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Machine Learning Object Detection Jobs in Orem, UT

Contribute to the research, design, and development of large-scale foundation models for machine ... MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... object damage (FOD) prevention and emergency readiness; assist with emergency response and training ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

Showing results 21-32

Machine Learning Object Detection information

See Orem, UT salary details

$27.4K

$111.9K

$168.2K

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

As of Aug 21, 2026, the average yearly pay for machine learning object detection in Orem, UT is $111,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $134,800.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Machine Learning Object Detection jobs in Orem, UT?

For Machine Learning Object Detection jobs in Orem, UT, the most frequently searched job titles are:

Cybersecurity Red Team-Penetration Tester

Enterprise Services

Midvale, UT • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Zions Bancorporation is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients, and colleagues with the best experience possible for over 150 years. Help us transform our workforce of the future, today.

We are seeking a highly skilled and driven Cybersecurity Red Team-Penetration Tester to join our offensive security team. In this role, you will think like an adversary to proactively identify, exploit, and help remediate complex security vulnerabilities across our enterprise infrastructure, applications, and cloud environments.

Rather than just running automated scanners, you will design and execute sophisticated, real-world cyberattack simulations and manually dissect systems to identify deep-seated security flaws. As a critical partner to our Incident Response and development groups, your ultimate goal is not just to find weaknesses, but to collaboratively strengthen our overall security posture and educate internal stakeholders on emerging adversarial tactics.

Key Responsibilities

  • Emulate Advanced Adversaries: Execute comprehensive red team operations and objective-based testing to simulate real-world cyberattacks, testing both technical controls and incident response capabilities.
  • Conduct Multidisciplinary Testing: Perform manual and automated penetration testing across web applications, APIs, cloud environments (AWS/Azure/Kubernetes), internal/external networks, and operating systems (Windows, Active Directory, Linux).
  • Audit and Attack AI Systems: Design and execute adversarial simulations against Large Language Models (LLMs) and machine learning pipelines to identify enterprise vulnerabilities, verifying that deployed AI applications are resilient to manipulation and data exposure.
  • Develop Custom Exploits: Design, write, and modify custom scripts and tools to bypass modern endpoint detection and response (EDR) agents and navigate restrictive environments.
  • Deliver Clear Reporting: Translate complex technical findings into detailed, actionable remediation reports and present risk impact clearly to both technical developers and non-technical stakeholders.
  • Collaborate for Remediation: Partner closely with Cyber Threat Intelligence, Incident Response, Detection Engineering and development groups to provide post-assessment debriefs, validate remediation efforts, and continuously strengthen the overall security posture.

Qualifications:

  • Adversarial Frameworks: Deep practical knowledge of industry frameworks and standards, primarily the MITRE ATT&CK matrix, OWASP Top 10, and NIST.
  • AI & LLM Vulnerability Exploitation: Practical understanding of the OWASP Top 10 for LLMs and hands-on experience executing attacks such as prompt injection (direct and indirect), training data poisoning, model inversion, and API-based data exfiltration.
  • Commercial & Custom Tooling: Proficient hands-on experience with offensive security suites, including C2 frameworks (e.g., Cobalt Strike), proxy utilities (Burp Suite), scanners (Nessus, Nmap), exploitation platforms (Metasploit) and breach and attack simulation platforms (BAS).
  • Active Directory Domain Dominance: Proven experience exploiting AD environments, including Kerberoasting, AS-REP roasting, pass-the-hash, golden/silver ticket attacks, and domain delegation flaws.
  • Scripting & Automation: Strong programming capability in languages such as Python, PowerShell, Bash, or Go to automate tasks and build custom tooling.
  • Cloud Security: Experience identifying misconfigurations and exploiting cloud-native infrastructure within AWS, Microsoft Azure, or containerized environments (Kubernetes/Docker).
  • Professional Experience: 5+ years of dedicated professional experience focusing on network penetration testing, application security testing, or red teaming.
  • Educational Background: Bachelor's degree in Computer Science, Cybersecurity, Information Security, or a related field (or equivalent hands-on industry experience).
  • Industry Certifications (Highly Valued):
    • OSCP (Offensive Security Certified Professional) or OSCE / OSEP
    • SANS/GIAC certifications (e.g., GPEN, GXPN, GWAPT)
    • HTB Certified Penetration Testing Specialist (CPTS)

Work Location:

This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT

The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:

  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:   

  • Medical, Dental and Vision Insurance - START DAY ONE!   
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA), and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products