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

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 ...

The Co-op School

Preschool Support Teacher

Brooklyn, NY · On-site

$34K - $40K/yr

The Co-op School facilitates joyful learning through a unique and rigorous constructivist approach that listens to and honors the individual interests and strengths of each child. The Co-op School ...

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 ...

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

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 JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in New York

Machine Learning Co Op information

See New York salary details

$8

$25

$65

How much do machine learning co op jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for machine learning co op in New York is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $29.76 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What are the most commonly searched types of Machine Learning jobs in New York?

The most popular types of Machine Learning jobs in New York are:

What cities in New York are hiring for Machine Learning Co Op jobs?

Cities in New York with the most Machine Learning Co Op job openings:

Machine Learning Co Op jobs near you
Infographic showing various Machine Learning Co Op job openings in New York as of August 2026, with employment types broken down into 25% Internship, 25% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $53,274 per year, or $25.6 per hour.

Artificial Intelligent LLM Research & Development Co-Op / Intern

Pereless Systems

Red Bank, NJ

$15.50 - $20.50/hr

Internship

Re-posted 12 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.