Data Scientist for Geospatial Intelligence
7 days ago
We are seeking a highly skilled Data Scientist to join our team in Springfield, VA. As a Machine Learning Engineer, you will play a critical role in developing cutting-edge solutions for our customers.
Key Responsibilities- Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.
- Implement State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
- TS/SCI Clearance.
- Bachelor or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
- 5+ years of experience.
- Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
- Experience building secure containerized Python applications, including hardening, scanning, automating builds using CI/CD pipelines.
- Experience using Python to query and retrieve imagery from S3 compliant APIs, perform common image preprocessing such as chipping, augmenting, or converting using common libraries like Boto3 and NumPy.
- Experience with deep learning frameworks such as PyTorch or TensorFlow to optimize convolutional neural networks (CNN) for object detection or segmentation tasks using satellite imagery.
- Experience with the HuggingFace Transformers library and hub.
- Experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
- Experience with Vision Transformers (ViT) such as DINO or DeiT.
We offer competitive salaries, excellent benefits, and opportunities for growth and development. Our company is committed to providing a positive and inclusive work environment that values diversity, equity, and inclusion.
Compensation and BenefitsThe estimated annual salary for this position is $120,000 - $160,000 based on location and experience. We also offer a comprehensive benefits package, including health insurance, retirement plans, and paid time off.
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