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Ml Engineer Intern Jobs (NOW HIRING)

Melotech

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content platform. You'll tackle the critical questions: How do we build ML systems that scale to millions of ...

Pathos

ML Engineer (Intern)

New York, NY · On-site

$30 - $60/hr

Individuals ready to build at the boundary of ML research and production systems * Engineers looking to scale skills in distributed training, model development, and agentic systems Location This is a ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Deploy ML models using REST APIs or cloud services * Work on model monitoring, validation, and ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Deploy ML models using REST APIs or cloud services * Work on model monitoring, validation, and ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Deploy ML models using REST APIs or cloud services * Work on model monitoring, validation, and ...

SkyGig

ML Software Engineer Intern

San Jose, CA · On-site

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...

SkyGig

ML Software Engineer Intern

San Jose, CA

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...

Clera

Founding Engineer Intern

San Francisco, CA · On-site

... Intern to join their founding team in San Francisco. You'll work directly with the CTO to ship ... Full-stack focus - not an ML engineer and not overly specialized in a single language (e.g. Python ...

Clera

Founding Engineer Intern

San Francisco, CA · On-site

... Intern to join their founding team in San Francisco. You'll work directly with the CTO to ship ... Full-stack focus -- not an ML engineer and not overly specialized in a single language (e.g. Python ...

Laserfiche

Software Engineer Intern

Washington, DC · On-site

$35 - $40/hr

Software Engineer Intern Laserfiche is hiring Software Engineer Interns to work closely with our ... Experience with Machine Learning is a plus (Data Modeling, applying ML libraries). * Experience in ...

Syntiant

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Knowledge of Python, ML frameworks like TensorFlow/Keras, PyTorch, C. Benefits About Syntiant

Syntiant

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Knowledge of Python, ML frameworks like TensorFlow/Keras, PyTorch, C. Benefits About Syntiant

Syntiant

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Knowledge of Python, ML frameworks like TensorFlow/Keras, PyTorch, C. Benefits About Syntiant

Nirmata

AI Software Engineer Intern

San Jose, CA

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered ...

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How much do ml engineer intern jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for ml engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Ml Engineer Intern vs Data Scientist Intern?

AspectML Engineer InternData Scientist Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksSimilar educational background; strong statistical and analytical skills; familiarity with data analysis tools
Work EnvironmentFocus on developing and deploying machine learning models, coding in Python, TensorFlow, or PyTorchFocus on analyzing data, creating visualizations, and deriving insights from datasets
Employer & Industry UsageCommon in tech companies, AI startups, and research labsWidely used across tech, finance, healthcare, and consulting firms

Both roles are entry-level internships requiring a background in data-related fields. ML Engineer Interns focus on building and deploying machine learning models, while Data Scientist Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as an ML Engineer Intern, and why are they important?

To thrive as an ML Engineer Intern, you need a solid foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by coursework or hands-on projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is expected. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in team environments. These skills are important because they enable interns to contribute meaningfully to real ML projects while rapidly acquiring new knowledge and adapting to evolving technologies.

What are ML Engineer Interns?

ML (Machine Learning) Engineer Interns are students or recent graduates who assist in designing, building, and deploying machine learning models under the guidance of experienced professionals. Their responsibilities often include data preprocessing, experimenting with algorithms, evaluating model performance, and collaborating with software engineers and data scientists. ML Engineer Interns gain hands-on experience with programming languages like Python, libraries such as TensorFlow or PyTorch, and tools for data analysis. This role is a valuable opportunity to learn how machine learning solutions are developed and applied in real-world scenarios.

What types of projects and responsibilities can an ML Engineer Intern expect to work on during their internship?

As an ML Engineer Intern, you can expect to work on a variety of projects ranging from data preprocessing and cleaning to building and testing machine learning models under the guidance of senior engineers. Interns often contribute to tasks such as feature engineering, model evaluation, and deploying models into production environments. You may also collaborate with data scientists and software engineers to integrate ML solutions into larger systems or products. This hands-on experience not only helps develop your technical skills but also provides insight into industry-standard workflows and team structures.
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Ml Engineer Intern jobs near you

AI/ML Engineer Intern, Data Engineering

Ryan, LLC

Plano, TX • On-site

Full-time

Posted 4 days ago

Job description

Why Ryan?

  • Competitively Paid Internship

  • Award-Winning Culture

  • Paid Holidays

  • Mentorship Opportunities and Hands-On Training

  • Networking with Industry Leaders

  • All-Expense-Paid Trip to Ryan Headquarters in Dallas, TX (Summer Interns Only)

The AI/ML Engineer Intern, Data Engineering will support the development and deployment of AI and machine learning solutions that improve business processes and operational efficiency. This role provides hands-on experience with AI/ML technologies, cloud platforms, data engineering pipelines, and modern software development practices.
The intern will collaborate with AI/ML engineers, data engineers, data scientists, and product teams to assist with building scalable data and AI solutions using Python, cloud services, and machine learning frameworks.

Duties and Responsibilities:

  • Assist in developing and testing AI/ML models and data pipelines.

  • Support cloud-based AI/ML deployments in Azure or AWS environments.

  • Contribute to data engineering and MLOps workflows.

  • Work with modern AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and MLFlow.

  • Participate in Agile development activities and team collaboration.

  • Support generative AI and data-driven solution initiatives.

Education and Experience:

  • Working toward a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.

  • Anticipated graduation date within one year of internship

  • Minimum Overall and Major GPA of 2.8

  • Familiarity with Python or other programming languages.

  • Basic understanding of machine learning, databases, and cloud technologies.

  • Strong analytical, communication, and problem-solving skills.

  • Exposure to AI/ML projects, Git, or cloud platforms is a plus.

Professional Skills Requirements:

  • Work effectively in a fast pace, high-energy environment.

  • Strong problem solving, attention to detail, and communication skills.

  • Ability to prioritize tasks, work on multiple assignments, and manage ambiguity.

  • Ability to work both independently and as part of a team with professionals at all levels.

  • Intermediate knowledge of all Microsoft Office applications, Outlook, and etc.

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Word, Access, Excel, PowerPoint, Outlook, and Internet navigation and research.

Certificates and Licenses:

Valid driver's license required.

Supervisory Responsibilities:

This position has no supervisory responsibilities.

Equal Opportunity Employer: disability/veteran

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