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Internship Mathematical Engineer Jobs (NOW HIRING)

Project Engineer Summer Internship

Denver, CO

$17.25 - $22.50/hr

This internship applies the general knowledge of the physical sciences and mathematics underlying engineering and specialized knowledge of the mechanics of solids (particularly of soils), hydraulics ...

Project Engineer Summer Internship

Rocklin, CA

$17.50 - $22.50/hr

This internship applies the general knowledge of the physical sciences and mathematics underlying engineering and specialized knowledge of the mechanics of solids (particularly of soils), hydraulics ...

... Engineering programs to join our Summer Internship program. In addition to technical acumen, we ... Strong foundation in mathematics and physics * Knowledge of radar technology and signal processing

Transportation Internship

Reno, NV

$17.50 - $22.75/hr

Collaborating closely with our traffic engineers, you'll help develop and implement roadway ... Ability to interpret an extensive variety of technical instructions in mathematical or diagram form ...

Transportation Internship

Reno, NV · On-site

$17.50 - $22.75/hr

Collaborating closely with our traffic engineers, you'll help develop and implement roadway ... Ability to interpret an extensive variety of technical instructions in mathematical or diagram form ...

Internship

York, PA · On-site

$16.50 - $21.50/hr

The majority of the internship will be focused on the intern's specific field of interest with the ... engineering focus. * Understanding of math and science as well as understanding of their technical ...

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How much do internship mathematical engineer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for internship mathematical engineer 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 are the key skills and qualifications needed to thrive as an Internship Mathematical Engineer, and why are they important?

To thrive as an Internship Mathematical Engineer, you need a solid grasp of advanced mathematics, problem-solving abilities, and a background in engineering or applied mathematics, typically supported by current enrollment in a relevant degree program. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and data analysis tools is commonly expected. Strong analytical thinking, attention to detail, and effective teamwork skills make candidates stand out in this position. These competencies are crucial for accurately modeling complex systems, delivering innovative solutions, and collaborating efficiently within technical teams.

What does an Internship Mathematical Engineer do?

An Internship Mathematical Engineer works under the supervision of experienced engineers to apply mathematical theories and techniques to solve real-world engineering problems. Typical responsibilities include creating mathematical models, analyzing data, running simulations, and supporting research and development projects. Interns often collaborate with multidisciplinary teams, contribute to technical reports, and help optimize engineering processes. This role provides hands-on experience in applying math to fields like software development, data science, or industrial engineering.

What types of projects do Mathematical Engineering interns typically work on, and how do these projects contribute to the team?

As a Mathematical Engineering intern, you can expect to work on projects that involve developing mathematical models, analyzing large datasets, or creating simulations to solve real-world problems relevant to your team. These projects often support ongoing research, product development, or process optimization efforts, allowing you to apply theoretical knowledge in practical contexts. Interns frequently collaborate with senior engineers, data scientists, and software developers, gaining exposure to cross-functional teamwork and learning industry-standard tools. Your contributions can directly impact the team's outcomes, providing valuable experience and potential opportunities for future roles within the organization.
More about Internship Mathematical Engineer jobs
What cities are hiring for Internship Mathematical Engineer jobs? Cities with the most Internship Mathematical Engineer job openings:
What are the most commonly searched types of Mathematical Engineer jobs? The most popular types of Mathematical Engineer jobs are:
What states have the most Internship Mathematical Engineer jobs? States with the most job openings for Internship Mathematical Engineer jobs include:
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Internship

Posted 7 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.