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Machine Learning Object Detection Jobs in Bound Brook, NJ

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ... Experience in segmentation and object detection of point cloud data or image data or other sensor ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Understanding of a variety of machine learning tasks, e.g ... Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

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 ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

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 ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

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 ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

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 ...

Tata Consultancy Services

AI Researcher

Edison, NJ

... 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.

GPTZero

Machine Learning Intern

New York, NY · On-site

As the leading AI detection platform, we empower educators, students, journalists, marketers, and ... What we're looking for At GPTZero, we ensure that machine learning models are created for the ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

... Object-oriented programming concepts * Machine Learning and Deep Learning: Good understanding of ... Model Performance Management: model monitoring, model validation, bias detection, explainability ...

Varsity Tutors

Machine Learning Tutor

Summit, NJ · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Elizabeth, NJ · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Westfield, NJ · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Bound Brook, NJ

Machine Learning Object Detection information

See Bound Brook, NJ salary details

$33.6K

$137.2K

$206.2K

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

As of Jun 14, 2026, the average yearly pay for machine learning object detection in Bound Brook, NJ is $137,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $165,100.00 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.
Machine Learning Object Detection jobs near you

Computer Vision Engineer (Object Detection & Tracking)

ZeroMark

New York, NY • On-site

$122K - $143K/yr

Full-time

Posted 21 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