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Machine Learning Engineer Intern Jobs in Massachusetts

National Grid

Senior Machine Learning Engineer

Waltham, MA · On-site

$154.61K/yr

Design, provision, and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. Write high-quality code that ...

Chewy

Staff Machine Learning Engineer

Boston, MA

$186.50K - $297.50K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Chewy

Senior Machine Learning Engineer

Boston, MA · On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

Overview: The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

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Machine Learning Engineer Intern information

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$27.8K

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How much do machine learning engineer intern jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning engineer intern in Massachusetts is $46,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
More about Machine Learning Engineer Intern jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Massachusetts? The most popular types of Machine Learning Engineer jobs in Massachusetts are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Massachusetts? For Machine Learning Engineer Intern jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Massachusetts look for? The top searched job categories for Machine Learning Engineer Intern jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Engineer Intern jobs? Cities in Massachusetts with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Massachusetts as of May 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $46,507 per year, or $22.4 per hour.

Senior Machine Learning Engineer

National Grid

Waltham, MA

$154.61K/yr

Other

Posted 16 days ago

Job description

About us

At National Grid we are committed to delivering safe and reliable energy to the customers and communities we serve. We are one of the largest investor-owned energy companies in the world. We are proud of the contributions our work and our people make to the prosperity and wellbeing of our customers, communities, and investors.

Job Purpose

Assist with designing the enterprise AI platform. Build and maintain the AI platform. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team. Work with data scientists to understand their data needs and put together data pipelines to ingest data. Work with data scientists to take model prototypes to production. Mentor and train junior team members. Work with internal IT teams (security, Cloud, Global Active Directory, Architecture, Networking, etc.) to advance the team's projects. Enhance code deployment lifecycle. Improve model monitoring frameworks. Refine project operations documentation. Design, provision, and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. Write high-quality code that has high test coverage. Participate in code reviews to help improve code quality. Work closely with IT to stay up to date on upcoming changes to National Grid's infrastructure.

Qualifications

Bachelor's degree, or foreign degree equivalent, in Computer Science, Data Science, STEM major, or a related degree, and 4 years of experience in a related occupation required.  The position also requires: 3 years in AI/ML Engineering and Cloud Infrastructure work; 3 years experience in Python including Pandas & scikit-learn, and SQL; 3 years experience in software engineering; 3 years of experience in Git and GitHub; 2 years of experience in Terraform; and 2 years experience with modern security and networking principles and standards. Telecommuting may be permitted. When not telecommuting, must report/appear into/at the National Grid USA Service Company, Inc. offices in Waltham, MA. $154,606 - $154,606 per year.

National Grid USA Service Company, Inc. will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable).

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