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Ml Engineer Intern Jobs (NOW HIRING)

DataRobot

Agentic AI Intern

Boston, MA · Remote

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ... How to automate the ML lifecycle from data ingestion through deployment and monitoring Business ...

DataRobot, Inc.

Agentic AI Intern

Boston, MA · On-site

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ... How to automate the ML lifecycle from data ingestion through deployment and monitoring Business ...

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Ml Engineer Intern information

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How much do ml engineer intern jobs pay per hour?

As of Jul 22, 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
Infographic showing various Ml Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Software Engineer Intern - Air Taxi

Software Engineer Intern - Air Taxi

Joby Aviation

San Carlos, CA

$5.5K - $7.8K/mo

Internship

Posted 7 days ago

Job description

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. At Joby, we've been working to make that dream a reality since 2009 and we're now in the final stages of certifying our aircraft with the FAA. With plans to launch our aircraft in the US and Dubai, we're now scaling manufacturing and preparing for the launch of our commercial service.


Join the Air Taxi Systems team at Joby Aviation as a Software Engineer Intern, where you will directly contribute to building the software that brings quiet, emissions-free flight to the world. In this role, you will assist in developing features across our full technology stack, including backend services, data pipelines, and implementing AI-driven features. You will collaborate closely with product managers, designers, and operations teams to deliver scalable software solutions from ideation to release.


Assist in the development and implementation of features across various parts of the full-stack system, including backend services and internal tools.

Collaborate with cross-functional teams (Product, Design, Flight Ops) to contribute to defining requirements and delivering mobile solutions.

Assist in designing and implementing data flows for seamless app functionality.

Contribute to client/server interactions and occasionally assist with backend APIs.

Contribute to the implementation and integration of AI/ML models into operational software and data pipelines.

Participate in team software processes such as requirement and test plan generation, design doc creation, code reviews and deployments.


Currently pursuing a BS/MS in Computer Science or a related technical field

Basic knowledge of a common modern language (e.g., Python, Go, Java).

Familiarity with foundational concepts in data structures, algorithms, and software engineering.

Familiarity with system design concepts, including client/server interactions.


Experience with a backend language (e.g., Java, Go, Python).

Previous experience in aviation, transportation logistics, or regulated industries.

Experience in high-growth, startup-like environments.

Basic exposure to or coursework in machine learning, data science, or AI applications.


Relocation Assistance: This position does not offer relocation assistance. Candidates must live in the immediate area or relocate at their own expense.
The pay range for undergraduate interns, which includes freshman to senior level students, is $22-$31/hr. The pay range for graduate interns with a Bachelor, Master, and/or Ph.D. degree is $5,550-$7,800/month. Individual pay is determined by internship role, department, experience, job-related skills, and level of education.

Joby is an Equal Opportunity Employer

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