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Materials Engineer Internship Jobs (NOW HIRING)

SEACORP

Engineering Internships 2026

Middletown, RI · On-site

$16.75 - $21.75/hr

Electrical - Electrical Engineering Interns will learn more about commercial engineering practices, materials, and electrical installation standard methods. Mechanical - Mechanical Engineering ...

TERRACON

Intern - Materials

Midvale, UT · On-site

$15.75 - $20.50/hr

Our internship and co op program offer practical exposure to geotechnical, environmental, materials, and facilities engineering, as well as the business functions that support these services. You'll ...

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Materials Engineer Internship information

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$11

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How much do materials engineer internship jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for materials engineer internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does a Materials Engineer Intern do?

A Materials Engineer Intern assists in researching, developing, and testing materials used to create a wide variety of products, such as metals, polymers, ceramics, and composites. Typical tasks may include conducting experiments, analyzing data, preparing samples, and supporting senior engineers in ongoing projects. Interns often gain hands-on experience with laboratory equipment and software, while learning about industry standards and safety protocols. The internship provides valuable exposure to real-world engineering challenges and helps interns develop practical skills in materials science.

What are the key skills and qualifications needed to thrive as a Materials Engineer Intern, and why are they important?

To thrive as a Materials Engineer Intern, you generally need a background in materials science or engineering, strong analytical skills, and coursework in subjects like metallurgy, polymers, or ceramics. Familiarity with laboratory equipment, data analysis software, and CAD tools, along with knowledge of safety standards, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns excel in team environments and present findings clearly. These skills ensure interns can contribute meaningfully to research and development projects, support process improvements, and adapt quickly in a technical setting.

What types of projects and responsibilities can a Materials Engineer Intern expect to work on during their internship?

As a Materials Engineer Intern, you can expect to be involved in hands-on projects such as material testing, data analysis, and assisting with research and development of new materials or processes. Interns often collaborate closely with senior engineers and multidisciplinary teams, gaining exposure to real-world problem-solving in areas like failure analysis or product improvement. The work environment is typically a mix of lab and office settings, and you'll likely have opportunities to present findings or contribute to technical documentation. This experience not only builds technical skills but also helps you develop teamwork and communication abilities essential for advancement in the field.

What is the difference between Materials Engineer Internship vs Materials Engineer?

AspectMaterials Engineer InternshipMaterials Engineer
CredentialsTypically pursuing or recent graduate with a degree in materials science or engineeringBachelor's degree required; often a master's or higher for advanced roles
Work EnvironmentInternship programs, labs, manufacturing facilities, research settingsFull-time professional roles in similar environments
Employer & Industry UsageInternship positions offered by manufacturing, aerospace, automotive companiesEstablished roles in similar industries

The Materials Engineer Internship provides hands-on experience for students or recent graduates, focusing on learning and skill development. In contrast, a Materials Engineer is a full-time professional responsible for designing, testing, and improving materials in industry settings. Internships serve as a stepping stone toward a full engineering career, which involves greater responsibilities and expertise.

What cities are hiring for Materials Engineer Internship jobs? Cities with the most Materials Engineer Internship job openings:
What are the most commonly searched types of Materials Engineer jobs? The most popular types of Materials Engineer jobs are:
What states have the most Materials Engineer Internship jobs? States with the most job openings for Materials Engineer Internship jobs include:
Materials Engineer Internship jobs near you
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Other

Posted 27 days ago

Job description

Company Description

Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K-12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more.
Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale.

Job Description

You will architect and implement the core AI pipeline that powers Accel's test creation system.

Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates.
On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together.
Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product.
This is a generalist role at an early-stage product where you'll wear multiple hats, work with ambiguity, and have direct input into how things are built.

PLEASE NOTE THESE QUESTIONS AND REPLY WITH YOUR APPLICATION:

  1. This is an unpaid internship opportunity. Are you still interested in the role?
  2. What interests you most about this internship and this role? (Please share what excites you about contributing and what you hope to gain from the experience.)
  3. Tell us about the most interesting project you've worked on in this domain. What was the project, and what specific contributions did you make? (Include technologies, responsibilities, outcomes, or measurable impact if applicable.)
  4. How many hours per week are you available to commit to this internship?
  5. Are you currently based in the USA?
Qualifications

Strong foundation in software engineering: data structures, APIs, system design
Proficiency in Python (primary language for AI/ML pipeline work)
Experience with REST APIs and at least one database (PostgreSQL preferred)
Ability to work independently, ask sharp questions, and iterate fast
Strong debugging and problem-solving instincts
Demonstrated side projects or shipped code (GitHub portfolio required)
Genuine interest in AI systems and education technology

Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini
Hands-on experience with RAG systems: embedding models, vector databases (Pinecone, 
Weaviate, pgvector, Chroma)
Familiarity with prompt engineering techniques: few-shot prompting, chain-of-thought, 
structured JSON outputs
Experience with NLP pipelines: text chunking, tokenization, semantic search
Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX)
Experience with image generation APIs or SVG programmatic generation
Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs
Cloud platform experience: AWS, GCP, or Vercel for deployment
Experience with job queues: Celery, Bull, or similar
Exposure to educational content standards or psychometrics is a bonus

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply