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Fall Machine Learning Co Op Jobs in New York (NOW HIRING)

ELITEUS SOFTWARE SOLUTIONS LLC

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AI/ML ENGINEERING CO-OP (UNDERGRADUATE)

Edison, NJ · On-site

$34K - $36K/yr

Fall 2026 co-op - start late August/early September 2026, approximately 15-16 weeks through mid ... WHAT YOU'LL DO ----- - Build, fine-tune, and evaluate machine learning models for production use ...

ELITEUS SOFTWARE SOLUTIONS LLC

Be Seen First

AI/ML ENGINEERING CO-OP (UNDERGRADUATE)

Edison, NJ · On-site

$34K - $36K/yr

Fall 2026 co-op - start late August/early September 2026, approximately 15-16 weeks through mid ... WHAT YOU'LL DO ----- - Build, fine-tune, and evaluate machine learning models for production use ...

Kenvue

Supply Chain Co-op (Drexel)

Summit, NJ · On-site

$20 - $45/hr

Supply Chain Co-op (Drexel) What we do At Kenvue, we realize the extraordinary power of everyday ... Engage in continuous learning and professional development opportunities * Present project work and ...

The Co-op School

After School Teacher

Brooklyn, NY · On-site

$22.50/hr

Whether painting walls, assembling furniture, growing the school through various initiatives, and much more, we all help The Co-op School flourish. Meanwhile, faculty collaborate to create learning ...

Maesa

Customer Strategy Co-op

New York, NY · On-site

$20/hr

This co-op position requires a full-time commitment of 40 hours per week during the Fall 2026 semester (approximately July through December) and will require to be onsite at our NYC office a minimum ...

Maesa

Customer Strategy Co-op

New York, NY

$20/hr

This co-op position requires a full-time commitment of 40 hours per week during the Fall 2026 semester (approximately July through December) and will require to be onsite at our NYC office a minimum ...

REXEL

High School Co-op

Stamford, CT

$16.50/hr

Summary: The High School Co-op position is an opportunity for a High School Senior to learn and ... Operates a computer and other office machinery - Constantly - at least 51% * Talk, hear, taste ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in New York

Fall Machine Learning Co Op information

See New York salary details

$27.9K

$46.6K

$96.3K

How much do fall machine learning co op jobs pay per year?

As of Jul 26, 2026, the average yearly pay for fall machine learning co op in New York is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in New York? For Fall Machine Learning Co Op jobs in New York, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in New York look for? The top searched job categories for Fall Machine Learning Co Op jobs in New York are:
What cities in New York are hiring for Fall Machine Learning Co Op jobs? Cities in New York with the most Fall Machine Learning Co Op job openings:
Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in New York as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

AI/ML ENGINEERING CO-OP (UNDERGRADUATE)

ELITEUS SOFTWARE SOLUTIONS LLC

Edison, NJ • On-site

$34K - $36K/yr

Other

Posted 10 days ago

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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

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- 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.

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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.