Machine Learning Engineer TS/SCI

Arnold, Missouri, United States (St. Louis Metro)

Machine Learning Engineer

Deliver simple solutions to complex problems as a Machine Learning Engineer at Blackspoke. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.

With a career in application development, you'll make the end user's experience your priority and we'll make your career growth ours.

At Blackspoke, people are our differentiator. As a Machine Learning Engineer, you will help ensure today is safe and tomorrow is smarter.

Our work depends on a TS / SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO.

What you will be working on :

Increase your chances of an interview by reading the following overview of this role before making an application.

As a Machine Learning Engineer, you will :

• 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.

What you will bring to us (Must) :

• 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 in relevant fields.

Technical skills :

• 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, including hardening, scanning, and automating builds using CI / CD pipelines.
• Demonstrated professional or academic experience using Python to query and retrieve imagery from S3 compliant APIs and perform common image preprocessing such as chipping, augmenting, 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.

Skills and abilities desired :

• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
• Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated experience with verification and validation test benches.
• Demonstrated experience with Explainable AI (XAI) techniques.
• Demonstrated experience with Open Neural Net Exchange (ONNX).

What you will get :

• The opportunity to work on critical high-impact projects that contribute to national security.
• A high-growth environment with numerous opportunities for professional growth.
• A collaborative team environment that values innovation and efficiency.
• A competitive benefits package that underscores our commitment to attracting and retaining top talent.

J-18808-Ljbffr