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Machine Learning Intern Jobs in Massachusetts (NOW HIRING)

Intern, Engineering

Marlborough, MA

$17.25 - $22.50/hr

The Engineering Intern will support the team by working with SBO crystal imaging data, including annotating images and assisting with machine learning (ML) dataset preparation and training workflows.

AI & DevOps Engineering Intern

Waltham, MA ยท On-site

$18 - $23.50/hr

... and Machine Learning (ML) can transform real-world business operations? We are seeking a dynamic ... Intern to join our team. This program offers a unique opportunity to gain hands-on experience ...

The Machine Learning/Artificial Intelligence (ML/AI) group at Microsoft Research NYC is looking for a Research Intern candidate with a background in language modeling and reinforcement learning, for ...

Volunteer/ Intern

Dorchester, MA ยท Hybrid

$15.75 - $21/hr

Description SUMMARY The Community Health Intern provides an opportunity in a structured learning environment to set and evaluate personal and professional goals and objectives plans that support ...

Volunteer/ Intern

Dorchester, MA ยท On-site

$15.75 - $21/hr

Job Type Part-time Description SUMMARY The Community Health Intern provides an opportunity in a structured learning environment to set and evaluate personal and professional goals and objectives ...

Volunteer/ Intern

Dorchester, MA ยท On-site

$15.75 - $21/hr

SUMMARY The Community Health Intern provides an opportunity in a structured learning environment to set and evaluate personal and professional goals and objectives plans that support DotHouse Health ...

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Machine Learning Intern information

See Massachusetts salary details

$27.8K

$46.5K

$96.1K

How much do machine learning intern jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning 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 are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Massachusetts? The most popular types of Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Intern jobs? Cities in Massachusetts with the most Machine Learning Intern job openings:
Internship - Multimodal Algorithmic Reasoning

Internship - Multimodal Algorithmic Reasoning

Mitsubishi Electric Research Laboratories

Cambridge, MA โ€ข On-site

Internship

Posted 7 days ago


Job description

MERL is looking for a self-motivated intern to research on problems at the intersection of multimodal large language models and neural algorithmic reasoning. An ideal intern would be a Ph.D. student with a strong background in machine learning and computer vision. The candidate must have prior experience with training multimodal LLMs for solving vision-and-language tasks. Experience in participating and winning mathematical Olympiads is desired. Publications in theoretical machine learning venues would be a strong plus. The intern is expected to collaborate with researchers in the computer vision team at MERL to develop algorithms and prepare manuscripts for scientific publications.
Required Specific Experience
  • Experience with training large vision-and-language models
  • Experience with solving mathematical reasoning problems
  • Experience with programming in Python using PyTorch
  • Enrolled in a PhD program
  • Strong track record of publications in top-tier computer vision and machine learning venues (such as CVPR, NeurIPS, etc.).

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.