Junior Machine Learning Engineer

Arlington, VA

Actively hiring, first seen by us 9 days ago

Pay: $93,000–210,000/yearAnnual period assumed — pay source
i3 has an exciting opportunity for a machine learning (ML) engineer to support the development of DoD systems. The ML engineer will develop and program neural network (NN)-based software solutions. Additionally, the ML engineer will aid in the analysis of artificial intelligence (AI)-enabled systems. This position is in Arlington, VA. Pay Range $93,000 - $210,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws.
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Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

New graduates: Entry level0–2 years of relevant experience, including internships, academic research, or project work
Work authorization: Citizens onlyAbility to obtain a SECRET security clearance

What you’ll work on

Full posting

Prototype and implement ML systems under senior engineers and ML architects
Research and evaluate neural network architectures for specific problems
Develop, test, and debug Python and C++ software for an NN-based suite
Curate datasets, build training and evaluation pipelines, and optimize models
Run reproducible experiments and write technical documentation of results

From the employer’s posting

Prototype and implement software-based machine learning systems under the guidance of senior engineers and ML architects.

Research and evaluate neural network (NN) architectures for specific problems and application requirements.

Develop, test, and debug Python and C++ software for an NN-based software suite.

Curate and generate datasets, develop training and evaluation pipelines, and optimize models for accuracy and performance.

Conduct reproducible experiments and generate technical documentation describing implementations, methodologies, and results.

What you’ll bring

All qualifications

Core experience

Bachelor's degree in EE, CE, CS, math, or a related field
0–2 years of relevant experience, including internships or project work
Python programming, familiarity with C/C++
Working knowledge of an ML framework such as PyTorch
Familiarity with neural network architectures for classification

Qualification wording

Bachelor’s degree in electrical engineering, computer engineering, computer science, mathematics, or a related field.

0–2 years of relevant experience, including internships, academic research, or project work.

Programming experience in Python, familiarity with C/C++, and working knowledge of at least one ML framework, such as PyTorch.

working knowledge of at least one ML framework, such as PyTorch

Familiarity with neural network architectures and their application to classification problems.

Education & alternatives

You should bring: - Bachelor’s degree in electrical engineering, computer engineering, computer science, mathematics, or a related field. - 0–2 years of relevant experience, including internships, academic research, or project work.

Preferred: - Master’s degree in electrical engineering, computer engineering, computer science or mathematics. - Experience with training, evaluating, or fine-tuning neural network models.

About Integration Innovation, Inc. (i3)

We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers.

In the employer’s words · Read in context

Apply at Integration Innovation, Inc. (i3)

Posting record

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Actively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20269 days ago
Recorded sightings: 10
Last seen by us: Nov 11, 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

$93K–$210K against $166K–$240K, the middle half of what similar US postings state.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 9

Similar jobs usually come down between day 8 and day 75.

At Integration Innovation, Inc. (i3), jobs usually come down by about day 80.

From 5,196 similar postings that came down, and 5 of Integration Innovation, Inc. (i3)’s. Coming down is not always a hire.

Integration Innovation, Inc. (i3) is hiring

4 open jobs

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

Hiring is picking up
Its jobs tend to stay up a long time

Hiring record

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.

C
C++
Python
PyTorch

Where the posting names them

- Familiarity with neural network architectures and their application to classification problems. - Programming experience in Python, familiarity with C/C++, and working knowledge of at least one ML framework, such as PyTorch. - Foundational understanding of linear algebra, probability, and optimization, with strong analytical and problem-solving skills.

- Research and evaluate neural network (NN) architectures for specific problems and application requirements. - Develop, test, and debug Python and C++ software for an NN-based software suite. - Curate and generate datasets, develop training and evaluation pipelines, and optimize models for accuracy and performance.

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Your next step

Complete your application on careers-i3-corps.icims.com. The employer’s form will show what is required.

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Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

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 ↗

Overview

i3 has an exciting opportunity for a machine learning (ML) engineer to support the development of DoD systems. The ML engineer will develop and program neural network (NN)-based software solutions. Additionally, the ML engineer will aid in the analysis of artificial intelligence (AI)-enabled systems. This position is in Arlington, VA.

Pay Range $93,000 - $210,000

The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws.

Responsibilities

In this role, you will:

Prototype and implement software-based machine learning systems under the guidance of senior engineers and ML architects.
Research and evaluate neural network (NN) architectures for specific problems and application requirements.
Develop, test, and debug Python and C++ software for an NN-based software suite.
Curate and generate datasets, develop training and evaluation pipelines, and optimize models for accuracy and performance.
Conduct reproducible experiments and generate technical documentation describing implementations, methodologies, and results.

Qualifications

You should bring:

Bachelor’s degree in electrical engineering, computer engineering, computer science, mathematics, or a related field.
0–2 years of relevant experience, including internships, academic research, or project work.
Familiarity with neural network architectures and their application to classification problems.
Programming experience in Python, familiarity with C/C++, and working knowledge of at least one ML framework, such as PyTorch.
Foundational understanding of linear algebra, probability, and optimization, with strong analytical and problem-solving skills.
Strong analytical and problem-solving skills, with the ability to learn new tools and technologies.

Preferred:

Master’s degree in electrical engineering, computer engineering, computer science or mathematics.
Experience with training, evaluating, or fine-tuning neural network models.
Familiarity with profiling ML workloads and identifying performance bottlenecks.
Exposure to GPU computing, CUDA, tensor cores, or other ML acceleration technologies.
Familiarity with hardware description languages such as VHDL or Verilog.
Experience writing technical documentation for software, research, or engineering projects.
Experience with reverse engineering software, hardware designs, or compiled code to understand system behavior and identify underlying functionality.

Clearance Requirements:

Ability to obtain a SECRET security clearance.
U.S. Citizenship required.

About i3

i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers.

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