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Internship Machine Learning Jobs in Boston, MA (NOW HIRING)

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

... machine learning, computer science, or related discipline. * At least 1 year of experience with deep learning, language modeling, and/or reinforcement learning. Other Requirements * Research Interns ...

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

Showing results 41-60

Internship Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do internship machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for internship machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

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

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

What are popular job titles related to Internship Machine Learning jobs in Boston, MA?

For Internship Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning jobs in Boston, MA look for?

The top searched job categories for Internship Machine Learning jobs in Boston, MA are:

Infographic showing various Internship Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Product Engineering Internship, Simulation and Verification (Fall 2026)

Cadence Design Systems, Inc.

Burlington, MA • On-site

$35 - $55/hr

Full-time

Re-posted 20 days ago


Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 244 rated software companies


Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Product Engineering Internship, Simulation and Verification (Fall 2026)
This PE Internship will be based out of our Burlington office during the Fall Semester. Applicants should be local to the area in order to be available onsite.
Responsibilities:
  • As a Product Engineering intern, you will get the opportunity to work on the simulation and verification-validation testing of high-speed digital systems.
  • Simulate PCBs and packages in commercial 2.5D electromagnetics simulators to extract models and subsequently, impedance profiles; perform time domain analysis
  • Provide feedback to developers on simulation tool usage

Requirements:
  • Currently enrolled as student pursuing MSEE or equivalent
  • Experience or course work in electromagnetics, optimization, signal processing and system analysis, and channel theory or associated courses.
  • Experience using signal integrity analysis and extraction tools (Cadence Sigrity, ADS, HFSS)
  • Interest, or have experience in machine learning is a plus.
  • Must be available to work onsite in Burlington office 40 hours a week. This role is not remote.

The hourly range for Masachusetts is $35 to $55 per hour. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Please note that the hourly range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location.
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