Machine Learning Engineer

General Dynamics Information Technology (GDIT) is seeking an Artificial Intelligence and Machine Learning Engineer to help develop and adapt Large Language Models (LLMs) and Natural Language Processing (NLP) methodologies. This McLean, VA onsite role focuses on improving analytic workflows and supporting key intelligence questions through hands-on model development, tuning, and evaluation in secure environments.

In this position, you will work with modern deep learning frameworks, GPU-accelerated computing, and a variety of AI/ML tooling to build capabilities for data-driven solutions. You will also collaborate on implementation details across model development, ensembles, application-oriented use cases, and clear communication of modeling decisions to technical and non-technical audiences.

Responsibilities

• Develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using AI/ML frameworks and programming languages to create new capabilities for analytic workflows and intelligence question support.
• Apply hands-on GPU experience for accelerated computing.
• Tune neural networks, including LLMs, on custom datasets and apply models to specific use cases.
• Build AI/ML models and ensembles, select appropriate Python libraries, prepare data, analyze results, and evaluate model performance.

Requirements

• Bachelor or Master’s Degree in an IT discipline, or the equivalent combination of education, technical certifications or training, or work experience.
• 8+ years of experience.
• Professional or academic experience with modern deep learning frameworks such as PyTorch, TensorFlow, or Keras (key experience).
• Hands-on experience using GPUs for accelerated computing (key experience).
• Experience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases.
• Experience building AI/ML models and ensembles, selecting Python libraries, preparing data, performing analyses, and evaluating model performance.
• Proficiency in Python or R.
• Solid SQL skills, including use of common table expressions, set operations, aggregated functions, and nested subqueries.
• Experience with version control tools such as GitHub and Jenkins.
• Security Clearance Level: TS/SCI with Polygraph.
• Location: McLean, VA, On Customer Site.
• Experience working with Hugging Face Transformers and its model hub.
• Experience with cloud-based development and architecture.
• Experience with front-end or application frameworks such as Flask.
• Ability to build text-focused machine learning solutions (classification, topic modeling) using SciKit-Learn or deep-learning approaches.
• Experience developing applications for semantic search.
• Proficiency creating dashboards and visualizations in Tableau.
• Ability to clearly communicate modeling decisions, methodologies, and results to technical and non-technical audiences.
• Experience building or using verification and validation test benches.
• Familiarity with Explainable AI (XAI) techniques.
• Experience working with ONNX (Open Neural Network Exchange).
• U.S. Citizenship Required.
• Travel: Less than 10%.
• Top Secret SCI + Polygraph.

Technologies

• Keras, PyTorch, Tensorflow, Python, R, SQL
• GitHub, Jenkins
• Hugging Face Transformers, Flask
• SciKit-Learn, Tableau
• ONNX (Open Neural Network Exchange)
• GPUs, Large Language Models (LLM), Natural Language Processing (NLP), XAI

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 to rest and recharge

Role Details

• Req#: RQ229011
• Requisition Type: Regular
• Public Trust: None
• Location: McLean, Virginia (Onsite Workplace)
• Years of Experience: 8 + years of related experience
• Travel Required: Less than 10%
• Citizenship: U.S. Citizenship Required

Compensation

The likely salary range for this position is $168,300 - $227,700 per year.

Identity Verification Process

• On camera during virtual interviews
• We reserve the right to take your picture to verify your identity and prevent fraud
• Authorize the collection, processing, and use of your biometric data for identity verification and security purposes