Machine Learning Engineer - TS/SCI with Polygraph

General Dynamics Information Technology, Inc.

• $168K — $227K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of relevant experience in AI and machine learning
  • Bachelor's or Master's Degree in an IT discipline or equivalent experience
  • Proficiency with deep learning frameworks like PyTorch, TensorFlow, and Keras
  • Hands-on GPU experience for accelerated computing
  • Strong skills in Python or R and SQL

Responsibilities

  • Develop Large Language Models and NLP methodologies using AI/ML frameworks
  • Enhance analytic workflows and address intelligence questions
  • Adapt cutting-edge AI/ML solutions for specific use cases
  • Tune neural networks and apply them to custom datasets
  • Build, evaluate, and optimize AI/ML models and ensembles

Benefits

  • 401K with company match
  • Comprehensive health and wellness packages
  • Professional growth opportunities including paid education and certifications
  • Rest and recharge with paid vacation and holidays
  • Access to cutting-edge technology
Full Job Description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Artificial Intelligence (AI), Keras, Language Models, PyTorch, Tensorflow

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

Yes

Job Description:

Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Engineer. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

At GDIT, people are our differentiator. As a Machine Learning Engineer, you will help ensure today is safe and tomorrow is smarter.


HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT

  • Develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.

WHAT YOU’LL NEED TO SUCCEED:

  • Education: Bachelor or Master’s Degree in an IT discipline or the equivalent combination of education, technical certifications or training, or work experience
  • Experience: 8+ years
  • Technical skills:
  • Professional or academic experience working 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 appropriate Python libraries, preparing data, performing analyses, and evaluating model performance.
  • Proficiency in Python or R
  • Solid SQL skills, including working with to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Experience using version control tools such as GitHub and Jenkins.
  • Security Clearance Level: TS/SCI with Polygraph
  • Location: McLean, VA, On Customer Site
  • Skills and abilities desired:
  • Experience working with Hugging Face Transformers and its model hub.
  • Experience with cloud‑based development and architecture.
  • Experience with front‑end or application frameworks like 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 communicate modeling decisions, methodologies, and results clearly 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).
  • US Citizenship Required

GDIT IS YOUR PLACE:

  • 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
  • Rest and recharge with paid vacation and holidays

#OpportunityOwned

#GDITCareers

#WeAreGDIT

#JET

#GDITEnhanced2026

#VA_2026Alumni

The likely salary range for this position is $168,300 - $227,700. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA VA McLean

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 


Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

 

 

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