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Machine Learning Object Detection Jobs in New York, NY

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Design and implement AI models for image classification, object detection, OCR, and feature ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Design and implement AI models for image classification, object detection, OCR, and feature ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Design and implement AI models for image classification, object detection, OCR, and feature ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Design and implement AI models for image classification, object detection, OCR, and feature ...

... vision, deep learning, and autonomous systems. * Work on topics such as object detection, pose ... Strong academic foundation in machine learning, image processing, linear algebra, and probability.

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Machine Learning Object Detection information

See New York, NY salary details

$34.5K

$140.9K

$211.7K

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.

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 job categories do people searching Machine Learning Object Detection jobs in New York, NY look for?

The top searched job categories for Machine Learning Object Detection jobs in New York, NY are:

What cities near New York, NY are hiring for Machine Learning Object Detection jobs?

Cities near New York, NY with the most Machine Learning Object Detection job openings:

Computer Vision Engineer (Object Detection & Tracking)

ZeroMark, Inc.

Manhattan, NY • On-site

$122K - $144K/yr

Full-time

Re-posted 22 days ago


Job description

Job Summary:
ZeroMark is a company that builds AI-driven counter-drone systems designed for combat situations. They are seeking a Principal Computer Vision Engineer to develop and optimize advanced computer vision algorithms for aerial object detection and tracking, collaborating with cross-functional teams to enhance their defense systems.
Responsibilities:
• Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
• Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning to ensure our solutions remain at the forefront of technology.
• Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.
• Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
• Analyze and interpret complex data sets to improve detection and tracking accuracy.
• Help ensure compliance with industry standards and regulatory requirements in all developed solutions.
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
• Minimum of 2 years of experience in computer vision and object detection.
• Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.
• Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
• In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
• Excellent problem-solving skills, with the ability to think critically and innovate.
• Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work effectively in a team-oriented, collaborative environment.
Preferred:
• Experience with drone technology and UAV systems.
• Knowledge of radar, LIDAR, and other sensing technologies.
• Experience in 3d perception or similar fields.
• Familiarity with cloud computing platforms and edge computing.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.