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Material Science Engineer Jobs in Massachusetts (NOW HIRING)

Verdox, Inc

D. in Polymer Science and Engineering, Materials Science and Engineering, Chemistry, Chemical Engineering, with at least 2-5 years of industry experience * Deep understanding of polymer structure ...

Exponent

Manager, Materials Science (Ph.D.)

Natick, MA · On-site

$165K - $195K/yr

About Exponent Exponent is the only premium engineering and scientific consulting firm with the ... material performance, degradation, and failure across a range of industries * Building and ...

New

SES

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage ...

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All JobsMaterial Science Engineer JobsMaterial Science Engineer Jobs in Massachusetts

Material Science Engineer information

See Massachusetts salary details

$41.5K

$110K

$172.6K

How much do material science engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for material science engineer in Massachusetts is $110,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $127,200.00 per year, depending on experience, location, and employer.

What is a material science engineer?

Material Science Engineers are professionals who study, develop, and test materials used to create a wide range of products, from electronics to medical devices to construction materials. They apply principles of chemistry, physics, and engineering to understand how materials behave and how they can be improved or adapted for specific uses. Their work often involves researching new materials, analyzing their properties, and collaborating with other engineers or scientists to solve complex problems. Material Science Engineers play a crucial role in advancing technology and making products safer, stronger, and more efficient.

What are the key skills and qualifications needed to thrive as a material science engineer?

To thrive as a Material Science Engineer, you need a solid background in materials engineering, chemistry, and physics, usually supported by a degree in materials science or a related field. Familiarity with laboratory analysis tools, materials characterization instruments (like SEM, XRD), and simulation software (such as MATLAB or ANSYS) is commonly required. Problem-solving, analytical thinking, and effective collaboration are crucial soft skills for innovating and working on multidisciplinary projects. These competencies ensure the development of advanced materials and solutions that meet industry standards and drive technological progress.

What are the most common challenges material science engineers face when working on cross-functional project teams?

Material Science Engineers often collaborate with professionals from mechanical, electrical, and manufacturing disciplines, which can present challenges in aligning technical requirements and timelines. Communication gaps may arise due to differences in technical language or priorities, making it essential to clearly convey material properties and limitations. Successfully navigating these challenges typically involves proactive collaboration, flexibility, and a willingness to learn about related fields to ensure project goals are met and innovative solutions are developed.

What is the difference between Material Science Engineer vs Materials Engineer?

AspectMaterial Science EngineerMaterials Engineer
CredentialsBachelor's or Master's in Materials Science, Engineering, or related fieldBachelor's or Master's in Materials Science, Materials Engineering, or related field
Work EnvironmentResearch labs, manufacturing facilities, R&D departmentsManufacturing plants, R&D labs, quality control
Industry UsageResearch, development, testing of new materialsMaterial selection, processing, and quality assurance

Both roles focus on materials, but Material Science Engineers primarily engage in research and development of new materials, while Materials Engineers often work on applying and processing materials in manufacturing. The roles overlap in credentials and work environments, but their core responsibilities differ slightly.

Are material science engineers in demand?

Material science engineers are in demand due to their expertise in developing new materials for industries such as aerospace, automotive, and electronics. Employment opportunities are expected to grow as innovation and technological advancements continue, requiring skills in research, testing, and materials characterization tools like microscopy and spectroscopy.

What do material science engineers do?

Material science engineers research and develop new materials or improve existing ones for various applications, such as aerospace, electronics, and healthcare. They analyze material properties, use tools like microscopy and spectroscopy, and often work in laboratories or manufacturing environments to ensure materials meet performance and safety standards.

What is the average salary for a material science engineer in the US?

The average salary for a material science engineer in the US is approximately $80,000 to $100,000 per year, depending on experience, education, and location. Professionals with advanced skills in materials characterization and proficiency with tools like CAD or simulation software may earn higher salaries.

What are popular job titles related to Material Science Engineer jobs in Massachusetts?

For Material Science Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Material Science Engineer jobs in Massachusetts look for?

The top searched job categories for Material Science Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Material Science Engineer jobs?

Cities in Massachusetts with the most Material Science Engineer job openings:

Material Science Engineer jobs near you
Infographic showing various Material Science Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $110,018 per year, or $52.9 per hour.

AI Residency Program, Material Science (2026 Cohort)

Cambridge, MA • On-site, Remote

Lila Sciences
See more jobs at Lila Sciencesexternal

Full-time

Re-posted 18 days ago

Key responsibilities

  • Design and execute independent research projects in AI for materials science

  • Collaborate with Lila scientists and engineers on open-science initiatives

  • Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation

Job description

AI Resident - 2026 Cohort

The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science. Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.

  • Duration: 6-12 months (extension possible)
  • Start Dates: First hires beginning January 2026, with rolling applications and additional intakes in Summer and Fall 2026
  • Cohort Size: Small group of selected residents
  • Mentorship: Pairing with technical mentors, feedback from cross-functional teams
  • Resources: Access to proprietary datasets, high-performance compute, and Lila's research infrastructure

Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.

 
Application Requirement:
Please submit your resume alongside a research proposal (up to 3 pages, unlimited references) outlining the project you would plan to pursue during your residency at Lila Sciences. Please submit your research proposal as your cover letter. Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included. 

Your Impact at Lila

The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila's world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required - what matters most is pushing the frontier of scientific discovery.

What You'll Be Building

  • Design and execute independent research projects in AI for materials science
  • Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives
  • Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation
  • Contribute to collaborative team research and co-develop novel approaches to scientific discovery
  • Share findings internally and externally; publications are welcome but not mandatory

What You'll Need to Succeed

  • Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelor's, Master's, or PhD)
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch)
  • Experience working with large-scale datasets or simulations
  • Familiarity with modern AI/ML architectures and training techniques
  • Strong research background, demonstrated through publications, thesis work, or open-source projects

Bonus Points For

  • Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, simulations)
  • Familiarity with Bayesian optimization, active learning, or generative models
  • Experience in reinforcement learning or agent-based approaches to scientific reasoning
  • Open-source contributions or collaborative research experience
  • Strong communication and writing skills, especially for conveying complex scientific ideas

Apply