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Applied Mathematics Intern Jobs (NOW HIRING)

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 ...

... applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic ... Research Scientist Intern, AI Alignment Responsibilities: * Develop novel state-of-the-art ...

... applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic ... Research Scientist Intern, AI Alignment Responsibilities: * Develop novel state-of-the-art ...

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Applied Mathematics Intern information

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$11

$19

$34

How much do applied mathematics intern jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for applied mathematics intern in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.63 per hour, depending on experience, location, and employer.

What does an Applied Mathematics Intern do?

An Applied Mathematics Intern applies mathematical concepts and computational techniques to solve real-world problems in various industries, such as finance, engineering, or data science. They assist with data analysis, model development, algorithm implementation, and simulations. Interns may work with teams to apply statistical methods, optimization, or machine learning to practical challenges. This role provides hands-on experience in applying theoretical knowledge to industry-specific problems while developing programming and analytical skills.

What are the key skills and qualifications needed to thrive in the Applied Mathematics Intern position, and why are they important?

To thrive as an Applied Mathematics Intern, you generally need a solid foundation in mathematical analysis, statistical methods, and problem-solving skills, often supported by progress toward a degree in mathematics, statistics, or a related field. Experience with programming languages such as Python, MATLAB, or R, and familiarity with data analysis or mathematical modeling software, are highly valuable. Excellent communication, adaptability, and teamwork are soft skills that help interns effectively share findings and collaborate with diverse teams. These skills ensure interns can translate complex data into actionable solutions, contribute meaningfully to projects, and adapt to varied real-world applications.

What types of projects or tasks are typically assigned to Applied Mathematics Interns?

As an Applied Mathematics Intern, you can expect to work on projects involving data analysis, mathematical modeling, algorithm development, or simulation of real-world systems, depending on the industry. Tasks may include interpreting large datasets, building or improving statistical models, coding mathematical solutions, or supporting research for ongoing business or engineering projects. Interns often collaborate with teams of data scientists, engineers, or business analysts, gaining exposure to how applied mathematics drives decision-making and innovation. This hands-on experience helps you develop both technical and professional skills, preparing you for advanced roles in mathematics or data-driven fields.

More about Applied Mathematics Intern jobs
What cities are hiring for Applied Mathematics Intern jobs? Cities with the most Applied Mathematics Intern job openings:
What are the most commonly searched types of Applied Mathematics jobs? The most popular types of Applied Mathematics jobs are:
What states have the most Applied Mathematics Intern jobs? States with the most job openings for Applied Mathematics Intern jobs include:
Infographic showing various Applied Mathematics Intern job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.
Robotics Intern (Part Time)

Robotics Intern (Part Time)

Faraday Future

El Segundo, CA

$28 - $41/hr

Full-time, Part-time, Internship

Medical, Dental, Vision, Retirement

Posted 8 days ago


Job description

The Company:

Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility and robotics. We're producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. We're not just seeking to change how our cars and robots work – we're seeking to change the way we drive and interact with machines. At FF, we're creating something new, something connected, and something with a true global impact.

Your Role:

We are looking for a highly motivated Robotics Intern (Part Time) to support robotics control and learning projects. This role is ideal for graduate students who want hands-on experience in robot locomotion, reinforcement learning, simulation, and experimental validation while working closely with a motion control team building real robotic systems.

Responsibilities:

  • Support locomotion, motion control, or learning-based robotics projects in simulation and on hardware when appropriate.
  • Implement and run reinforcement learning, imitation learning, or control experiments under guidance from the team.
  • Build tools for logging, visualization, replay, benchmarking, and experiment analysis.
  • Assist with simulator setup, training pipelines, evaluation scripts, and result reporting.
  • Help collect, organize, and analyze robot experiment data for controller tuning and performance debugging.
  • Contribute to prototype features, research explorations, and internal demos related to motion control and robotics learning.

Basic Qualifications:

  • Currently pursuing a Master's or PhD degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or a related field.
  • Strong Python programming skills, including experience developing and debugging technical or research-oriented code.
  • Strong foundation in applied mathematics, including areas such as linear algebra, calculus, probability, optimization, or control theory.
  • Hands-on experience or academic research in one or more of the following domains: robotics, reinforcement learning, motion planning and control, optimization, or physics-based simulation.
  • Familiarity with robotics development and experimentation workflows, including iterative testing, evaluation, and debugging.
  • Strong problem-solving ability and willingness to debug experiments independently.
  • Demonstrated analytical and problem-solving skills, with the ability to independently troubleshoot technical challenges and debug experimental results.

Preferred Qualifications:

  • Hands-on experience with PyTorch, reinforcement learning libraries, or imitation learning workflows.
  • Familiarity with MuJoCo, Isaac Gym, Isaac Lab, Gazebo, or other robotics simulation environments.
  • Hands-on experience with quadruped robots, humanoids, or legged robot simulation/training environments is highly preferred.
  • Experience with reinforcement learning training pipelines, policy optimization, or sim-to-real workflows.
  • Prior robotics project, lab, or competition experience is strongly preferred.
  • Basic C++ knowledge is a plus.
  • Ability to document experiments clearly and communicate insights effectively.

Hourly Salary Range:

($28/hr - $41/hr DOE), plus benefits and incentive plans

Perks + Benefits

  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • 401(k) options
  • Casual dress code + relaxed work environment
  • Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.