Machine Learning Engineer

$101,566 - $131,584/Yr

General Dynamics - Springfield, VA

Full-time - Mid Level

Remote - Springfield, VA

10,001+ employees

Transportation Equipment Manufacturing

About the position

As a Machine Learning Engineer at GDIT, you will be responsible for delivering innovative solutions to complex problems, focusing on the unique requirements of clients in the intelligence sector. This role emphasizes the importance of user experience in application development while providing opportunities for career growth. You will work on cutting-edge technologies to enhance national safety and security through advanced machine learning techniques.

Responsibilities

• Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines.
• Implement State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM).
• Conduct image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets.
• Utilize deep learning frameworks such as PyTorch or Tensorflow for optimizing convolutional neural networks (CNN).
• Build secure containerized Python applications and automate builds using CI/CD pipelines.

Requirements

• Bachelor or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience.
• 5+ years of related experience in machine learning and application development.
• Demonstrated experience applying transfer learning and knowledge distillation methodologies.
• Experience with deep learning frameworks such as PyTorch or Tensorflow.
• Proficiency in Python for querying and retrieving imagery from S3 compliant APIs.

Nice-to-haves

• Experience with the HuggingFace Transformers library and hub.
• Familiarity with OpenShift and container orchestration within Kubernetes.
• Experience with Vision Transformers (ViT) such as DINO or DeiT.
• Experience with Explainable AI (XAI) techniques.

Benefits

• 401K with company match
• Comprehensive health and wellness packages
• Professional growth opportunities including paid education and certifications
• Paid vacation and holidays
• Short and long-term disability benefits
• Life and accidental death insurance