AI/ML Engineering Intern

Position: Seasonal AI/ML Engineering Intern

Program Duration/Schedule: Our internship cohort will begin early June through early August, 2026. 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 2026 Seasonal Interns will work on-site in the Bluestaq office.

Housing: Dormitory housing options may be available at a reduced cost for our summer 2026 internship participants ages 18+. Move in date TBD.

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).

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!