Machine Learning Engineer

Location

Springfield, VA | United States

Job description

Machine Learning Engineer Location Springfield, VA :

Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Be part of an exciting opportunity to contribute to one of the nation's most critical intelligence organizations. Your work directly impacts national security and global issues, you will have the chance to contribute to missions that are of paramount importance to the United States and its allies, know that that the environments and programs you support are making a difference on a global scale. Our customers operate at the forefront of technology, dealing with some of the most advanced defense, geospatial, and intelligence systems in the world.

• Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing 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.
• 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.
• Demonstrated professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.
• Demonstrated professional or academic experience using Python to queryy and retrieve imagery from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
• Demonstrated professional or academic experience with version control systems such as Gitlab.
• Demonstrated experience leveraging CUDA for GPU accelerated computing.

Required Skills:

• Education:
  • Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
• Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
• Demonstrated experience with verification and validation test benches.
• Demonstrated academic or professional experience communicating methodological choices and model results.

Desired Skills and Certifications:

• Demonstrated experience with Open Neural Net Exchange (ONNX).
• Demonstrated experience with Explainable AI (XAI) techniques.
• Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT.
• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.

Location: On Company Site US Citizenship Required

What you will get:

• Joining a team of technology experts and partners in the same mission
• A high-growth environment with plenty of opportunities to grow your career as the company grows
• Owner and Leadership team that come from technical backgrounds so they understand the day-to-day challenges of the technical consulting world and can offer real-life solutions and guidance
• Highly competitive benefits package that shows we want to hire the very best

Job tags

Salary