AI/ML Engineering Co-op - Spring 2027

Location: King of Prussia, PA, US

Job Title: AI/ML Engineering Co-op - Spring 2027

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: None

Type of Travel: None

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The Opportunity

We're excited to offer this AI/ML Engineering Co-op opportunity to students currently enrolled at Drexel University! Based in King of Prussia, PA, this role provides the chance to work alongside a talented team of software developers who are passionate about mentoring the next generation of engineers. You'll gain hands-on experience applying AI and machine learning concepts to real-world challenges while collaborating with technical experts and leaders across the organization.

Responsibilities

Working with a diverse team to research and develop AI/ML models

Working on an AI/ML program that will be

Exploring advanced Retrieval Augmentation Generation (RAG) techniques

Exploring various text embedding models and techniques

Fine tuning embedding models

Building a Model Context Protocol (MCP) server

Exploring synthetic data generation techniques

Regular meetings with mentor(s)

Qualifications

Required

Currently enrolled in a degree program at Drexel University

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Ability to successfully complete a pre-employment drug screening

Proficiency with any one of the following languages: Java, Python, C++, etc.

Familiar with at least one unsupervised, and one supervised machine learning technique

Proficiency in data science and data analysis

Great communication skills

Desired

Experience training and developing machine learning models

Experience with Large Language Models (LLM), vector databases (e.g. ChromaDB, Weaviate)

Experience using Agentic coding assistants

Experience with Pytorch, Tensorflow, and/or Keras Experience with Cloud infrastructures – AWS or C2S preferred

Experience working within an Agile framework for feature development

Experience with Containerization – Docker preferred

Experience developing performant algorithms in various domains

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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.