Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
AI/Machine Learning Engineer Principal
Chantilly, VA, United States
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
- Not stated
Before you apply
- Work authorization
- Citizens only
Active TS/SCI clearance with Poly
What you’ll work on
Full postingHelp write acquisition packages such as statements of work, RFIs, RFPs and briefings
Provide acquisition advisory support during technical and cost evaluations for source selection
Evaluate advanced AI/ML concepts and architectures for space and ground systems
Support Agile SAFe planning, including PI Planning and epic and feature development
Run analyses of alternatives and technical, cost and schedule tradeoffs
From the employer’s posting
Work with government technical and contracts staff developing program acquisition packages including but not limited to statement of work
Provide acquisition advisory services during technical and cost evaluations of RFIs and/or proposals in support of source selection
Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems
Support Agile SAFe program development processes and activities such as Program Increment (PI) Planning, development of epics, features, and demo coordination
Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations
What you’ll bring
All qualificationsCore experience
- Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)
- Proficient skills using Jira and Confluence tools
Preferred experience
- Knowledge, skills, abilities, and/or experience in one of more of the following:- Systems engineering and integration applied to spacecraft, ground, and launch systems
- Experience working as a SETA
Qualification wording
Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)
Proficient skills using Jira and Confluence tools
Knowledge, skills, abilities, and/or experience in one of more of the following:- Systems engineering and integration applied to spacecraft, ground, and launch systems
Experience working as a SETA
Education & alternatives
- Assist in Interoffice and Interagency coordination and collaboration - Must have bachelor’s degree in science, technology, engineering, or math discipline with minimum of nine (9) years of relevant work experience or seven (7) years with master’s degree - Demonstrated acquisition support experience of 5 or more years
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20266 days ago
- Recorded sightings
- 10
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Aug 25, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 6
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Science Applications Intl is hiring
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Excel
Where the posting names them
- AI/ML experience - Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint) - Proficient skills using Jira and Confluence tools
Your next step
Complete your application on eihu.fa.us8.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services to the U.S. Government (USG). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support USG Intelligence Community (IC) and Department of Defense (DoD) customers.
The AI/ML systems engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms. This position provides Systems Engineering & Technical Advisory (SETA) support services.
Job Description:
- Work with government technical and contracts staff developing program acquisition packages including but not limited to statement of work, Justification & Approval, development of Request for Contract Action Package (RCAP) artifacts, Request For Information (RFI), Request For Proposal (RFP), and executive briefing materials
- Provide acquisition advisory services during technical and cost evaluations of RFIs and/or proposals in support of source selection
- Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems
- Support Agile SAFe program development processes and activities such as Program Increment (PI) Planning, development of epics, features, and demo coordination
- Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs
- Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment
- Support systems engineering activities such as risk management, schedule management, and technical performance management
- Briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations
- Assessment of white papers and vendor marketing materials
Required Qualifications:
- Active TS/SCI clearance with Poly
- Assist in Interoffice and Interagency coordination and collaboration
- Must have bachelor’s degree in science, technology, engineering, or math discipline with minimum of nine (9) years of relevant work experience or seven (7) years with master’s degree
- Demonstrated acquisition support experience of 5 or more years
- AI/ML experience
- Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)
- Proficient skills using Jira and Confluence tools
- Critical thinking, problem-solving, and analytical skills
- Interpersonal and communication skills for written reports, group discussion, and oral presentations
Desired Qualifications:
- Knowledge, skills, abilities, and/or experience in one of more of the following:
- Systems engineering and integration applied to spacecraft, ground, and launch systems
- R&D of artificial intelligence/machine learning agents
- System acquisition, design, development, integration, test, and/or flight operations
- Artificial Intelligence and/or Machine Learning technologies applied to space systems
- IC mission, organizations, disciplines, systems, and/or processes
- Experience working as a SETA
- General understanding of satellite architecture (payloads and bus sub-systems)
- General understanding of satellite operations (planning & scheduling, mission management, and command and control
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chantilly, VA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.