← Serch more jobs

Senior Computer Vision AI/ML Engineer (TS/SCI) {S}

LinkedIn ARKA Group, LP Aurora, CO
Not Applicable Posted April 5, 2026 Job link
Thinking about this job
Not Met Priorities
What still needs stronger evidence
Requirements
  • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
  • Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance
  • Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV
  • Experience training wither convolutional-based CV models (e.g.
  • YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
  • Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers
  • 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models
  • Active TS/SCI U.S.
  • Government Security Clearance
  • Active TS/SCI with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S.
  • Government Security Clearance
Preferred Skills
  • Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios
  • MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields
  • Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL)
  • Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion
  • Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems
  • Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR
  • Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc.
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with version control processes and tools for code version control, data version control, and model version control
  • Experience with Linux
  • Experience with implementing tracking and fusion, and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization
  • Experience shaping and writing proposals
  • Active TS/SCI with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S.
  • Government Security Clearance
Education
  • (Not required) – BS in machine learning, computer science, computer vision, mathematics, or relevant fields
  • (Not required) – MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields