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Machine Design Intern Jobs in Massachusetts (NOW HIRING)

Skyworks

RF Design Automation Co-Op

Andover, MA · On-site

$22.50 - $42/hr

Experience applying machine learning, AI-assisted coding tools, predictive analytics, or data ... The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 ...

Skyworks

RF Design Automation Co-Op

Andover, MA · On-site

$22.50 - $42/hr

Experience applying machine learning, AI-assisted coding tools, predictive analytics, or data ... The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 ...

Skyworks

RF Design Automation Co-Op

Andover, MA

$22.50 - $42/hr

Experience applying machine learning, AI-assisted coding tools, predictive analytics, or data ... The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 ...

Analog Devices

Mixed Signal Engineer Intern

Wilmington, MA · On-site

$22 - $41/hr

About the Role As a Mixed Signal Engineer Intern at Analog Devices (ADI), you will contribute to ... Develop and validate machine learning models for analog design automation. * Analyze design data ...

Skyworks

RF Design Co-Op (Jan-June 2027)

Andover, MA · On-site

$22.50 - $42/hr

Familiarity with automation, machine learning, AI-assisted engineering tools, or advanced ... The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 ...

New

Skyworks

RF Design Co-Op (Jan-June 2027)

Andover, MA · On-site

$22.50 - $42/hr

Familiarity with automation, machine learning, AI-assisted engineering tools, or advanced ... The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 ...

New

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Showing results 21-40

All JobsMachine Design Intern JobsMachine Design Intern Jobs in Massachusetts

Machine Design Intern information

What does a machine design intern do?

A Machine Design Intern assists engineers in creating and improving mechanical systems, components, or machines. Their responsibilities often include drafting technical drawings, performing calculations, conducting research, and helping with prototyping and testing. Interns use computer-aided design (CAD) software to develop and modify designs under the guidance of senior engineers. This role provides practical experience in the engineering design process and helps interns build skills that are essential for a career in mechanical engineering.

What are the key skills and qualifications needed to thrive as a machine design intern?

To thrive as a Machine Design Intern, you need a foundational understanding of mechanical engineering principles, CAD design, and materials science, typically gained through ongoing or completed coursework in mechanical engineering or a related field. Familiarity with CAD software like SolidWorks or AutoCAD, and basic knowledge of simulation tools such as ANSYS, are commonly required. Attention to detail, teamwork, and strong problem-solving abilities are standout soft skills for this role. These skills and qualifications are vital for contributing to effective, safe, and innovative machine design solutions in a collaborative engineering environment.

What kinds of projects and responsibilities can a machine design intern typically expect during their internship?

As a Machine Design Intern, you can expect to work on a variety of hands-on projects, such as creating CAD models, assisting with prototype development, and conducting design validation tests. Interns often collaborate closely with experienced engineers and cross-functional teams, contributing to brainstorming sessions and design reviews. You'll gain exposure to the entire product development cycle and may be tasked with solving real-world engineering challenges, documenting design changes, and preparing technical reports. This role offers excellent learning opportunities and is a great stepping stone for a career in mechanical engineering or product design.

What is the difference between Machine Design Intern vs Mechanical Engineering Intern?

AspectMachine Design InternMechanical Engineering Intern
Required CredentialsEnrolled in Mechanical Engineering or related field, basic CAD skillsEnrolled in Mechanical Engineering or related field, basic engineering coursework
Work EnvironmentDesign labs, CAD software, prototype testingDesign labs, manufacturing facilities, testing environments
Employer & Industry UsageManufacturers, engineering firms focusing on product designVarious industries including automotive, aerospace, manufacturing

In summary, a Machine Design Intern focuses specifically on designing mechanical components and systems using CAD tools, often within product development teams. A Mechanical Engineering Intern has a broader scope, involving general engineering tasks across different areas like manufacturing, testing, and analysis. Both roles provide valuable industry experience but differ in specialization and daily responsibilities.

What cities in Massachusetts are hiring for Machine Design Intern jobs?

Cities in Massachusetts with the most Machine Design Intern job openings:

Machine Design Intern jobs near you

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 18 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)