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Machine Learning Intern Jobs in Brighton, MA (NOW HIRING)

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... and machine learning models for marketing measurement. This role is designed for someone with ...

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FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... and machine learning models for marketing measurement. This role is designed for someone with ...

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Analogdevices

AI/ML Engineer Intern

Wilmington, MA

$22 - $41/hr

About the Role The AI/ML Engineer Intern role provides students with the opportunity to apply ... Help optimize and deploy machine learning models for efficiency and scalability. * Collaborate with ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Brighton, MA

Machine Learning Intern information

See Brighton, MA salary details

$27.8K

$46.4K

$95.9K

How much do machine learning intern jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning intern in Brighton, MA is $46,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $50,100.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

More about Machine Learning Intern jobs

What are the most commonly searched types of Machine Learning jobs in Brighton, MA?

The most popular types of Machine Learning jobs in Brighton, MA are:

What job categories do people searching Machine Learning Intern jobs in Brighton, MA look for?

The top searched job categories for Machine Learning Intern jobs in Brighton, MA are:

What cities near Brighton, MA are hiring for Machine Learning Intern jobs?

Cities near Brighton, MA with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Brighton, MA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,409 per year, or $22.3 per hour.

Summer 2027 - Data Science and Machine Learning Intern - Boston, MA

Boston, MA

Lutron Electronics Co., Inc.
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

36th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Paid breaks

Learn more about Lutron Electronics Co., Inc.external

$31.25 - $45.25/hr

Temporary, Internship

Posted 29 days ago

Job description

Overview

Lutron is seeking a Data Scientist Intern to join our collaborative team and contribute to high-impact projects. In this role, you will help design and deliver data-driven solutions that power smart lighting and shading systems. At Lutron, your interest in data science will grow through hands-on experience, practical skill-building, and collaboration with experienced data scientists in a supportive environment. 

We consider interns to be very valuable in our search for exceptional future members of our team and pride ourselves in providing outstanding work experience to students from a wide variety of universities and backgrounds.

Responsibilities

Your internship at Lutron could offer you the opportunity to work on: 

  • Communicating complex ideas across all levels of organization using clear data- visualizations techniques   
  • Utilizing tools like Jupyter Notebooks, Python, R, and supporting libraries as well as querying and scripting tools  
  • Communicating verbally & visually, connecting the dots, breaking down complex problems into simpler units 
  • Driving active projects in partnership with crossfunctional teams 
  • Learning and applying newly adopted tools and technologies to enhance system performance, reliability, and scalability 
Qualifications

We seek talented, success-minded people with the desire and ability to make things happen. Our baseline requirements are simple: 

  • You are pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics or Statistics 
  • Your cumulative GPA is at least 3.20 

  • You are a rising junior, rising senior, or master's student at the start of the internship

  • You have broad interests in data science, engineering, and cross-functional collaboration 
  • You are authorized to work in the U.S. and will not require Lutron to sponsor you for any work visa, such as an H-1B, either immediately or at any time in the future. Lutron does not offer work visa sponsorship for this position. 
  • Willingness and aability to work on-site 5 days per week 

Lutron is a team-oriented environment, and you will work within these teams to look at broad issues and identify root causes, not just quick fixes. You must have a willingness to ask tough questions, seek out new resources, and work hard to find the best solution. 

Here is what you can expect from our internship program: 

  • Competitive pay 
  • Housing resources 
  • Meaningful project-based work 
  • Mentorship 
  • Experiential learning 
  • Shadowing opportunities 
  • Collaborative, cross-functional teams 
  • Networking opportunities 
  • Social events 

Starting pay: $31.25 to $45.25 per hour plus relocation assistance.

Lutron Electronics' position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent.  Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at  www.lutron.com. 

Lutron Electronics is an Equal Opportunity - Affirmative Action - Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics 

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