Machine Learning Engineer - TS/SCI with Polygraph

General Dynamics
United States
Workplace: OnsiteFull timeUSD 168,300 - 227,700 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Communication"]

Develop and adapt large language models and NLP methods to create new capabilities that improve intelligence analytics workflows. Build and tune neural networks (including LLMs) on custom datasets, evaluate performance, and translate results for technical and non-technical audiences. Use deep learning frameworks (PyTorch, TensorFlow, Keras), GPUs, Python/R, SQL, and tools like GitHub/Jenkins to deliver on customer-site AI/ML needs under TS/SCI with polygraph clearance.

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General Dynamics
General Dynamics
2 days ago

Machine Learning Engineer - TS/SCI with Polygraph

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Last checked: 10 minutes agoStatus: Live

Job Summary

Develop and adapt large language models and NLP methods to create new capabilities that improve intelligence analytics workflows. Build and tune neural networks (including LLMs) on custom datasets, evaluate performance, and translate results for technical and non-technical audiences. Use deep learning frameworks (PyTorch, TensorFlow, Keras), GPUs, Python/R, SQL, and tools like GitHub/Jenkins to deliver on customer-site AI/ML needs under TS/SCI with polygraph clearance.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and adapt LLM and NLP methodologies to create new capabilities for analytic workflows and intelligence questions.
  • •Build and tune neural networks on custom datasets, applying models to specific use cases and evaluating performance.
  • •Select appropriate Python libraries, prepare data, perform analyses, and improve model outcomes.
  • •Develop text-focused machine learning solutions such as classification and topic modeling, including ensembles.
  • •Communicate modeling decisions, methodologies, and results clearly to technical and non-technical audiences.
Travel: Low travel

Pay and Benefits

Salary: USD 168,300 - 227,700 annually
Perks:401kHealth InsuranceDentalVisionPaid LeaveParental Leave

Key Requirements

  • •8+ years of related experience in AI/ML and deep learning for modern models and architectures.
  • •Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras, including GPU-accelerated computing.
  • •Experience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases.
  • •Proficiency in Python or R and strong SQL skills, including working with CTEs, set operations, aggregated functions, and nested subqueries.
  • •US Citizenship required and TS/SCI with Polygraph clearance required (Top Secret SCI + Polygraph).
Experience:8+ years
Education:Bachelor's in IT discipline
Skills:Communication
Tech Stack:Artificial Intelligence (AI)KerasLarge Language Models (LLM)Natural Language Processing (NLP)PyTorchTensorFlowGPUsPythonRSQLGitHubJenkinsHugging Face TransformersFlaskSciKit-LearnSemantic searchTableauExplainable AI (XAI)ONNXNatural Language Processing

Eligibility

Nationality:US National
Security Clearance:TS/SCI with Polygraph

Company Brief

General Dynamics
Provides IT, systems engineering, cybersecurity, cloud, and mission support services to U.S. federal civilian and defense agencies, delivering large-scale technology solutions and managed services for national security and government operations.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Tysons / Fairfax, United States
WebsiteLinkedIn