Overview
On Site
Full Time
Skills
Science
Security Clearance
Emerging Technologies
Research
Machine Learning Operations (ML Ops)
Innovation
Open Source
Knowledge Base
Documentation
Training
Generative Artificial Intelligence (AI)
Computer Science
Mathematics
Statistics
Python
Machine Learning (ML)
PyTorch
Keras
TensorFlow
scikit-learn
Communication
Collaboration
Artificial Intelligence
Cloud Computing
Military
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2507773
Location: CHANTILLY, VA, US
Date Posted: 2025-07-23
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 75 % of the Time
Minimum Clearance Required: Top Secret
Clearance Level Must Be Able to Obtain: TS/SCI with Poly
Potential for Remote Work: Yes
Description
SAIC is a premier technology integrator solving our nation's most complex modernization and readiness challenges. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes high-end solutions in engineering, IT, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions.
Position Overview
SAIC invites applications from exceptional candidates for the position of Machine Learning Engineer in our AI Innovation Factory. This is a hybrid job located in the Northern Virginia area. Up to 75% annual travel is required.
Responsibilities
Qualifications
Required Qualifications:
Location: CHANTILLY, VA, US
Date Posted: 2025-07-23
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 75 % of the Time
Minimum Clearance Required: Top Secret
Clearance Level Must Be Able to Obtain: TS/SCI with Poly
Potential for Remote Work: Yes
Description
SAIC is a premier technology integrator solving our nation's most complex modernization and readiness challenges. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes high-end solutions in engineering, IT, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions.
Position Overview
SAIC invites applications from exceptional candidates for the position of Machine Learning Engineer in our AI Innovation Factory. This is a hybrid job located in the Northern Virginia area. Up to 75% annual travel is required.
Responsibilities
- Assist senior team members to seamlessly integrate machine learning innovations into new and existing user-facing systems.
- Contribute to the development of proofs of concept, delivering value to both internal and external customers.
- Collaborate with your team to explore emerging ML research and technologies.
- Learn from industry trends, advances, and tool sets in generative AI and MLOps to expand your knowledge and fuel innovation.
- Assist in the technical assessment of emerging commercial and open-source solutions to ensure their applicability.
- Contribute to our organization's knowledge base by creating documentation and training materials focused on advanced AI techniques.
- Collaborate with team members to establish best practices for generative AI development.
Qualifications
Required Qualifications:
- A Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering or a related field with 9 years of experience. In lieu of a degree, four additional years of professional experience will be considered.
- Experience with Python programming language and popular machine learning libraries and frameworks such as PyTorch, Keras, TensorFlow, or scikit-learn.
- Excellent communication skills to collaborate effectively with cross-functional teams and non-technical stakeholders.
- Ability to learn and adapt quickly in a fast-paced, dynamic environment.
- Familiarity with AI, Cloud, Data or Software technologies and concepts is a large plus, but not mandatory.
- Knowledge of federal government, military experience, contracting processes, and regulations is advantageous.
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