Machine Learning Engineer - TS/SCI at Jobot
Springfield, VA 22159
About the Job
Government Contractor Seeks Talented Machine Learning Engineer
This Jobot Job is hosted by: Jacob Wolf
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $160,000 - $200,000 per year
A bit about us:
As a Machine Learning Engineer, you’ll deliver simple solutions to complex. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. You’ll 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.
Why join us?
Job Details
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
This Jobot Job is hosted by: Jacob Wolf
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $160,000 - $200,000 per year
A bit about us:
As a Machine Learning Engineer, you’ll deliver simple solutions to complex. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. You’ll 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.
Why join us?
- Competitive Base Salary
- Hybrid Role
- Bonus Incentives
- Solid Benefits Plan
Job Details
- Requires an active TS/SCI Clearance
- Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
- 8+ years of relevant experience.
- Role will be a hybrid remote role with up to the 3 days a week on a government site.
- 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.
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
Salary
160,000 - 200,000 /year