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Machine Learning Object Detection Jobs in Raleigh, NC

CoVar

Machine Learning Engineer

Durham, NC · On-site

... like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field • ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

... object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques • Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git;

CoVar

Machine Learning Engineer

Durham, NC

Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g ... Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer ...

Samprasoft

Machine Learning Engineer

Durham, NC

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC

As a Machine Learning Engineer, you will help build and operate production systems that power fraud detection and risk-related products. You'll work closely with data scientists and engineers to ...

Varsity Tutors

Machine Learning Tutor

Raleigh, NC · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Durham, NC · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Chapel Hill, NC · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

BAE Systems

Scientist Sr

Durham, NC · On-site

$88K - $149K/yr

Object detection, tracking, and classification * Machine learning and AI * EO, IR, SAR, HRR, EW, and Hyperspectral phenomenology * Target signature generation, modeling, and simulation * Registration ...

Vadum Inc

AI Solutions Engineer

Raleigh, NC · On-site

Architect and build computer vision feature extraction, classification, and object detection ... continuous learning, and professional growth. We offer a collaborative work environment ...

New

Vadum Inc

AI Solutions Engineer

Raleigh, NC

Architect and build computer vision feature extraction, classification, and object detection ... continuous learning, and professional growth. We offer a collaborative work environment ...

New

VAST Data

Customer Support Engineer

Raleigh, NC · On-site +1

You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Raleigh, NC

Machine Learning Object Detection information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

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

As of Jun 21, 2026, the average yearly pay for machine learning object detection in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 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 Raleigh, NC? For Machine Learning Object Detection jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Object Detection jobs in Raleigh, NC are:
Machine Learning Object Detection jobs near you

Machine Learning Engineer

CoVar

Durham, NC • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning algorithms to address real-world customer issues and will have opportunities to present their work to high-level customers.
Responsibilities:
• help CoVar develop software and machine learning algorithms to solve real-world customer problems
• work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems
• present your work to high-level customers in the DoD and in the industry
• publish novel work in both classified and unclassified settings
Qualifications:
Required:
• Expertise in Python (including NumPy, pandas, and other packages)
• Experience with either PyTorch or TensorFlow
• Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices)
• Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression)
• Familiarity with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques
• B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
• Excellent technical communication skills
• Ability to work in Durham, NC (relocation assistance available)
• Eligibility for US security clearance (US citizenship is required)
Preferred:
• Deep knowledge of state-of-the-art in computer vision
• Department of Defense project experience
• Active US security clearance (secret or higher)
Company:
CoVar is a leader in machine learning and artificial intelligence solutions. Founded in 2011, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.

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