Accenture
Cleared Computer Vision Scientist
$108K–$203K
Washington, DC +1 · Full-time · Posted Oct 8, 2025
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- Hands-on experience is required; no number of years specified.
- Education
- Advanced degree in a computer science, technology, engineering, or mathematics (STEM) related field is a bonus; Ph.D. preferred, but not required.
- Visa sponsorship
- U.S. work authorization must not now or in the future require visa sponsorship.
About the job
Develops, evaluates, and deploys computer vision models and custom algorithms for federal government missions, from data preparation and experimentation through production integration and optimization.
What you'll do
- Develop, train, fine-tune, and evaluate computer vision models and custom algorithms; define use cases, methodologies, and benchmarks.
- Deploy, maintain, and optimize models, data processes, and computer vision algorithms in production systems.
- Collaborate on data collection and preparation, analyze experiments, and document code, methods, and results.
What they ask for
- Hands-on experience with computer vision libraries and deep learning frameworks.
- Proficiency in Python, C/C++, or Rust; strong understanding of CNNs, transformers, and other advanced architectures.
- Hands-on experience developing computer vision models at scale from inception to business impact, including designing custom architectures and evaluation benchmarks.
- U.S. citizenship with no dual citizenship; active Top Secret, TS/SCI, or TS/SCI with polygraph clearance.
Nice to have
- Advanced STEM-related degree; Ph.D. preferred but not required.
- Experience with MLOps/CI/CD tools, cloud ML pipelines, production ML systems, or additional image modalities.
Pay
$108,400 — $203,400 USD (base pay)
Tools
OpenCV, PyTorch, TensorFlow, Python, C/C++, Rust, MLFlow, WandB
AI focus
Builds and deploys computer vision and deep learning models, including for geospatial, biometrics, 3D vision, semantic extraction, object detection, image segmentation, classification, and tracking.
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