Machine Learning Engineer - TS/SCI with Polygraph
General Dynamics Information Technology•McLean, VA
•$168,300 - $227,700•Onsite
About The Position
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.
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 related experience
- 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.
- TS/SCI with Polygraph Security Clearance Level
- US Citizenship Required
Nice To Haves
- 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).
Responsibilities
- 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.
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
- Rest and recharge with paid vacation and holidays
- Variety of medical plan options, some with Health Savings Accounts
- Dental plan options
- Vision plan
- 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.
- Full flex work weeks where possible
- Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- Short and long-term disability benefits
- Life insurance
- Accidental death and dismemberment insurance
- Personal accident insurance
- Critical illness insurance
- Business travel and accident insurance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
