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Machine Learning Object Detection Jobs (NOW HIRING)

Navstar

Machine Learning Engineer

Centreville, VA

$102K - $144.38K/yr

Duties * Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of ...

Gather AI

Director of Machine Learning

Pittsburgh, PA

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Drive improvements to core computer vision models (object detection, segmentation, OCR) used across ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Drive improvements to core computer vision models (object detection, segmentation, OCR) used across ...

Gather AI

Director of Machine Learning

Pittsburgh, PA

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Drive improvements to core computer vision models (object detection, segmentation, OCR) used across ...

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Machine Learning Object Detection information

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$31.5K

$128.8K

$193.5K

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

As of Jun 3, 2026, the average yearly pay for machine learning object detection in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 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.
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What cities are hiring for Machine Learning Object Detection jobs? Cities with the most Machine Learning Object Detection job openings:
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Machine Learning Object Detection jobs near you
Infographic showing various Machine Learning Object Detection job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Data Scientist - Computer Vision

Data Scientist - Computer Vision

SPAR Information Systems LLC

Santa Clara, CA • On-site

Contractor

Posted 8 days ago

Job description

Client Job Description: Title: Data Scientist -- Computer Vision
Location: Onsite – Santa Clara, CA
Job Description/ Important details:
1. Solid knowledge of image processing: Filtering, Binary Morphology, Perspective / Affine transformation, Edge Detection
2. Machine Learning: Regression, Supervised and Unsupervised Learning,
3. Knowledge of HDR and Deep Learning object detection.
Job Description:
Additional Sills: Machine Learning,Regression,Binary,Pca