Machine Learning Engineer

$101,566 - $131,584/Yr

General Dynamics - Springfield, VA

Full-time - Mid Level

Springfield, VA

10,001+ employees

Transportation Equipment Manufacturing

About the position

As a Machine Learning Engineer at GDIT, you will play a pivotal role in enhancing national safety and security through advanced technology solutions. Your primary responsibility will be to deliver innovative and effective machine learning solutions tailored to the unique needs of our intelligence customers. This position requires a Top Secret/SCI clearance and is based in Springfield, Virginia, where you will work onsite. You will be at the forefront of developing containerized multimodal deep learning solutions and data pipelines that enable GeoAI capabilities, significantly improving analytic workflows and addressing critical intelligence questions. In this role, you will rapidly prototype and implement state-of-the-art computer vision and vision language models to conduct various tasks such as image retrieval, segmentation, AI-assisted labeling, object detection, and visual question answering. You will work with diverse geospatial datasets, including satellite and aerial imagery, full-motion video, and ground photos, to derive actionable insights and enhance the capabilities of our intelligence operations. Your contributions will directly impact the effectiveness of our clients' missions, ensuring that today is safe and tomorrow is smarter. At GDIT, we prioritize the growth and development of our employees. You will have access to cutting-edge technology and professional growth opportunities, including paid education and certifications, to help you advance your career in application development and machine learning. We believe that our people are our greatest asset, and we are committed to fostering an environment where you can thrive and make a meaningful impact.

Responsibilities

• Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines.
• Implement state-of-the-art computer vision and vision language models for various tasks.
• Conduct image retrieval, segmentation tasks, 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.
• Query and retrieve imagery from S3 compliant APIs and perform common image preprocessing tasks.

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 related experience in machine learning and application development.
• Demonstrated experience applying transfer learning and knowledge distillation methodologies.
• Experience building secure containerized Python applications with CI/CD pipelines.
• Proficient in using Python for querying and retrieving imagery from S3 compliant APIs.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Familiarity 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.
• Familiarity with Vision Transformers such as DINO or DeiT.
• Experience communicating methodological choices and model results.
• Experience with verification and validation test benches.
• Familiarity with Explainable AI techniques.
• Experience with Open Neural Net Exchange (ONNX).

Benefits

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Paid vacation and holidays