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Internship Mathematical Engineer Jobs (NOW HIRING)

About the Internship At Avride, ML Engineer Interns operate at the intersection of cutting-edge ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

Opportunities, including full-time summer internships and part-time work throughout the school year ... mathematics, engineering, physics or computer science) or finance (with extensive coursework in ...

... strong internship or research project experience qualifies) * Strong Python skills * Solid fundamentals: rigid body dynamics, linear algebra, spatial math, programming * Coursework or project ...

About the Internship At Avride, Research Engineer Interns operate at the intersection of cutting ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

... internship or research project experience qualifies) * Strong Python skills * Solid fundamentals: rigid body dynamics, linear algebra, spatial math, programming * Coursework or project experience ...

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Internship Mathematical Engineer information

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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.
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Full-time, Part-time, Internship

Posted 28 days ago


Job description

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.
Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.
Primary Responsibilities
  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements
  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.