Machine Learning Object Detection information
See New York, NY salary details
$34.5K - $50.6K
1% of jobs
$50.6K - $66.7K
1% of jobs
$66.7K - $82.8K
5% of jobs
$82.8K - $98.9K
6% of jobs
$112.2K is the 25th percentile. Wages below this are outliers.
$98.9K - $115K
14% of jobs
$115K - $131.1K
14% of jobs
The median wage is $139.2K / yr.
$131.1K - $147.2K
18% of jobs
$147.2K - $163.4K
14% of jobs
$166.7K is the 75th percentile. Wages above this are outliers.
$163.4K - $179.5K
12% of jobs
$179.5K - $195.6K
11% of jobs
$195.6K - $211.7K
5% of jobs
How much do machine learning object detection jobs pay per year?
As of Aug 14, 2026, the average yearly pay for machine learning object detection in New York, NY is $140,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,600.00 per year, depending on experience, location, and employer.
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.
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.
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 near New York, NY are hiring for Machine Learning Object Detection jobs?
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