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General Dynamics Information Technology

Machine Learning Engineer

General Dynamics Information Technology
McLean, VA $168k - $228k/yr Full time Posted 27d ago
AI Ai Ml Analytics Artificial Intelligence Business Intelligence Data & Ai Data Analysis Data Analytics Data Platform Data Processing Data Science Deep Learning DevOps Digital Marketing Generative AI Generative Ai Applications Information Technology (IT) Keras Large Language Models Machine Learning Machine Learning Engineer Machine Learning Evaluation Machine Learning Inference Machine Learning Modeling Machine Learning Models Machine Learning Operations Machine Learning Platform NLP Open Source Ai Programming Languages PyTorch Reporting and Analytics SQL TensorFlow
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Job Description

Build intelligence with cutting-edge AI. General Dynamics Information Technology (GDIT) is seeking an Artificial Intelligence and Machine Learning Engineer to develop and adapt Large Language Models (LLMs) and Natural Language Processing (NLP) methods that strengthen analytic workflows and support key intelligence questions.

  • Compensation: $168,300 - $227,700 per year
  • 401(k) with company match
  • Comprehensive health and wellness packages
  • Paid vacation and holidays to rest and recharge
  • Professional growth: paid education and certifications
  • Internal mobility support through a dedicated team focused on career ownership
  • Learn with modern tooling across GPUs, LLM/NLP frameworks, and applied model development

Responsibilities

  • Develop and adapt Large Language Models (LLM) and NLP methodologies using AI/ML frameworks and programming languages to deliver new capabilities for analytic workflows and intelligence questions.
  • Apply hands-on GPU accelerated computing to support deep learning and model development.
  • Tune neural networks (including LLMs) on custom datasets and apply them to defined use cases.
  • Build AI/ML models and ensembles, select Python libraries, prepare and analyze data, and evaluate model performance.

Requirements

  • Bachelor or Master’s Degree in an IT discipline, or equivalent combination of education, technical certifications/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 GPU experience for accelerated computing (key experience).
  • Experience tuning neural networks (including LLMs) on custom datasets for specific applications.
  • Experience building AI/ML models and ensembles, including selecting Python libraries, preparing data, conducting analysis, and evaluating performance.
  • Proficiency in Python or R.
  • Solid SQL skills, including common table expressions, set operations, aggregated functions, and nested subqueries.
  • Experience with GitHub and Jenkins for version control and pipeline workflows.
  • Experience 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 ML solutions such as classification and topic modeling using SciKit-Learn or deep learning approaches.
  • Experience developing applications for semantic search.
  • Proficiency creating dashboards and visualizations in Tableau.
  • Ability to communicate modeling decisions, methodologies, and results to both technical and non-technical audiences.
  • Experience building or using verification and validation test benches.
  • Familiarity with Explainable AI (XAI) techniques.
  • Experience with ONNX (Open Neural Network Exchange).
  • U.S. Citizenship required.
  • Top Secret SCI + Polygraph clearance required.
  • Travel: less than 10%.

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

Location: McLean, Virginia (On Customer Site, Onsite Workplace)

Requisition: RQ229011

Requisition type: Regular

Travel required: Less than 10%

Clearance level: Top Secret SCI + Polygraph

Identity Verification Process

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

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