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

Wje

Fall Co-op - New York (September-December 2026)

New York, NY · On-site

$16.50 - $22/hr

... machines, telephone/voice mail systems, and other office and field equipment.Requirements may also ... We encourage open communication, continuous learning, innovative thinking, ongoing mentoring, and ...

The Co-op School

Spanish Teacher

Brooklyn, NY · On-site

$55K - $79K/yr

... 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

MS ELA Teacher

Brooklyn, NY

$55K - $79K/yr

... 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 ...

Aptar Group

Co-Op Student / Intern

Congers, NY · On-site

$23 - $25/hr

Co-Op Student / Intern Improving Health through Science and Technology! At Aptar Pharma , we ... Troubleshoot Injection Molding machines, follow process to resolve failures and other problems.

The Co-op School

After School Teacher

Brooklyn, NY

$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 ...

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI's original GPT paper) * Emad ...

REXEL

High School Co-op

Stamford, CT

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 ...

REXEL

High School Co-op

Stamford, CT · On-site

$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 ...

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 ...

LiveRamp

Co-Op, Data Science

New York, NY · On-site

$31 - $49/hr

Get ready for the best learning experience of your life. You will receive the same orientation ... In the course of your internship or Co-op, you will be tasked with one or more mission-critical ...

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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 Jun 14, 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.

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

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.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

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.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
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Fall Machine Learning Co Op jobs near you
Artificial Intelligent LLM Research & Development Co-Op / Intern

Artificial Intelligent LLM Research & Development Co-Op / Intern

Pereless Systems

Red Bank, NJ

$15.50 - $20.50/hr

Internship

Posted 7 days ago

Job description

At Pereless Systems, we are the leading recruiting cloud platform since 2000, we are at the forefront of AI and machine learning innovation, driving solutions that impact the future. Our team is dedicated to creating cutting-edge technologies that enhance human capabilities and streamline processes. We are currently seeking a passionate and skilled AI LLM Co-op/Intern to join our dynamic team. This role is an exciting opportunity to train and tune existing open-source models with resume content and provide summary and prediction for future applicants.

Why Join Us?

Pereless Systems offers a dynamic and supportive work environment where innovation and initiative are celebrated. As part of our team, you'll have the opportunity to work on groundbreaking projects and make substantial contributions to the field of AI. We provide comprehensive mentorship, professional development opportunities, and a network of industry experts to ensure your co-op/internship experience is exceptionally rewarding.

As an AI LLM Co-op/Intern, you will work closely with our AI research and development team to contribute to the enhancement of our AI systems. Your primary focus will be on the training and tuning of existing open-source language model frameworks, specifically targeting the optimization of resume content processing. You will also assist in developing models that can provide insightful summaries and predictions regarding future job applicants, aiding in our recruitment processes.

Key Responsibilities:

  • Collaborate with AI experts to understand and contribute to the development pipeline of language models.
  • Train and fine-tune open-source AI models using large datasets, particularly resume content.
  • Evaluate model performance and apply iterative improvements.
  • Develop and implement algorithms capable of generating summaries and predictive analyses of job applicants.
  • Document and report findings, insights, and methodologies throughout the development process.
  • Stay updated with the latest trends and advancements in AI and machine learning.

  • Legally authorized to work permanently in the U.S. and not require sponsorship for employment visa status now or in the future (e.g. H1-B status)
  • Actively enrolled in an accredited university through the duration of co-op assignment pursuing a Bachelor's, Master's or PhD degree
  • Ability to commit to 6-month duration - 40 hours per week (Monday - Friday) for the length of the assignment (June 17, 2024 - December 13, 2024)
  • Minimum cumulative 3.0 GPA
  • Currently enrolled in or recently graduated from a degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong foundation in AI principles, machine learning, and natural language processing (NLP).
  • Experience with Python programming and libraries such as TensorFlow, PyTorch, or similar.
  • Familiarity with open-source language models and frameworks.
  • Ability to handle large datasets and perform data cleaning and preprocessing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Prior experience or projects involving natural language processing or machine learning.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Contributions to open-source projects or publications in relevant fields.