Machine Learning Engineer

$101,566 - $131,584/Yr

Unclassified - Springfield, VA

Full-time - Mid Level

Remote - Springfield, VA

10,001+ employees

About the position

As a Machine Learning Engineer at GDIT, you will deliver innovative solutions to complex problems, focusing on enhancing the end-user experience. This role involves rapidly prototyping containerized multimodal deep learning solutions and data pipelines to support GeoAI capabilities, ultimately contributing to national safety and security. You will work with cutting-edge technologies to implement state-of-the-art computer vision and vision language models, addressing key intelligence questions using various geospatial datasets.

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 and segmentation tasks.
• Conduct AI-assisted labeling, object detection, and visual question answering using geospatial datasets.
• Optimize convolutional neural networks for object detection and segmentation tasks using satellite imagery.
• Build secure containerized Python applications, including hardening and automating builds using CI/CD pipelines.

Requirements

• Bachelor's 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 systems engineering.
• Demonstrated experience applying transfer learning and knowledge distillation methodologies.
• Experience building secure containerized Python applications.
• Proficiency in using Python for querying and retrieving imagery from S3 compliant APIs.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.

Nice-to-haves

• Experience with the HuggingFace Transformers library.
• 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

• 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