Machine Learning Engineer (Active TS/SCI Clearance REQUIRED) NEW

World Wide Technology - St. Louis, MO

Full-time - Mid Level

St. Louis, MO

5,001-10,000 employees

Wholesale Trade Agents and Brokers

About the position

As a Machine Learning Engineer at World Wide Technology, you will play a crucial role in enhancing national safety and security through advanced machine learning techniques. This position requires an active TS/SCI clearance and involves developing and implementing state-of-the-art computer vision and multimodal deep learning solutions to support intelligence operations. You will work with geospatial datasets to improve analytic workflows and address key intelligence questions, making a significant impact on the organization's mission.

Responsibilities

• Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines.
• Implement state-of-the-art computer vision and vision language models for image retrieval, segmentation tasks, and AI-assisted labeling.
• Conduct object detection and visual question answering using geospatial datasets such as satellite and aerial imagery.
• Optimize convolutional neural networks for object detection or segmentation tasks using satellite imagery.

Requirements

• 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 applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained models.
• Experience building secure containerized Python applications, including hardening and automating builds using CI/CD pipelines.
• Proficient in using Python to query and retrieve imagery from S3 compliant APIs and perform image preprocessing with libraries like Boto3 and NumPy.
• Experience with deep learning frameworks such as PyTorch or TensorFlow for optimizing CNNs.

Nice-to-haves

• Experience with the HuggingFace Transformers library and hub.
• Experience with OpenShift and container orchestration within Kubernetes.
• Experience with Vision Transformers such as DINO or DeiT.
• Experience communicating methodological choices and model results.
• Experience with Explainable AI techniques.

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