Artificial Intelligence Machine Learning Intern...
@ Lensa

Denver, CO
$65,000
On Site
Intern
Posted 16 hours ago

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Job Details

Introduction

The Artificial Intelligence Machine Learning Intern Summer 2026 role is offered by CACI through Lensa's platform. The intern will join a team of Data Scientists and Researchers in an R&D lab in the Denver, CO area, working on innovative AI/ML projects.

Opportunity and Responsibilities

You will work within a cross-disciplinary team focused on research and development of Machine Learning, Deep Learning, and Reinforcement Learning analytics. Key responsibilities include:

  • Collaborating on design analysis and problem solving.
  • Implementing experiments using open source and custom tools.
  • Analyzing data and supporting coding, testing, and debugging tasks.
  • Participating in team meetings and sharing innovative ideas.

Qualifications

Required qualifications include enrollment in an undergraduate or graduate program in Computer Science, Data Science, Mathematics, or Statistics, with basic programming knowledge (Python preferred). An interest in AI and strong problem-solving skills are essential. Must be legally authorized to work in the US without sponsorship.

Desired Skills

Experience with coding in Python and React, familiarity with AI concepts through academic projects or courses, and strong communication skills are desirable.

What You Can Expect

At CACI, you will experience a culture of integrity and trust. The environment provides flexibility, comprehensive benefits, and robust learning resources to support your continuous growth and career development.

Key skills/competency

  • Data Science
  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Python
  • Problem Solving
  • Team Collaboration
  • Research
  • Debugging
  • Communication

How to Get Hired at Lensa

🎯 Tips for Getting Hired

  • Customize Resume: Tailor skills for AI and programming.
  • Highlight Projects: Showcase academic AI or ML work.
  • Research CACI: Understand their R&D and mission.
  • Prepare Interview: Practice problem-solving and coding tests.

📝 Interview Preparation Advice

Technical Preparation

Review Python basics and data structures.
Practice machine learning algorithm implementations.
Study deep learning frameworks and libraries.
Familiarize with experimental coding environments.

Behavioral Questions

Describe a challenge solved collaboratively.
Explain time management in team projects.
Discuss learning from a coding mistake.
Share experience in research or academic projects.

Frequently Asked Questions