Rgi

AI/ML Engineer

Springfield, VA

Live, first seen by us 43 days ago

Pay: USD 150,000–210,000/year — pay source
Salary 150,000 – 210,000 USD per year Who we are:
Read the full posting
Work setting: On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting
Employment: Full-time — employment source
Employment type Full time
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization: Citizens onlyMust have a current/active TS/SCI and be willing and able to obtain a CI polygraph

What you’ll work on

Full posting

Build and deploy data/ML applications and APIs as production services
Engineer and manage large-scale data pipelines and platforms
Deploy and operate ML models and inference services across cloud and GPU/CPU environments
Turn mission and customer needs into scalable technical solutions

From the employer’s posting

Build and deploy data/ML applications and APIs that turn analytics and machine-learning capabilities into reliable production services.

Engineer and manage large-scale data pipelines and platforms, including data modeling, ETL/ELT

deploying and operating ML models and inference services across cloud, containerized, and GPU/CPU environments

Translate mission/customer needs into scalable technical solutions

Education & alternatives

- Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph - Bachelors degree in a relevant field. Equivalent years of experience may be substituted in lieu of a degree. - At least 10+ years of experience as in software engineering, with 2+ years AI/ML focus.

About Rgi

We provide truly excellent benefits, including:

In the employer’s words · Read in context

Apply at Rgi

Posting record

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Status in our records: Live
First seen by us: Sep 23, 202643 days ago
Recorded sightings: 28
Last seen by us: Nov 5, 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

In line with similar jobs

$150K–$210K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 43

Similar jobs usually come down between day 6 and day 70.

From 4,444 similar postings that came down. Coming down is not always a hire.

Rgi is hiring

2 open jobs

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

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.

Java
Python
Delta Lake
Elasticsearch
Spark
Django
FastAPI
PySpark

Where the posting names them

Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one.

- Experience developing and deploying analytics, machine learning, or data-intensive applications and services. - Experience building APIs or production services using technologies such as FastAPI, Django, Java, or equivalent frameworks. - Experience with data modeling, ETL/ELT, data quality, transformation logic, and analytical or search-oriented data stores.

- Ability to translate ambiguous mission or customer problems into practical data, analytics, and software solutions. - Experience with distributed data engineering using Apache Spark/PySpark, HDFS,Delta Lake, Elasticsearch, or similar technologies across large-scale datasets. - Experience deploying and operating machine learning models and inference services at scale across GPU/CPU clusters or containerized environments.

- Build and deploy data/ML applications and APIs that turn analytics and machine-learning capabilities into reliable production services. - Engineer and manage large-scale data pipelines and platforms, including data modeling, ETL/ELT, transformation, data quality, and distributed technologies like Spark/PySpark and Elasticsearch. - Translate mission/customer needs into scalable technical solutions, including deploying and operating ML models and inference services across cloud, containerized, and GPU/CPU environments.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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 ↗

Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS.

We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one.

Our culture is defined and anchored by three pillars:

Energy: We bring passion, purpose, and urgency to our work.

Edge: We take initiative, embrace growth, and step outside our comfort zone.

Execution: We get things done smartly, decisively, and with real results.

If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team.

As a AI/ML Engineer you will...

Build and deploy data/ML applications and APIs that turn analytics and machine-learning capabilities into reliable production services.
Engineer and manage large-scale data pipelines and platforms, including data modeling, ETL/ELT, transformation, data quality, and distributed technologies like Spark/PySpark and Elasticsearch.
Translate mission/customer needs into scalable technical solutions, including deploying and operating ML models and inference services across cloud, containerized, and GPU/CPU environments.
Collaborate with mission, engineering, and data teams to design practical solutions that connect customer needs, data, analytics, software, and machine learning.

AI/ML Engineer Qualifications:

Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph
Bachelors degree in a relevant field. Equivalent years of experience may be substituted in lieu of a degree.
At least 10+ years of experience as in software engineering, with 2+ years AI/ML focus.
Experience developing and deploying analytics, machine learning, or data-intensive applications and services.
Experience building APIs or production services using technologies such as FastAPI, Django, Java, or equivalent frameworks.
Experience with data modeling, ETL/ELT, data quality, transformation logic, and analytical or search-oriented data stores.
Ability to translate ambiguous mission or customer problems into practical data, analytics, and software solutions.
Experience with distributed data engineering using Apache Spark/PySpark, HDFS,Delta Lake, Elasticsearch, or similar technologies across large-scale datasets.
Experience deploying and operating machine learning models and inference services at scale across GPU/CPU clusters or containerized environments.

Strong data engineering background is a plus.
Previous experience with Apache NiFi.

Salary

150,000 – 210,000 USD per year

Who we are:

Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation’s soldiers and analysts.

We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including:

· 100% paid employee healthcare & dental insurance

· Paid parental leave

· 401k with matching

· Escalating vacation time

· Referral bonuses

· Tuition reimbursement

· Professional development training

· Free beverages and snacks

· Weekly catered lunches and breakfast on Fridays

Grow to be our next leader:

At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee.

Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions.

Employment type

Full time

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