Pay
In line with similar jobs
$130K–$270K against $166K–$240K, the middle half of what similar US postings state.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Artificial Intelligence Machine Learning Engineer 1 - C++/Marian/Java/AWS/PyTorch/Python
Annapolis Junction, MD
Actively hiring, first seen by us 1 day ago- Pay
$130,000–270,000/year — pay source
Benefits Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- US citizens only
Must currently hold a Top Secret/SCI US Government security clearance with a favorable Polygraph, therefore all candidates must be a US citizen
What you’ll work on
Full postingBuild, train, and fine-tune advanced language models
Evaluate language models across the model development lifecycle
Collaborate with cross-functional teams to deliver solutions
From the employer’s posting
responsible for building, training, fine-tuning, and evaluating advanced language models
work across the model development lifecycle
collaborate with cross-functional teams to deliver high-impact solutions
What you’ll bring
All qualificationsCore experience
- Top Secret/SCI clearance with favorable Polygraph; U.S. citizen
- 2+ years applied machine learning experience
- B.S. in computer science, advanced math, or related STEM field (or 3 extra ML years in place of it)
- Proficiency in TensorFlow, PyTorch, or Hugging Face
- Hands-on AWS experience (SageMaker, Lambda, EC2, S3)
Preferred experience
- Experience with secure data handling and compliance requirements
- Experience working with Large Language Models (LLMs)
Qualification wording
Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph
2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required
A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required
Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
Experience with secure data handling and compliance requirements
Experience working with Large Language Models (LLMs)
Education & alternatives
- A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required - 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree. Required Skills:
Benefits in the posting
Full benefits wording- Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
- Above Market Hourly Rates
- $3,600 HSA Contribution
- 6 Weeks Paid Time Off
- Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 6, 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 1
Early. Similar jobs usually come down between day 6 and day 71.
From 4,619 similar postings that came down. Coming down is not always a hire.
Captivation Software is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- 25% 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.
- Java
- JavaScript
- Python
- AWS
- Kubernetes
- MLflow
- S3
- SageMaker
- Hugging Face
- PyTorch
- TensorFlow
Where the posting names them
- Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3. - Experience in developing full-stack software applications (JavaScript, Python, Java, etc.). - Solid understanding of data structures, algorithms, and system design.
- Expertise in model training, evaluation, and deployment. - Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3. - Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
- Experience with model versioning and management using tools such as MLFlow or Git. - Familiarity with containerization tools (i.e. Kubernetes). Desired Skills:
- Experience & Background: o Extensive experience in machine learning model development, including natural language processing (NLP). o Experience with model evaluation, optimization, and performance monitoring. o Proven experience in software engineering with strong coding skills. o Experience working in a government or defense-related environment is highly preferred. - Experience with model versioning and management using tools such as MLFlow or Git. - Familiarity with containerization tools (i.e. Kubernetes).
Required Skills: - Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. - Expertise in model training, evaluation, and deployment.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
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.
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
Build to something to be proud of.
Description
Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.
Captivation Software is looking for a mid level AI/ML engineer who will be responsible for building, training, fine-tuning, and evaluating advanced language models. The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development. This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions.
Requirements
Security Clearance:
- Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen
Minimum Qualifications:
- 2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required
- A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required
- 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.
Required Skills:
- Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Expertise in model training, evaluation, and deployment.
- Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
- Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
- Solid understanding of data structures, algorithms, and system design.
- Experience & Background:
o Extensive experience in machine learning model development, including natural language processing (NLP).
o Experience with model evaluation, optimization, and performance monitoring.
o Proven experience in software engineering with strong coding skills.
o Experience working in a government or defense-related environment is highly preferred. - Experience with model versioning and management using tools such as MLFlow or Git.
- Familiarity with containerization tools (i.e. Kubernetes).
Desired Skills:
- Experience with secure data handling and compliance requirements
- Experience working with Large Language Models (LLMs)
This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.
Benefits
- Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
- Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
- Above Market Hourly Rates
- $3,600 HSA Contribution
- 6 Weeks Paid Time Off
- Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Benefits Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
- Location & working pattern
Annapolis Junction, MD
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Requirements Security Clearance: - Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen Minimum Qualifications: