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Machine Learning Object Detection Jobs in Virginia

Apex Systems

Data Scientist (AI/ML)

Alexandria, VA · On-site

Leverage artificial intelligence, machine learning, and data science methodologies to automate ... Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and ...

Varsity Tutors

Machine Learning Tutor

Fairfax, VA · Remote

$18 - $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

Virginia Beach, VA · Remote

$18 - $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

Alexandria, VA · Remote

$18 - $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

Norfolk, VA · Remote

$18 - $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

Blacksburg, VA · Remote

$18 - $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

Leesburg, VA · Remote

$18 - $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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Machine Learning Object Detection information

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 are popular job titles related to Machine Learning Object Detection jobs in Virginia? For Machine Learning Object Detection jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Virginia look for? The top searched job categories for Machine Learning Object Detection jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Object Detection jobs? Cities in Virginia with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Quantum Engineer SME with Security Clearance

Quantum Engineer SME with Security Clearance

DCS Corporation

Springfield, VA • On-site

$86K - $115K/yr

Other

Posted 16 days ago

Job description

DCS is an employee-owned organization with a reputation for agile and efficient development of technology solutions for U.S. Defense, Aerospace, Human Factors, and Security markets. We continue to provide innovative solutions with our multidisciplinary teams formed with exceptional employees. The DCS Air and Space Technology Sector are seeking a qualified candidate to apply subject matter expertise in the areas of quantum engineering, analysis, and system design of complex programming projects supporting National Agencies. The Quantum Engineer SME will provide expert guidance on quantum computing technologies and deliver advanced support for complex GEOINT challenges. This role includes conducting analysis, designing systems, and evaluating performance using both quantum and classical methods. Essential Job Functions: Deliver technical expertise and analysis across quantum computing technologies, including quantum machine learning, quantum architectures, and quantum simulation. Provide functional analysis, system design, integration support, documentation, and strategic advice for exceptionally challenging GEOINT problems requiring specialized knowledge in quantum computing. Apply principles and methods from quantum machine learning and related quantum computing fields to address highly complex, narrowly scoped technical challenges in engineering and other scientific applications. Perform trade studies and conduct analyses to evaluate proposed quantum machine learning approaches, review technical reports, assess product-quality impacts, and characterize performance using quantum simulation or related technologies to support verification and quality assurance. Serve as an SME across topic areas such as R&D in quantum computing, quantum machine learning, classical machine learning, classical computing, and GEOINT data domains. Required Skills: Due to the sensitivity of customer related requirements, US citizenship is required. Must have an active TS/SCI security clearance. PHD in Computer Science, Physics, Mathematics, or a related discipline with 10+ years; or a Masters degree with 12+ years experience. More than 5 years of demonstrated experience supporting quantum computing. Experience working within the Intelligence Community or related mission areas. At least 3 years of experience in one or more of the following: Quantum Algorithms, Quantum Machine Learning, Quantum Clouds, quantum simulation tools, PennyLane, Qiskit, or Quantum Encoding. At least 3 years of experience developing algorithms in one or more areas such as image processing, object detection, image classification, synthetic image generation, anomaly detection, or graph - based routing. At least 3 years of experience developing algorithms related to GEOINT missions, Electro - Optical imagery, and/or Hyper - Spectral Imagery. At least 2 years of experience creating briefing materials and technical documentation to translate quantum computing concepts for non - technical audiences. Desired Skills: One of the following experience/education combinations: 15 years of experience and a PhD, or 18 years of experience and a MA/MS degree, or 20 years of experience with a BA/BS degree, along with recognition in a discipline relevant to the position. Recognition may include distinctions from federal, national, or international professional organizations or academia, as well as relevant publications in reputable media.
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About DCS

Sourced by ZipRecruiter

DCS Corp is a renowned name in the technology industry, headquartered in Alexandria, VA, US. Found in the late 1970s, DCS Corp provides a broad spectrum of advanced technology, engineering, and analytic solutions for national security clients. The firm specializes in delivering sophisticated systems and technology for land, air, and maritime platforms. They are known for being deeply committed to their mission of enhancing national security.

Industry

Guided missile and space vehicle manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Alexandria, VA, US

Year founded

1977

Social media

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