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Ml Engineer Intern Jobs (NOW HIRING)

CUBRC Inc.

Software Engineer Intern

Buffalo, NY · Remote

$24 - $35/hr

SOFTWARE ENGINEER INTERN Position Summary: The successful candidate will perform research on new ... ML and AI enabled software tools supporting our defense, intelligence and homeland security ...

Scowtt Inc

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

Mantari

Software Engineer Intern

Torrance, CA

Exposure to real-time data systems, embedded software, or ML/AI frameworks * Demonstrated success ... Intern projects will be tailored to company needs and student skillsets closer to the start date.

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site +1

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 ...

Insight

AI Engineer Intern

Chicago, IL · On-site

As an Intern Gemini Enterprise AI Specialist, you will support the development of next-generation ... Classroom or project experience with cloud platforms (GCP, AWS, or Azure) and basic AI/ML concepts.

Mantari

Software Engineer Intern

Torrance, CA · On-site

Exposure to real-time data systems, embedded software, or ML/AI frameworks * Demonstrated success ... Intern projects will be tailored to company needs and student skillsets closer to the start date.

Nextnav

AI/ML Internship

Santa Clara, CA · On-site

... intern to join a project centered around Artificial Intelligence and Machine Learning. The candidate will closely work with NextNav's AI/ML engineering team to develop solutions focused on improving ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... ML or Generative AI solutions. * Generative AI: Practical experience with LLMs, prompt engineering ...

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How much do ml engineer intern jobs pay per hour?

As of Jun 28, 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

Software Engineer Intern - Machine Learning Workflow

Halo Industries, Inc.

Santa Clara, CA • On-site

Temporary

Posted yesterday

Job description

The Company


Halo Industries has invented a revolutionary technology to replace a decades-old semiconductor material slicing process. Our laser-based technology eliminates waste, improves material cost and performance, and drives advancements in high-growth markets like automotive, telecommunications, and power electronics. Founded in 2014 at Stanford University, Halo secured significant funding in 2024 and is poised for rapid growth, engaging strategic customers and preparing for volume manufacturing.

The Opportunity

We are looking for a Machine Learning Operations Intern to support data preparation, labeling, training workflows, and validation processes for machine learning systems. The role focuses on executing and monitoring existing ML pipelines, organizing datasets, and helping evaluate model performance.

The intern will work with internal tools and workflows using Python and C#, with guidance from experienced engineers. This position is ideal for someone interested in practical machine learning systems and hands-on experience with real-world data workflows.

Responsibilities
  • Label and organize datasets for machine learning workflows.
  • Run and monitor training and validation pipelines.
  • Assist with evaluating model outputs and identifying data quality issues.
  • Use Python and C# tools to support ML-related workflows and automation.
  • Help troubleshoot pipeline failures and data inconsistencies.
  • Document datasets, experiments, and validation results.
  • Collaborate with engineers to improve workflow efficiency and reliability.
What This Role Offers
  • Hands-on experience with real-world machine learning workflows.
  • Exposure to production ML training and validation systems.
  • Experience working with Python and C# in applied engineering environments.

Requirements

Basic Qualifications
  • Currently pursuing or a recent graduate with a Bachelor`s in Software Engineering, Computer Science, Computer Engineering, or related field.
  • Basic programming experience in Python or C#.
  • Experience working with structured workflows and large datasets.
  • Proficiency to debug simple technical issues and follow documented processes.
Preferred Qualifications
  • Currently pursuing or a recent graduate with a Master`s in Software Engineering, Computer Science, Computer Engineering, or related field.
  • Exposure to machine learning concepts or workflows.
  • Familiarity with Git or collaborative development tools.
  • Experience working with datasets, annotation tools, or automation scripts.

Benefits

Salary Range : 20 - 30 USD per hour.

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