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Machine Learning Object Detection Jobs in Northbrook, IL

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

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 ...

Marmon

Data Scientist

Carol Stream, IL · Hybrid

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

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

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

Co-Sourcing Partners

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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Chicago, IL

$107K - $147K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Some of our novel use cases include cancer detection, drug discovery, optimizing population health ...

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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 Jul 17, 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
Core Cash Fraud Prevention Product Manager - Payments - Vice President

Core Cash Fraud Prevention Product Manager - Payments - Vice President

JPMorgan Chase & Co.

Chicago, IL • On-site

$109K - $177K/yr

Full-time

Medical, Retirement

Posted 7 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description


You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Core Cash Fraud Prevention, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
Job responsibilities
  • Leads the design, development, and implementation of a new Global Fraud Consortium data platform and its business rules to improve detection rules, models, and algorithms for core cash payment channels including Wires, ACH, RTP, and emerging payment methods
  • Develops a product strategy and product vision that delivers value to customers, aligned with business objectives and risk appetite for fraud prevention solutions
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap, including threat analysis, competitive benchmarking, and emerging fraud pattern identification
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition using Agile methodologies
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, reliability, fraud detection effectiveness, and false positive rates
  • Analyzes fraud trends, attack vectors, and typologies to continuously enhance detection capabilities while balancing fraud prevention effectiveness with customer experience
  • Collaborates with data science teams to develop and deploy machine learning models that benefit from this new platform
  • Designs fraud detection and prevention mechanisms that comply with regional regulatory requirements
  • Collaborates with compliance, legal, and risk teams globally to ensure product features meet all applicable regulatory standards, fraud reporting obligations, and maintain proper documentation and audit trails for regulatory examinations

Required qualifications, capabilities, and skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Minimum 3 years of Financial Technology experience with deep understanding of Banking Payment Domain including Wires, ACH, Real Time Payments, and ISO 20022 standards
  • Extensive experience working with fraud detection systems and deep understanding of fraud patterns, typologies, and attack vectors in payment ecosystems, including experience with fraud case management and investigation workflows
  • Proven experience designing and implementing payment and fraud prevention solutions
  • Strong proficiency in Agile development methodologies and tools (JIRA) with ability to write clear, comprehensive user stories following INVEST principles with well-defined acceptance criteria
  • Strong understanding of regional payment regulations and fraud prevention requirements across multiple jurisdictions (US, EMEA, APAC), and fraud reporting obligations
  • Experience with API design, contract definition, and specifications (Swagger) and knowledge of web service protocols and technologies (SOAP, XML, JSON)
  • SQL and database scripting capabilities with ability to analyze large datasets
  • Bachelor's or Master's degree required; Engineering, Computer Science, Mathematics, or related quantitative field

Preferred qualifications, capabilities, and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • 6-12 years of experience in software development or technology companies
  • Expertise in fraud detection methodologies, machine learning models, and rule-based engines
  • Experience with fraud detection rule engines and scoring models
  • Track record of delivering products with "first time right, on-time delivery" approach
  • Experience gathering and synthesizing requirements from diverse stakeholders including fraud investigators, compliance officers, and regional business partners through structured interviews and feedback sessions

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
A part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money, and assets. The team of experts tackles complex challenges at every stage of the payment lifecycle. And their industry-leading solutions facilitate seamless transactions across borders, industries, and platforms.
Operating in over 160 countries and handling more than 120 currencies, J.P. Morgan Payments business is the largest processor of USD payments, with a daily transaction volume of $10 trillion.

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