AI/ML ENGINEERING CO-OP (UNDERGRADUATE)

Job Description

Job Description

Employment Type: Co-op / Internship (Full-time during co-op term)

Compensation: Paid co-op position;

compensation details shared during the interview process

Term: Fall 2026 co-op - start late August/early September 2026, approximately 15-16 weeks through mid-December 2026. Flexible/rolling start available for candidates able to begin sooner. Multi-term extension possible based on performance and academic schedule; all dates coordinated with your university's co-op calendar.

ABOUT THE ROLE

--------------

EliteUS is hiring an AI/ML Engineering Co-op to work alongside our engineering team on real, shipping projects - not busy work. You'll contribute to AI-powered features end to end: building and evaluating models, wiring up LLM/GenAI workflows, and turning prototypes into production-ready components. This is a hands-on, mentored role designed to give undergraduate students substantive engineering experience that counts toward their co-op or experiential-learning requirements.

This co-op is designed for undergraduate students and recent Bachelor's graduates in computing and data fields.

WHAT YOU'LL DO

--------------

- Build, fine-tune, and evaluate machine learning models for production use cases

- Develop LLM/GenAI application components (prompt design, retrieval pipelines, API integration)

- Write clean, tested Python and contribute to existing code base

- Help build data pipelines: collection, cleaning, labeling, and feature engineering

- Run experiments, measure results, and document findings clearly

- Collaborate with engineers and product stakeholders in daily standup and reviews

REQUIRED QUALIFICATIONS

-----------------------

- Currently enrolled in, or recently completed, a Bachelor's degree in Computer Science, Data Science, AI/ML, Software Engineering, or a closely related field

- Strong academic record - minimum 3.5 GPA (4.0 scale) or equivalent

- Solid programming fundamentals in Python

- Coursework or project experience in machine learning, statistics, or data structures

- Ability to work on-site at our Edison, NJ location for the full co-op term

- Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship

PREFERRED (NICE TO HAVE)

------------------------

- Personal, academic, or hackathon projects involving ML, data, or LLM tools

- Familiarity with PyTorch, TensorFlow, scikit-learn, or Hugging Face

- Exposure to Git, REST APIs, SQL, or cloud platforms (AWS/GCP/Azure)

- Strong written communication - you can explain what you built and why

WHAT YOU'LL GAIN

----------------

- Direct mentorship from working engineers and structured feedback throughout the term

- Ownership of real deliverables you can show in interviews and your portfolio

- Experience across the full AI/ML lifecycle, from data to deployment

- We work with university co-op coordinators and will complete mid-term and final evaluations, learning agreements, and any documentation your program requires

PATH TO FULL-TIME

-----------------

This co-op is designed as a pipeline to full-time employment. You'll receive a mid-term check-in and a formal end-of-term performance review. Strong performers will be offered a full-time Junior AI Engineer role at the conclusion of the term - timed so enrolled students can accept before graduation. We communicate the hire/no-hire decision clearly within the final weeks of the term so you always know where you stand.

HOW TO APPLY

------------

Submit your resume and a brief note on a project you're proud of. Include your school, expected graduation date, and available co-op term(s). Portfolio, GitHub, or project links are welcome.

---

EliteUS Software Solutions is an Equal Opportunity Employer. We evaluate all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.