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Deep Learning Intern Jobs in Ohio (NOW HIRING)

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Key Responsibilities * Assist in building and training machine learning and deep learning models

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Key Responsibilities * Assist in building and training machine learning and deep learning models

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Key Responsibilities * Assist in building and training machine learning and deep learning models

IT Development Intern

Perrysburg, OH · On-site

$14.25 - $18.75/hr

This role is designed as a learning opportunity, providing hands-on experience in real-world ... deep understanding of their unique needs. Core Values Our core values--Safety, Quality, and ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Co-Op Intern

Cleveland, OH · On-site

$13.50 - $18/hr

Overview Keller is the world leader in geotechnical construction and deep foundations. With a North ... Keller is looking for a Co-Op Intern who can start work in the Fall 2006 or Spring 2027 based out ...

Co-Op Intern

Wadsworth, OH · On-site

$13.50 - $18/hr

Company Logo Overview Keller is the world leader in geotechnical construction and deep foundations ... Keller is looking for a Co-Op Intern who can start work in the Fall 2006 or Spring 2027 based out ...

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How much do deep learning intern jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for deep learning intern in Ohio is $16.20, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $18.27 per hour, depending on experience, location, and employer.

What types of projects can a Deep Learning Intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What are the key skills and qualifications needed to thrive as a Deep Learning Intern, and why are they important?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What does a Deep Learning Intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.
What are the most commonly searched types of Deep Learning jobs in Ohio? The most popular types of Deep Learning jobs in Ohio are:
What cities in Ohio are hiring for Deep Learning Intern jobs? Cities in Ohio with the most Deep Learning Intern job openings:

$28 - $45/hr

Other

Posted 23 days ago


Job description

Machine Learning Engineer Intern

United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour 
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome


Position Overview

We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.


Key Responsibilities
  • Assist in building and training machine learning and deep learning models

  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)

  • Implement supervised and unsupervised learning algorithms

  • Optimize model performance using hyperparameter tuning

  • Deploy ML models using REST APIs or cloud services

  • Work on model monitoring, validation, and performance tracking

  • Collaborate with cross-functional teams in Agile/Scrum environment

  • Document experiments and maintain reproducible ML workflows


Required Qualifications
  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

  • Strong understanding of Machine Learning fundamentals

  • Knowledge of Probability, Statistics, and Linear Algebra

  • Basic understanding of Data Structures and Algorithms


Technical Skills (ATS Keywords)Programming Languages
  • Python

  • R (preferred)

  • Java (basic knowledge)

  • SQL

Machine Learning & AI Frameworks
  • Scikit-learn

  • TensorFlow

  • Keras

  • PyTorch

  • XGBoost

  • LightGBM

Data Processing & Big Data
  • Pandas

  • NumPy

  • Apache Spark

  • PySpark

  • Hadoop

NLP & Advanced Techniques (Preferred)
  • Natural Language Processing (NLP)

  • Computer Vision

  • Deep Learning

  • Transformers

  • LLM fundamentals

Cloud & MLOps
  • AWS (SageMaker, S3, EC2)

  • Microsoft Azure ML

  • Google Cloud AI Platform

  • Docker

  • Kubernetes

  • MLflow

  • CI/CD pipelines

  • Model Deployment & Monitoring

Tools & Concepts
  • Git

  • REST APIs

  • Feature Engineering

  • Model Evaluation Metrics

  • A/B Testing

  • Agile/Scrum


Preferred Qualifications
  • Prior ML internship or academic research experience

  • Experience deploying models into production

  • Knowledge of MLOps practices

  • Strong problem-solving and analytical skills

  • Good communication and teamwork abilities


Compensation & Benefits
  • Competitive hourly compensation ($28 – $45/hr)

  • Hands-on real-world AI/ML project experience

  • Mentorship from senior ML engineers

  • Opportunity for full-time conversion

  • H1B sponsorship support for eligible candidates

  • STEM OPT extension support


Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.