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Annotation Engineer Jobs in Washington (NOW HIRING)

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Software Engineer

Washington, DC

$120K - $180K/yr

Software Engineers own userfacing features endtoend: slick React/NextJS interfaces, performant Node ... Design delightful data workflow such as instant search, realtime diffing, collaborative annotation ...

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Infographic showing various Annotation Engineer job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 39% Full Time, 28% Part Time, 25% Contract, and 7% Nights. Highlights an 33% Physical, 2% Hybrid, and 65% Remote job distribution.

Machine Learning Engineer, Detection and Tracking

Helsing

Washington, DC • On-site

Full-time

Posted 19 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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