Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
Annapolis Junction, MD
Open 5 months, first seen by us 163 days agoTS/SCI clearance with polygraph required
Develop and optimize machine learning models for real-world and national security uses
Build and maintain scalable data pipelines for model training and deployment
Collaborate with product, engineering and data teams to turn requirements into solutions
Evaluate model performance, troubleshoot issues and fine-tune solutions
Write clean, maintainable, well-documented code
Develop and optimize machine learning models for real-world and national security and defense applications
Build and maintain scalable data pipelines for model training and deployment.
Collaborate with product, engineering, and data teams to understand requirements and translate them into actionable solutions.
Evaluate model performance, troubleshoot issues, and fine-tune solutions for optimal results.
Write clean, maintainable, and well-documented code.
TS/SCI clearance with polygraph required
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
Strong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience building and deploying machine learning models into production environments.
Knowledge of cloud platforms such as AWS or Azure for AI/ML workflows.
Requirements - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. - Strong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
From the employer’s posting.
Pointer Technologies is Mission Forward and Employee Owned.
In the employer’s words · Read in context
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
Day 163
Up longer than most. Similar jobs usually come down between day 8 and day 76.
From 5,460 similar postings that came down. Coming down is not always a hire.
4 open jobs
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- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. - Strong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Solid understanding of algorithms, data structures, and statistical methods.
- Experience building and deploying machine learning models into production environments. - Knowledge of cloud platforms such as AWS or Azure for AI/ML workflows. - Familiarity with data wrangling, ETL pipelines, and big data tools (e.g., Spark, Hadoop).
- Knowledge of cloud platforms such as AWS or Azure for AI/ML workflows. - Familiarity with data wrangling, ETL pipelines, and big data tools (e.g., Spark, Hadoop). Nice To Have
- Experience with specific AI domains, such as natural language processing (NLP), computer vision, or reinforcement learning. - Understanding of MLOps principles and tools like MLflow or Kubeflow. - Contributions to open-source AI/ML projects.
Complete your application on pointertechnologies.applytojob.com. The employer’s form will show what is required.
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New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
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.
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.
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.
Pointer Technologies is seeking a talented and passionate Software Engineer specializing in Artificial Intelligence and Machine Learning (AI/ML) to join our team. You will collaborate with cross-functional teams to solve challenging problems, develop robust software systems, and deploy AI-powered features into production.
The ideal candidate will have a broad technical background, and the ability to design, build, and deploy scalable AI/ML models that align with our mission. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication.
TS/SCI clearance with polygraph required
Pointer Technologies is Mission Forward and Employee Owned.
We leverage talented engineers and effective technologies to drive success in our nation’s National Security and Intelligence missions. We enable our nation to be capable, modernized, and anticipatory for the fight ahead - seen or unseen.
Here are some of our core values:
At Pointer Technologies, all employees are eligible to be granted stock, making them a shareholder in the business. We want our employees to be as invested in our success as we are in theirs, and we believe that generously giving our employees a piece of the pie will encourage this. At Pointer, our employees are not only the foundation of our success - they get to share in our success.
Since every employee at Pointer Technologies is a shareholder, we have an open book policy with our team. We hold quarterly all hands meetings where the business reports its contracts portfolio, growth strategy, and even financial health and projections with all employees.
At Pointer Technologies we don't just hire anybody - top tier talent is part of our brand. New candidates will face technical screenings to verify that they uphold our technical standards. Anybody who is offered a position at Pointer can know that they have earned the right to be a part of our team.
At Pointer Technologies we support work that is impactful to our nation’s National Security and Intelligence missions. Every single member of the Pointer Technologies team takes pride in knowing that the work that they do matters, and that it is making a positive and meaningful impact on our success as a nation.
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Pointer Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other state or federal legally protected status.
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Annapolis Junction, MD
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