Machine Learning Engineer (Active TS/SCI Clearance REQUIRED)

World Wide Technology - Saint Louis, MO

Full-time - Mid Level

Saint Louis, MO

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About the position

The Machine Learning Engineer position at World Wide Technology involves developing and optimizing machine learning models, particularly in the context of satellite imagery. The role requires a strong background in computer science and machine learning, with a focus on applying advanced methodologies to enhance model performance. The position is based in St. Louis, Missouri, and requires an active TS/SCI security clearance.

Responsibilities

• Apply transfer learning and knowledge distillation methodologies to fine-tune pre-trained models for segmentation and object detection tasks using satellite imagery.
• Build secure containerized Python applications, including hardening, scanning, and automating builds using CI/CD pipelines.
• Use Python to query and retrieve imagery from S3 compliant APIs and perform image preprocessing tasks.
• Optimize convolutional neural networks (CNN) using deep learning frameworks such as PyTorch or TensorFlow for object detection or segmentation tasks.
• Leverage CUDA for GPU accelerated computing.

Requirements

• Bachelor or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience.
• 5+ years of experience in applying transfer learning and knowledge distillation methodologies.
• Experience building secure containerized Python applications with CI/CD pipelines.
• Experience using Python for querying and preprocessing imagery from S3 compliant APIs.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with version control systems such as GitLab.
• Experience leveraging CUDA for GPU accelerated computing.

Nice-to-haves

• Experience with the HuggingFace Transformers library and hub.
• Experience with OpenShift and container orchestration within Kubernetes.
• Experience with Vision Transformers (ViT) such as DINO or DeiT.
• Experience communicating methodological choices and model results.
• Experience with verification and validation test benches.
• Experience with Explainable AI (XAI) techniques.
• Experience with Open Neural Net Exchange (ONNX).

Benefits

• Health, Dental, and Vision Care
• Onsite Health Centers
• Employee Assistance Program
• Wellness program
• Competitive pay
• Profit Sharing
• 401k Plan with Company Matching
• Life and Disability Insurance
• Tuition Reimbursement
• PTO & Holidays
• Parental Leave
• Sick Leave
• Military Leave
• Bereavement
• Nursing Mothers Benefits
• Voluntary Legal
• Pet Insurance
• Employee Discount Program