- ACTIVE TS/SCI SECURITY CLEARANCE REQUIRED**
As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO and Springfield, VA.
How a Machine Learning Engineer Will Make An Impact
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.
Job Description
- 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.
WHAT YOU'LL NEED TO SUCCEED:
- Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
- Experience: 5+ years
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 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.
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).
Location: St. Louis, MO and Springfield, VA
Additional Information
- All your information will be kept confidential according to EEO guidelines.
- Compensation is unique to each candidate and relative to the skills and experience they bring to the position. The salary range for this position is typically $175-195k. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range.
- Highlights of our benefits include Health/Dental/Vision, 401(k) match, Accrued PTO, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and more!
- D2 is committed to maintaining a diverse environment. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
Job applicants that are interested in one of our openings and may require a reasonable accommodation to participate in the job application or interview process, should contact us to request an accommodation.
