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Computer Vision Object Detection Jobs (NOW HIRING)

Detect

AI Engineer - Computer Vision

Miami, FL · On-site

Design, train, and evaluate deep learning models for object detection, segmentation and ... Strong foundation in computer vision and deep learning, with hands-on experience in areas such as ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Responsibilities : • Develop and implement real-time computer vision algorithms for object detection, tracking, pose estimation, and motion analysis. • Work with high-frame-rate, multi-camera ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Develop and implement real-time computer vision algorithms for object detection, tracking, pose estimation, and motion analysis. * Work with high-frame-rate, multi-camera systems to extract 3D ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Develop and implement real-time computer vision algorithms for object detection, tracking, pose estimation, and motion analysis. * Work with high-frame-rate, multi-camera systems to extract 3D ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$52.75 - $69.50/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

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Computer Vision Object Detection information

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

As of Jun 11, 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.

Is CV a part of ML?

Computer Vision (CV) is a field within artificial intelligence that often overlaps with machine learning (ML). Many CV applications, such as object detection, rely on ML algorithms like deep learning to analyze and interpret visual data. Professionals in computer vision frequently use ML frameworks like TensorFlow or PyTorch to develop models.

Is computer vision a dead field?

Computer vision object detection remains a highly active area within AI, with ongoing research and industry applications such as autonomous vehicles, security, and healthcare. Professionals in this field use skills in deep learning, neural networks, and tools like OpenCV and TensorFlow, and demand continues to grow as technology advances.

Is Yolo considered AI?

YOLO (You Only Look Once) is a real-time object detection algorithm used in computer vision, which is a subset of artificial intelligence. As part of computer vision tasks, it employs machine learning techniques to identify and classify objects in images or videos, making it a form of AI technology relevant to roles like computer vision object detection.

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.

Is ML a high paying job?

Machine learning (ML) roles, including those in computer vision object detection, are generally well-paid due to high demand for specialized skills such as programming, data analysis, and experience with frameworks like TensorFlow or PyTorch. Salaries vary based on experience, location, and industry, but professionals with advanced skills in ML can earn competitive compensation packages. Certifications and a strong portfolio can also enhance earning potential in this field.

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.
Infographic showing various Computer Vision Object Detection job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 14% Part Time, 2% Contract, and 2% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $110,464 per year, or $53.1 per hour.

Computer Vision Engineer (Object Detection & Tracking)

ZeroMark

New York, NY • On-site

$122K - $143K/yr

Full-time

Posted 19 days ago

Job description

About Us
ZeroMark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.
We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats-because a $200 drone shouldn't require a million-dollar countermeasure.
Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world-we're too busy actually doing it. Watch us in action here. Dark humor required, thick skin recommended.
If you want to make an actual impact-and have some unforgettable Tuesday afternoons along the way-let's talk. We're all about delivering practical, field-tested tech, not just theories.
What You'll Do
We are seeking an experienced and highly motivated Principal Computer Vision Engineer to join our team. This role is focused on developing and optimizing advanced computer vision algorithms for aerial object detection and tracking. The ideal candidate will have a strong background in computer vision, deep learning, and deep learning, with experience in the defense sector.
  • 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.

What You'll Need
  • 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.

Bonus Points
  • 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.

What We Offer
  • Competitive salary, equity, and benefits package.
  • Opportunity to work on cutting-edge technology with a significant impact on national security.
  • A collaborative work environment that values innovation.
  • Professional development opportunities and career growth.

Apply