Machine Learning Engineer - TS/SCI with Polygraph

General Dynamics Information Technology, Inc.; McLean (VA); On-site; USD 168,000 - 228,000; Full time

Benefits offered by this job

401K with company match

Health and wellness packages

Professional growth & paid education

Paid vacation and holidays

Job summary

General Dynamics Information Technology, Inc. (GDIT) is seeking an Artificial Intelligence and Machine Learning Engineer to develop and tune LLMs and NLP pipelines, enabling smarter analytic workflows for national security workloads.

You’ll work with PyTorch, TensorFlow, Keras, and HuggingFace, deploying models on GPUs while collaborating with data teams and stakeholders. The role requires 8+ years of IT/AI experience, a Bachelor’s or Master’s in an IT field, and TS/SCI with Polygraph

Qualifications

• 8+ years of related experience in AI/ML
• Bachelor or Master’s in an IT discipline or equivalent
• Experience with modern deep learning frameworks (PyTorch, TensorFlow, Keras)
• Hands-on GPU-accelerated computing experience
• Experience testing/validating AI systems focusing on LLMs
• Experience designing experiments to test LLM performance
• Experience tuning neural networks on custom datasets
• Proficiency in Python or R; solid SQL and data wrangling
• Version control with GitHub; CI/CD with Jenkins

Responsibilities

• Develop and adapt Large Language Models (LLMs) and NLP methods using AI/ML frameworks
• Improve analytic workflows and address key intelligence questions with AI solutions
• Test, evaluate, and validate AI system performance (LLMs) and benchmarks
• Design and execute experiments to measure LLM performance and reliability

Skills

PyTorch

TensorFlow

Keras

LLM/NLP

Python

SQL

GitHub

Jenkins

HuggingFace

GPU computing

Education

Bachelor's or Master's in IT

Tools

Flask

ONNX

Tableau

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

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

• 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)
• Professional or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems (Key experience)
• Professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark. (Key exeperience)
• 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

Security Clearance Level: TS/SCI with Polygraph

Skills and abilities desired

• Experience working with Hugging Face Transformers and its model hub.
• Demonstrated professional or academic experience in the development of benchmarks to measure LLM performance. (Key experience)
• 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

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

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.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world.

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