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CACI
CACI

Leading company in the technology industry

Software Engineer, AI/ML Intern - Summer 2026

직무머신러닝
경력인턴십
위치US CO Denver
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  • Job Title: Software Engineer, AI/ML Intern
  • Summer 2026

Job Category: Intern/Co-op

Time Type: Part time

Minimum Clearance Required to Start: None

Employee Type: Part-Time On-Call

Percentage of Travel Required: Up to 10%

Type of Travel: Local

Anticipated Posting End: 5/15/2026

  • The Opportunity:

We are seeking a Software Engineer:

  • AI/ML Intern to support an applied R&D problem set focused on rapid prototyping and experimentation across modern AI/ML methods. This internship is designed for someone who enjoys solving ambiguous, real-world problems and turning ideas into working prototypes. High-performing interns may have the opportunity to transition into our Mission & Engineering Support (M&ES) AI Expeditionary Team, supporting customer-facing, mission-driven AI delivery.

Responsibilities:

  • Work within a small, cross-functional team to research, prototype, and evaluate AI/ML approaches for a defined R&D problem.
  • Implement experiments using a mix of open-source tools and internal frameworks.
  • Assist with developing prototype applications that may include LLMs/NLP, computer vision, data science workflows, or lightweight backend services.
  • Document assumptions, experiment results, and recommendations in a way that makes the work repeatable and transferable.
  • Help translate technical findings into practical next steps for productization or mission integration.

Qualifications: Required:

  • Currently pursuing a BS/BA (or MS) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Coursework or hands-on experience in AI/ML concepts (e.g., classification, clustering, deep learning basics, evaluation).
  • Working knowledge of Python.
  • Willing to work onsite with possible hybrid schedule
  • Willing and able to obtain a Top Secret or TS-SCI clearance.
  • Familiarity with at least one ML/DL library (e.g., Py Torch, Tensor Flow, scikit-learn).
  • Curiosity, strong problem-solving skills, and the ability to work effectively in a fast-moving environment with evolving requirements.

Desired:

  • Working knowledge of the Software development life cycle (including front and back end)

  • Working knowledge of containerization tools like Docker and orchestration platforms like Kubernetes for deploying and managing AI applications

  • Working knowledge of Java, C++, or C#

  • AWS Experience or certification (Developer, DevOps, Architect, or equivalent)

  • An understanding of Gen AI tools, techniques, and platforms.

  • Experience with deployment/scaling of machine learning models

  • Experience in integrating multiple applications

  • Experience with development in microservice-based architecture

  • Security+ Certification

  • Prior internship/project experience delivering prototypes to stakeholders.

  • Working knowledge with databases such as PostgreSQL, MySQL, MongoDB, and NoSQL databases, and message passing middleware such as Redis and Kafka

  • Working knowledge designing, developing, documenting, testing, and debugging software that contains logical and mathematical solutions to problems.

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$43,900 - 87,900 USD

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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CACI 소개

CACI

CACI

Public

CACI International Inc. is an American multinational professional services and information technology company headquartered in Northern Virginia. CACI provides services to many branches of the US federal government including defense, homeland security, and intelligence.

10,001+

직원 수

Northern Virginia

본사 위치

$5.2B

기업 가치

리뷰

10개 리뷰

3.5

10개 리뷰

워라밸

3.8

보상

2.7

문화

4.0

커리어

3.2

경영진

2.8

65%

지인 추천률

장점

Flexible schedule and remote work options

Good benefits and health coverage

Supportive team culture and friendly coworkers

단점

Below average compensation and salary

Poor management and lack of leadership direction

Limited career advancement opportunities

연봉 정보

23개 데이터

Principal/L7

Senior/L5

Principal/L7 · SENIOR PRINCIPAL ERP CONSULTANT

1개 리포트

$180,665

총 연봉

기본급

$157,100

주식

-

보너스

-

$180,665

$180,665

면접 후기

후기 1개

난이도

1.0

/ 5

소요 기간

14-28주

합격률

100%

경험

긍정 100%

보통 0%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit