2025 AI/ML Engineering Intern - Seasonal

2025 Bluestaq Seasonal AI / ML Engineering Internship Cohort

Position : Seasonal AI / ML Engineering Intern

Program Duration / Schedule : Our internship cohort will begin early June through early August 2025. Weekly schedule to work 32 hours, max 36 hours.

Position Type : Temporary, Seasonal, Non-Exempt, Hourly

Salary Range : In compliance with Colorado's Equal Pay for Equal Work Act, the hourly rate for this role is $30.00 to $42.

00. The candidate's relevant work experience, skills, certifications, and geographic location will determine the final compensation for this role.

Location : Downtown Colorado Springs, Colorado. This is not a remote position; our 2025 Seasonal Interns will work on-site in the Bluestaq office.

Housing : Dormitory housing options may be available at a reduced cost for our summer 2025 internship participants ages 18+. Move in date TBD.

Relocation : This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.

Additional Compensation : There is no additional compensation for this position.

Employment Benefits : This position is not eligible for employment benefits such as 401k, Medical, Dental, or Vision Insurance etc.

This position is eligible for sick pay as per the Colorado Healthy Families & Workplaces Act (HFWA).

About Bluestaq :

Where Tech Meets Tenacity

Ready to trade that "job" for a mission? Welcome to Bluestaq.

Grit isn't just a buzzword here; it's in our DNA. We're not just another tech company; we're a collective of innovators, risk-takers, dreamers, and trailblazers.

Founded in 2018, Bluestaq has quickly established itself as a game-changer in enterprise software and secure data management.

Our name? A fusion of "blue" (military lingo for the good guys) and "staq" (as in software stack).

The Buzz Around Us

In just six years, we've amassed accolades as if collecting rare vinyl. For three consecutive years, Bluestaq has been recognized as one of Inc.

5000's fastest-growing private companies and maintains a consistent presence on several of National and Colorado's Best Workplaces lists.

We're not just making waves; we're practically a tsunami in the Colorado tech scene.

Why Colorado Springs? Why Not?

Nestled at the foot of the Rockies, downtown Colorado Springs isn't just our headquarters; it's a lifestyle. Ranked #2 on U.

S. News & World Report's Best Places to Live, this city is a burgeoning tech hub, vibrant and alive. Plus, 300 days of sunshine? Yes, please.

Join the Mission

If you're aiming to do the most impactful work of your career with a top-tier tech team, consider this your invitation to join Bluestaq.

We're eager to get acquainted!

Position Overview : Bluestaq is offering a unique opportunity for a highly motivated student to join our team as an AI / ML Software Engineering Intern.

This internship is designed to provide hands-on experience in developing data solutions that significantly contribute to our nation's defense and security.

As an intern, you will work alongside experienced engineers and contribute to cutting-edge data fabric solutions, making a tangible difference in our support of the US military and intelligence community.

Internship Responsibilities :

• Assist in developing large-scale Artificial Intelligence data architectures across SQL and NoSQL databases.
• Support database design, data modeling, and performance tuning for relational databases.
• Aid in designing and managing graph data stores for complex data relationships, optimizing AI and ML applications.
• Learn and implement data security best practices and support complex projects under the guidance of technical leadership.
• Collaborate with development teams to optimize application performance and tackle big data challenges.
• Participate in Machine Learning code reviews and provide feedback to improve code quality and readability.
• Contribute to Design Review Panels and Tech Talk series to promote continuous learning within the team.
• Write unit / integration / service tests and use continuous integration tools such as Jenkins and SonarQube.
• Proactively monitor and enhance data pipeline performance, staying updated with industry trends.

Internship Qualifications :

• Currently enrolled in a Master's or Doctorate degree program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Basic understanding of supervised, semi-supervised, and unsupervised Machine Learning approaches and their applications.
• Familiarity with graph-native machine learning pipelines for feature engineering and evaluation.
• Exposure to developing formal ontologies and their application to graph data modeling.
• Proficiency in one or more programming languages such as Java, Python, JavaScript, etc.
• Basic knowledge of graph database tools, technologies, and methods, including property graph models and Cypher Query Language.
• Familiarity with build systems (e.g., Maven), CI / CD tools (e.g., Jenkins, SonarQube), and configuration management software (e.

g., Apache Zookeeper).

• Experience with SQL database design, relational data modeling, and REST API development is a plus.
• Exposure to cloud environments (AWS, GCP, Azure) and data-intensive system tools (e.g., Kafka, Apache Spark, Hadoop) is a plus.

Preferred Skills :

• Passionate about AI / ML and data science advancements.
• Strong communication skills and the ability to articulate complex concepts.
• Resilient and adaptable in a dynamic work environment.
• High level of curiosity and a strong sense of project ownership.

Internship Benefits :

• Hands-on experience with cutting-edge AI / ML technologies and methodologies.
• Mentorship from experienced professionals in the field.
• Opportunity to contribute to projects with significant impact on national defense and security.
• Access to a wide range of learning resources and professional development opportunities.

Clearance Requirement : This position requires the ability to obtain a TS / SCI Clearance. To be eligible for a clearance, US Citizenship is required, and an employee must agree to participate in a background screen and credit check.

Relocation : This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.

What's Next : If you're ready to kick-start your career and learn in an exciting, hands-on environment, apply for the Bluestaq AI / ML Engineering Internship today!

Apply Now to join a team where your ideas and talents matter!

Bluestaq is an Equal Opportunity Employer. We prohibit unlawful discrimination against applicants or employees on the basis age 40 and over, color, disability, gender identity, genetic information, military or veteran status, national origin, race, religion, sex, sexual orientation, or any other status protected by state or local law.

Bluestaq will make reasonable accommodations for qualified individuals with known disabilities and employees whose work requirements interfere with a religious belief unless doing so would result in an undue hardship to Bluestaq or a direct threat.

Employees needing such accommodation are instructed to contact Human Resources immediately at .