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Fall Machine Learning Co Op Jobs in Bellerose, NY

The Co-op School

Preschool Support Teacher

Brooklyn, NY · On-site

$34K - $40K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

... in the fall of 2009. In 2011, The Co-op School launched the first kindergarten class of its ... The Co-op School facilitates joyful learning through a unique and rigorous constructivist approach ...

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 ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

... co-designed with machine learning software) for inference or training solutions. • Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine 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 ...

Capital Rx

Senior Machine Learning Engineer

Manhattan, NY · On-site

$161K - $202K/yr

Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer.

Good Inside

Machine Learning Engineer

New York, NY · On-site

$205K - $235K/yr

  • Retirement

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Bellerose, NY

Fall Machine Learning Co Op information

See Bellerose, NY salary details

$27K

$45.2K

$93.3K

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

As of Aug 16, 2026, the average yearly pay for fall machine learning co op in Bellerose, NY is $45,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

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 cities near Bellerose, NY are hiring for Fall Machine Learning Co Op jobs?

Cities near Bellerose, NY 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 Bellerose, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,155 per year, or $21.7 per hour.

Co-Op 2026 - Software Engineering - XiO Cloud (AI Engineering)

crestron

Rockleigh, NJ

Full-time

Re-posted 9 days ago

Job description

OVERVIEW

Crestron Electronics is dedicated to attracting exceptional emerging professionals by investing in resources and creating opportunities for hands-on learning, professional growth, and career development in a supportive work environment. As a result, we have an exciting opportunity for a Summer-Fall Software Engineering Co-op to join our XiO Cloud Engineering Team in Rockleigh, NJ or Boston, MA. This role has been designated for a 100% onsite work arrangement. Candidates must be commutable to Rockleigh, NJ or Boston. MA.

At Crestron Electronics, Diversity, Equity, and Inclusion drive innovation. Crestron's success hinges on continuing to build a workforce of unique individuals whose passion inspires us to create and revolutionize industry-leading products and services. There will always be more to accomplish, and at Crestron, we believe the best way forward is together.

Crestron Interns and Co-Ops can expect to be challenged with meaningful projects and tasks alongside professionals and subject matter experts in the field. Interns and Co-Ops are assigned a dedicated mentor who will be responsible for their development and acclimation to the company. Crestron will also provide a variety of training and networking opportunities to participants in the program, seeking to present participants with a comprehensive experience that enhances technical and non-technical skill sets and prepares students for their professional careers. Crestron is an equal opportunity employer proud of its commitment to Diversity & Inclusion.

For the XiO Cloud Software Engineering Co-op position, we are seeking a motivated student who is passionate about technology and eager to learn from experienced software engineers. XiO Cloud is Crestron's enterprise-grade, cloud-based web application that enables IT administrators and AV professionals to remotely monitor, manage, and configure IoT edge devices deployed across commercial environments worldwide.

This AI Engineering Co-op provides the opportunity to contribute to AI-powered capabilities within the XiO Cloud platform while gaining hands-on experience with Python development, intelligent automation, large language models, and emerging agentic technologies. The ideal candidate is self-motivated, creative, curious, and enjoys working in a collaborative engineering environment.

Through this Co-op experience, students will gain exposure to software development best practices, AI application development, prompt evaluation and testing techniques, cloud application architecture, and collaboration with cross-functional engineering teams.

 

RESPONSIBILITIES

With guidance from a dedicated mentor, perform the following tasks with increasing responsibility and independence throughout the Co-op experience:

  • Contribute to well-defined projects supporting AI-powered capabilities within the XiO Cloud platform.
  • Assist in developing and evaluating AI-powered workflows and intelligent application features using Python.
  • Support the development and testing of LLM-based agent workflows and automation solutions.
  • Assist with integration of AI services and APIs into enterprise software applications.
  • Participate in software testing, debugging, prompt evaluation, and quality assurance activities.
  • Assist in developing and executing tests to support reliability and performance of AI-enabled features.
  • Participate in code reviews, Agile ceremonies, team discussions, and technical design conversations.
  • Document technical findings, implementation details, evaluation results, and test outcomes to support team knowledge sharing.

 

QUALIFICATIONS

General Requirements

  • Must be enrolled in an accredited college or university pursuing a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related field.
  • Must have unrestricted work authorization in the United States now and in the future.

 

Technical Skills

  • Strong programming fundamentals and problem-solving abilities.
  • Understanding of software development fundamentals, data structures, and algorithms.
  • Familiarity with version control using Git.
  • Coursework, project experience, or familiarity with Python.
  • Exposure to artificial intelligence, machine learning, generative AI, or natural language processing concepts through coursework, research, or personal projects.
  • Basic understanding of APIs and software integration concepts.
  • Interest in large language models (LLMs), prompt engineering, intelligent automation, or agent-based systems.
  • Exposure to LangChain, LangGraph, vector databases, or similar AI frameworks is a plus but not required.

 

Other Skills

  • Strong analytical and critical-thinking skills.
  • Responsible, self-motivated, and eager to learn.
  • Curiosity and enthusiasm for emerging AI technologies.
  • Effective communication and collaboration skills.
  • Ability to manage assigned tasks and meet deadlines.

Positive attitude and willingness to learn new technologies and development practices.

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