AIML Engineering Co-op Spring 2027
$43.9k - $87.9kCaci Inc
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 * * *The Opportunity:
Were 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. Youll 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
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 youll be part of a high-performing group dedicated to our customers 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. Youll 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 nations 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:
$43900 - 87900 USDCACI is anEqualOpportunity 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 otherprotectedcharacteristic.
Required Experience:
IC
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