks ... Collaborate with data architects, business analysts, and machine learning teams to deliver trusted ...

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Machine Learning Object Detection information

See Chicago, IL salary details

$32.5K

$132.7K

$199.3K

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

As of Jul 18, 2026, the average yearly pay for machine learning object detection in Chicago, IL is $132,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $159,700.00 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 Chicago, IL? For Machine Learning Object Detection jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Chicago, IL look for? The top searched job categories for Machine Learning Object Detection jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Learning Object Detection jobs? Cities near Chicago, IL with the most Machine Learning Object Detection job openings:
Infographic showing various Machine Learning Object Detection job openings in Chicago, IL as of July 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $132,651 per year, or $63.8 per hour.
Sr. Director of Data Science Engineering

Sr. Director of Data Science Engineering

Health Care Service Corporation

Chicago, IL • Hybrid

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryHCSC is recruiting for a leader in our Data Science Engineering function. The team is responsible for the engineering practices that bring AI and machine learning solutions to production at scale, including model deployment, MLOps, monitoring, and reliability. The Senior Director will lead a team of machine learning engineers who partner closely with data scientists, product managers, and IT to operationalize AI/ML solutions that deliver tangible business value.
This role is situated within the Data Science & AI Solutions team at HCSC, the central hub of data science work within the organization. Join our team of driven, fun, and accomplished builders, and help us advance HCSC's mission: to do everything in our power to support our members, in sickness and in health.
Please note, this is a HYBRID position and will require 3 days/week in-office hours at the respective office location.
Job Responsibilities:
Develop and implement strategic plans for the Data Science Engineering function, aligning with the organization's objectives.
Lead a team of machine learning engineers to design, build, and operationalize scalable AI/ML solutions in collaboration with data scientists, product managers, and business stakeholders.
Establish and evolve MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management for both traditional ML and generative AI systems.
Architect and oversee scalable, secure, and reliable infrastructure for model training, inference, and serving on cloud platforms.
Drive engineering best practices include code quality, automated testing, observability, reproducibility, and responsible AI principles.
Partner with IT, platform, and data engineering teams to integrate AI/ML solutions into enterprise systems and workflows.
Ensure policies and procedures align with the corporate vision, regulatory requirements, and industry best practices.
Foster effective communication and collaboration within the team, stakeholders, and management.
Recruit, develop, and evaluate personnel to ensure the efficient operation of the Data Science Engineering team.
Serve as a liaison and support effective communication and strategy between the team and stakeholders.
Oversee the budget and operations of the function, ensuring efficient resource allocation and alignment with goals.

Required Job Qualifications:

Bachelor's degree and 7 years of work experience in a computer science, engineering, or related field OR Master's degree and 6 years of work experience in a computer science, engineering, or related field OR Ph.D. and 4 years of work experience in a computer science, engineering, or related field

  • 4 years management or leadership experience.

  • Learning and growth mindset.

  • Customer-focused.

  • Interpersonal, verbal and written communication skills.

  • Must demonstrate proficiency in at least five and mastery in one of the following six areas:

1) software engineering and version control practices

2) machine learning model development and evaluation

3) MLOps, CI/CD, and model deployment

4) a high-level programming language (e.g., Python)

5) generative and agentic AI

6) understanding of healthcare.

  • Iterative and agile development practices.

  • Independently delivering or leading the delivery of machine learning engineering solutions for multiple complex analytics or data science projects and products.

  • Overseeing the annual budget and allocating resources for various projects and operational needs.

  • Translating needs and initiatives into compelling business cases.

  • Conducting cost-benefit analyses to justify investments and ensure ROI.

Preferred Job Qualifications:

  • Master's degree in a computational field, or Bachelor's degree with significant healthcare experience

  • Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native ML services

  • Experience with containerization (Docker, Kubernetes) and infrastructure-as-code

  • Experience with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Azure ML, Databricks)

  • Experience deploying and operating generative AI / LLM-based solutions, including LLMOps, RAG architectures, and vector databases

  • Experience with model monitoring, drift detection, and responsible AI tooling

LI-HYBRID

LI -AZ1

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$161,500.00 - $299,700.00

Exact compensation may vary based on skills, experience, and location.