ZipRecruiter

Log In

1

Computer Vision Object Detection Jobs (NOW HIRING)

AIToolboard

Sr. Computer Vision Engineer

Plano, TX · On-site

$100 - $125/hr

... vision, object detection, image segmentation, video analytics, machine learning, mathematical modeling, AI and ML/AI Operations, and deep learning. • Design and deploy CV models for real-world ...

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Computer Vision Engineer Location: USA only. We're looking for a passionate Computer Vision ... You'll work on algorithms that power the ARTS platform: from object detection and scene ...

Compunnel

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

... object detection models to identify relevant logos and visual markers on product labels. • Define labeling strategies and iterate on data quality to improve computer vision model performance. • ...

next page

Showing results 1-20

All JobsComputer Vision Object Detection Jobs

Computer Vision Object Detection information

See salary details

$18

$53

$76

How much do computer vision object detection jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for computer vision object detection in the United States is $53.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $68.51 per hour, depending on experience, location, and employer.

What is computer vision object detection?

Computer Vision Object Detection is a field within artificial intelligence and computer science that focuses on enabling computers to identify and locate objects within digital images or videos. Using advanced algorithms and deep learning models, object detection systems can recognize multiple objects, determine their positions, and classify them into predefined categories. Applications of object detection include autonomous vehicles, surveillance systems, medical imaging, and retail analytics. Its effectiveness depends on the quality and diversity of the training data, as well as the complexity of the algorithms used.

How does a computer vision object detection specialist typically collaborate with software engineers and data scientists on projects?

In most organizations, Computer Vision Object Detection specialists work closely with software engineers and data scientists to integrate detection models into larger applications. They often collaborate on data collection and annotation, model training and tuning, and deploying solutions at scale. Regular cross-functional meetings and code reviews are common, ensuring that models meet performance requirements and align with broader product goals. Effective communication and teamwork are essential, as the role often involves translating technical model outputs into actionable insights for various stakeholders.

What are the key skills and qualifications needed to thrive as a computer vision object detection specialist, and why are they important?

To thrive in Computer Vision Object Detection, you need strong programming skills (especially in Python), a solid background in machine learning and deep learning, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience using annotation tools and cloud platforms, is crucial. Strong problem-solving ability, attention to detail, and effective communication skills help you design robust models and collaborate with multidisciplinary teams. These skills are essential for developing accurate and efficient object detection systems that address real-world challenges in industries like automotive, healthcare, and security.

What other helpful pages are available for Computer Vision Object Detection?

Other pages related to Computer Vision Object Detection:

Infographic showing various Computer Vision Object Detection job openings in the United States as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,464 per year, or $53.1 per hour.

Computer Vision Engineer (Object Detection & Tracking)

Manhattan, NY • On-site

ZeroMark, Inc.
See more jobs at ZeroMark, Inc.external

$122K - $144K/yr

Full-time

Re-posted 18 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.

Apply