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Applied Math Internships Jobs (NOW HIRING)

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Science, Applied Math, Statistics, Operations Research, or similar quantitative field.

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Science, Applied Math, Statistics, Operations Research, or similar quantitative field.

Applied Optimization

Mechanical Engineering Intern

Fairborn, OH · On-site

$17.75 - $23.75/hr

Applied Optimization (AO) Job Title: Mechanical Engineering Intern Reports to: Principal Scientist ... Conduct numerical modeling, mathematics support, and computer programming * Support resolution of ...

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How much do applied math internships jobs pay per year?

As of Jul 3, 2026, the average yearly pay for applied math internships in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Applied Math Internships, and why are they important?

To thrive in Applied Math Internships, you need strong mathematical reasoning, problem-solving abilities, and coursework in calculus, linear algebra, and statistics. Familiarity with programming languages like Python, MATLAB, or R, as well as data analysis tools, is often required. Effective communication, collaboration, and adaptability help interns present findings and work within interdisciplinary teams. These skills and qualities are essential for translating mathematical theory into practical solutions and contributing effectively to research or business projects.

What is the difference between Applied Math Internships vs Data Analyst Internships?

AspectApplied Math InternshipsData Analyst Internships
Required CredentialsMathematics, statistics, or related degrees; programming skillsStatistics, data analysis, programming, often with business focus
Work EnvironmentResearch labs, tech companies, finance, academiaBusiness, finance, marketing, tech firms
Employer & Industry UsageResearch institutions, tech companies, finance firmsCorporations, consulting firms, marketing agencies
Common Search & Comparison IntentUnderstanding internship roles in applied mathExploring data analysis internship opportunities

Applied Math Internships focus on mathematical modeling, algorithm development, and research, often in academic or research settings. Data Analyst Internships emphasize data interpretation, visualization, and business insights, typically within corporate environments. While both roles require analytical skills and programming knowledge, they serve different industry needs and career paths.

What types of projects can I expect to work on during an Applied Math internship?

As an Applied Math intern, you’ll typically work on real-world problems that require mathematical modeling, data analysis, and algorithm development. Projects may include optimizing business processes, analyzing large datasets, or developing simulations for engineering or financial applications. Interns often collaborate with interdisciplinary teams that include data scientists, engineers, and business analysts, giving you exposure to practical applications of mathematical theories. This hands-on experience helps build both technical and communication skills, which are valuable for future career growth.

What are applied math internships?

Applied math internships are short-term opportunities for students or recent graduates to gain practical experience using mathematical theories and methods to solve real-world problems in various industries. These internships often involve working on projects related to data analysis, modeling, optimization, or statistical research. They provide valuable hands-on experience, help build professional networks, and can be a stepping stone to a full-time career in fields like finance, technology, engineering, or research. Interns typically collaborate with professionals, learn new software tools, and apply classroom knowledge to practical challenges.
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Applied Math Internships jobs near you
Infographic showing various Applied Math Internships job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.
Research Intern - Advanced Wireless Technology Development for 6G Networks

Research Intern - Advanced Wireless Technology Development for 6G Networks

FUTUREWEI TECHNOLOGIES INC

Schaumburg, IL • On-site

Other

Posted 2 days ago

Job description

Futurewei is expanding leadership in creating innovative networking technologies for 6G wireless networks. We are seeking Fall interns to focus on PHY layer research into wireless networking and technology for 6G Radio Access Networks.


Responsibilities:

  • Our intern will focus on research into wireless networking and technology for 6G Radio Access Networks.
  • The program goal will be to develop and demonstrate novel concepts for advanced wireless networks utilizing cutting-edge communication theory techniques, drawing from advances in optimization and signal processing techniques, and built upon our existing research outcomes in these areas.

  • A range of research activities are available to pursue in this important area. These have been identified as part of our recent research work and include advanced MIMO/BF communication, network energy saving, PHY layer signal and receiver design in mobile networks, etc.

Requirements:

The successful candidate will have:

  • Completion of applicable graduate coursework in relevant fields within electrical engineering and/or applied mathematics, e.g., wireless communication, signal processing, stochastic processes, communications networks, and optimization. Doctoral students with completion of master's degree, in Electrical Engineering, Computer science and/or Applied Mathematics are preferred.
  • Candidate should have knowledge in wireless networks, and knowledge and previous experience in reference signal design, MIMO/Beamforming and its performance evaluation for wireless communications.
  • Excellent communication and teamwork skills.
  • Proficiency with commercial programming/processing tools, e.g., MATLAB, Python.


Location:

Schaumburg, IL

Employment Type: Intern

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