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Next-Gen AI/ML Systems Engineer - Data Fusion & Sense-Making

Pay
$104,000–166,000/yearAnnual period assumed — pay source
Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
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Work setting
Not stated
Employment
Employment terms need review — employment source
Next-Gen AI/ML Systems Engineer - Data Fusion & Sense-Making Within Peraton's Space and Mission Solutions sector, there is an immediate need for a cleared AI (Artificial Intelligence) Data Fusion & Sense-Making emergent technologist to advance our artificial intelligence and data analytics capabilities across the US Intelligence and Space Community portfolio. This is a full-time, on-site position based in Reston, VA with the ability to support from other Peraton facilities in Chantilly, Reston, and/or Herndon with flexibility to travel to customer sites for classified and non-classified solution activities. As a Next-Gen Technology Engineer (NTE), reporting directly to the Sector CTO, you will be the organization's expert on leveraging artificial intelligence to transform disparate data sources into actionable intelligence. You will bring a broad, strategic view of AI applications, understanding not just what AI can do, but where and how it should be applied to maximize mission impact. Your expertise in AI testing, validation, and responsible AI practices will ensure our solutions are trustworthy and operationally effective.
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization
Citizens onlyThis position requires the candidate to possess a minimum of Secret clearance with the ability to obtain TS/SCI

What you’ll work on

Full posting
  • Design AI-enabled data fusion solutions from multi-source intelligence for government proposals

  • Build AI/ML architectures for data management and sense-making tied to customer missions

  • Establish AI testing and validation frameworks for reliability and explainability

  • Create AI adoption roadmaps covering customer readiness and data maturity

  • Mentor technical staff on AI/ML fundamentals and testing practices

From the employer’s posting
Lead the design of AI-enabled data fusion solutions that integrate multi-source intelligence
Develop AI/ML architectures for data management, optimization, and sense-making
Establish and apply AI testing and validation frameworks
Create AI adoption roadmaps that account for customer readiness, data maturity
Mentor, train, and/or educate technical staff on AI/ML fundamentals, testing practices

What you’ll bring

All qualifications

Core experience

  • Demonstrated expertise in AI/ML techniques for data fusion, integration, or analytics—including experience with multiple data modalities
  • Hands-on experience with AI testing, validation, and evaluation methodologies

Preferred experience

  • Knowledge of responsible AI frameworks, AI ethics, and bias mitigation techniques
  • Familiarity with MLOps practices, model monitoring, and AI system lifecycle management
  • Experience with AI development platforms and frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
  • Experience contributing to proposals with AI/ML technical components
Qualification wording
Demonstrated expertise in AI/ML techniques for data fusion, integration, or analytics—including experience with multiple data modalities
Hands-on experience with AI testing, validation, and evaluation methodologies
Knowledge of responsible AI frameworks, AI ethics, and bias mitigation techniques
Familiarity with MLOps practices, model monitoring, and AI system lifecycle management
Experience with AI development platforms and frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
Experience contributing to proposals with AI/ML technical components
Education & alternatives
Required Qualifications: - A minimum of 5+ years of experience with a BS/BA in Computer Science, Data Science, Mathematics, or related field; or 3+ years with MS/MA in Computer Science, Data Science, Mathematics, or related field; or 1+ PhD with relevant AI/ML research. - This position requires the candidate to possess a minimum of Secret clearance with the ability to obtain TS/SCI. The candidate must maintain the clearance.

Benefits in the posting

Full benefits wording
  • At Peraton, our benefits are designed to help keep you at your best beyond the work you do with us daily. We’re fully committed to the growth of our employees. From fully comprehensive medical plans to tuition reimbursement, tuition assistance, and fertility treatment, we are there to support you all the way.
  • Target Salary Range
  • $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement
  • Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
  • Application Statements
  • The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own. EEO

From the employer’s posting.

Apply at Peraton

Posting record

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Open 5 monthsWe first saw this posting 163 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 3, 2026163 days ago
Recorded sightings
156
Last seen by us
Nov 13, 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

Pay

Lower than most similar jobs

$104K–$166K against $166K–$240K, the middle half of what similar US postings state.

From 1,394 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 163

Up longer than most. Similar jobs usually come down between day 8 and day 76.

Well past Peraton’s usual: its jobs come down by about day 42.

From 5,460 similar postings that came down, and 266 of Peraton’s. Coming down is not always a hire.

Peraton is hiring

110 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Hugging Face
  • PyTorch
  • TensorFlow
Where the posting names them
- Familiarity with MLOps practices, model monitoring, and AI system lifecycle management - Experience with AI development platforms and frameworks (PyTorch, TensorFlow, Hugging Face, etc.) - Relevant certifications or credentials in AI/ML, data science, or analytics

Your next step

Complete your application on careers-peraton.icims.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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

View original posting ↗

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Responsibilities

Next-Gen AI/ML Systems Engineer - Data Fusion & Sense-Making

 

Within Peraton's Space and Mission Solutions sector, there is an immediate need for a cleared AI (Artificial Intelligence) Data Fusion & Sense-Making emergent technologist to advance our artificial intelligence and data analytics capabilities across the US Intelligence and Space Community portfolio. This is a full-time, on-site position based in Reston, VA with the ability to support from other Peraton facilities in Chantilly, Reston, and/or Herndon with flexibility to travel to customer sites for classified and non-classified solution activities.

 

As a Next-Gen Technology Engineer (NTE), reporting directly to the Sector CTO, you will be the organization's expert on leveraging artificial intelligence to transform disparate data sources into actionable intelligence. You will bring a broad, strategic view of AI applications, understanding not just what AI can do, but where and how it should be applied to maximize mission impact. Your expertise in AI testing, validation, and responsible AI practices will ensure our solutions are trustworthy and operationally effective.

 

This role is designed for professionals who combine deep AI/ML (Artificial Intelligence/Machine Learning) technical skills with practical defense sector experience. You understand that AI adoption in government requires more than technical excellence—it demands rigorous testing, explainability, and alignment with customer missions and constraints.

 

What you’ll do: 

  • Lead the design of AI-enabled data fusion solutions that integrate multi-source intelligence (SIGINT, GEOINT, HUMINT, OSINT, etc) into coherent, actionable insights for government proposals
  • Develop AI/ML architectures for data management, optimization, and sense-making that address customer-specific mission requirements
  • Establish and apply AI testing and validation frameworks to ensure solution reliability, explainability, and compliance with responsible AI principles
  • Maintain broad awareness of AI landscape—from foundation models to specialized ML techniques—and translate capabilities into practical mission applications
  • Create AI adoption roadmaps that account for customer readiness, data maturity, and organizational change management requirements
  • Collaborate with business development, capture teams, and program managers to identify AI opportunities and develop differentiated technical solutions
  • Infuse existing programs with AI capabilities where appropriate, working within operational and security constraints to demonstrate value incrementally
  • Mentor, train, and/or educate technical staff on AI/ML fundamentals, testing practices, and application strategies, building organizational AI literacy
  • Articulate AI solutions, their limitations, and mission impact to senior leadership, customers, and governance review boards

Qualifications

Required Qualifications:

  • A minimum of 5+ years of experience with a BS/BA in Computer Science, Data Science, Mathematics, or related field; or 3+ years with MS/MA in Computer Science, Data Science, Mathematics, or related field; or 1+ PhD with relevant AI/ML research.
  • This position requires the candidate to possess a minimum of Secret clearance with the ability to obtain TS/SCI. The candidate must maintain the clearance.
  • Demonstrated expertise in AI/ML techniques for data fusion, integration, or analytics—including experience with multiple data modalities
  • Hands-on experience with AI testing, validation, and evaluation methodologies
  • Broad understanding of AI landscape including supervised/unsupervised learning, deep learning, NLP, computer vision, and foundation models
  • Working knowledge of data management practices, data pipelines, and data quality considerations for AI systems
  • Exposure to defense or intelligence community environments and understanding of unique AI adoption challenges in classified settings
  • Strong written and verbal communication skills with ability to explain AI concepts and limitations to non-technical audiences
  • Pragmatic approach to AI—understanding that not all problems require AI solutions and that customer readiness varies significantly
  • Full-time on-site availability with ability to collaborate across technical, business development, and program teams

 Desired Qualifications:

  • An active/current TS/SCI is highly desired
  • Direct experience supporting NRO, NGA, USSF, DIA, NASA, or NOAA missions and programs
  • Knowledge of responsible AI frameworks, AI ethics, and bias mitigation techniques
  • Familiarity with MLOps practices, model monitoring, and AI system lifecycle management
  • Experience with AI development platforms and frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
  • Relevant certifications or credentials in AI/ML, data science, or analytics
  • Experience contributing to proposals with AI/ML technical components
  • Graduate coursework or research publications in AI/ML, data fusion, or related fields

Benefits: 

At Peraton, our benefits are designed to help keep you at your best beyond the work you do with us daily. We’re fully committed to the growth of our employees. From fully comprehensive medical plans to tuition reimbursement, tuition assistance, and fertility treatment, we are there to support you all the way. 

 

#SPACENEXTGEN

Target Salary Range

$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements

The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Source details

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Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Location & working pattern

Reston, VA

Next-Gen AI/ML Systems Engineer - Data Fusion & Sense-Making Within Peraton's Space and Mission Solutions sector, there is an immediate need for a cleared AI (Artificial Intelligence) Data Fusion & Sense-Making emergent technologist to advance our artificial intelligence and data analytics capabilities across the US Intelligence and Space Community portfolio. This is a full-time, on-site position based in Reston, VA with the ability to support from other Peraton facilities in Chantilly, Reston, and/or Herndon with flexibility to travel to customer sites for classified and non-classified solution activities. As a Next-Gen Technology Engineer (NTE), reporting directly to the Sector CTO, you will be the organization's expert on leveraging artificial intelligence to transform disparate data sources into actionable intelligence. You will bring a broad, strategic view of AI applications, understanding not just what AI can do, but where and how it should be applied to maximize mission impact. Your expertise in AI testing, validation, and responsible AI practices will ensure our solutions are trustworthy and operationally effective.
More source context
- Pragmatic approach to AI—understanding that not all problems require AI solutions and that customer readiness varies significantly - Full-time on-site availability with ability to collaborate across technical, business development, and program teams Desired Qualifications:
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