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Machine Learning Object Detection Jobs in Reston, VA

Navstar

Machine Learning Engineer

Centreville, VA · On-site

$102K - $144K/yr

Duties * Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of ...

Samprasoft

Machine Learning Engineer

Mclean, VA · On-site

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning ... object detection, image generation), machine translation, language modeling, rankings and ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection ...

SOSi

Machine Learning Engineer- Senior

Chantilly, VA

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... Flexibility to support topics such as object detection, data triage, search/optimization, image ...

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... Flexibility to support topics such as object detection, data triage, search/optimization, image ...

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... Flexibility to support topics such as object detection, data triage, search/optimization, image ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

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

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Reston, VA

Machine Learning Object Detection information

See Reston, VA salary details

$32.8K

$134K

$201.3K

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

As of Jun 23, 2026, the average yearly pay for machine learning object detection in Reston, VA is $133,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $161,300.00 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 cities near Reston, VA are hiring for Machine Learning Object Detection jobs? Cities near Reston, VA with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you

Machine Learning Engineer, Detection and Tracking

Helsing

Washington, DC • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. The Machine Learning Engineer will own the detection and tracking models powering Helsing's products, managing the full model lifecycle from data assessment to deployment on edge platforms.
Responsibilities:
• Training and fine-tuning detection models (YOLO, DETR, Faster R-CNN, and similar architectures) on mission-specific datasets
• Implementing and improving multi-object tracking pipelines (SORT, DeepSORT, ByteTrack, or similar)
• Evaluating model performance: analyzing metrics, diagnosing failure modes, and iterating on data and model improvements
• Managing the data pipeline end-to-end: assessing raw data, coordinating annotation, curating datasets, and implementing augmentation strategies
• Optimizing models for deployment on SWaP-constrained and embedded platforms (quantization, pruning, TensorRT, ONNX export)
• Collaborating with systems engineers to integrate models into the broader Altra platform
• Working across sensor modalities as needed, including electro-optical, infrared, and other imaging sources
Qualifications:
Required:
• Have 5+ years of experience in applied machine learning or computer vision
• Have a Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's or PhD strongly preferred
• Have production experience training and deploying object detection models — not just research or academic projects
• Are proficient in Python and PyTorch or a comparable deep learning framework
• Have strong intuition for data quality; you can look at annotated datasets, training curves, and evaluation metrics and know what's wrong
• Have experience with the full model training lifecycle: data curation, annotation management, training, evaluation, and deployment
• Have experience optimizing models for deployment on SWaP-constrained and edge platforms (TensorRT, ONNX, quantization)
• Understand multi-object tracking and have implemented or worked with tracking algorithms in practice
• Can read and contextualize scientific papers in computer vision and apply findings to production systems
• Are a U.S. citizen with an active security clearance or the ability to obtain one
Preferred:
• Strong proficiency in Rust or C++ for production model deployment and optimization
• Experience with multiple sensor modalities — particularly infrared or thermal imaging
• Familiarity with MLOps tooling: experiment tracking (MLflow, Weights & Biases), dataset versioning, model registries
• Experience with annotation tools and workflows (CVAT, Label Studio, or similar)
• Background in computer vision beyond detection — segmentation, pose estimation, activity recognition
• Experience with simulators, emulators, or synthetic data generation for training and evaluation
• Experience deploying models on GPU-accelerated embedded platforms (NVIDIA Jetson, similar)
• Background in defense, intelligence, or other mission-critical environments
Company:
Helsing develops AI-powered defense tech, focusing on drones and software, to enhance military capabilities for democratic nations. Founded in 2021, the company is headquartered in Munich, DEU, with a team of 501-1000 employees. The company is currently Late Stage.

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