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Remote Applied Mathematics Intern Jobs in Boston, MA

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI ...

Dlapiper

Data Scientist

Boston, MA · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

ICONSTAFF

Backend Engineer/FullStack

Cambridge, MA · On-site +1

$140K - $220K/yr

You'll work at the intersection of engineering and applied ML, building systems that process real ... Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent ...

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All JobsApplied Mathematics Intern JobsRemote Applied Mathematics Intern JobsRemote Applied Mathematics Intern Jobs in Boston, MA

Remote Applied Mathematics Intern information

See Boston, MA salary details

$9

$18

$26

How much do remote applied mathematics intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote applied mathematics intern in Boston, MA is $18.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

Is applied math in demand?

Applied mathematics is in high demand across industries such as finance, data science, engineering, and technology, where analytical and problem-solving skills are essential. Roles like remote applied mathematics interns often require proficiency in programming tools like MATLAB or Python and a strong foundation in mathematical modeling, making these skills valuable in the job market.

Is it possible to get a remote applied mathematics internship?

Yes, remote applied mathematics internships are available at many organizations, especially in tech, finance, and research sectors. These internships often require strong analytical skills, proficiency in programming tools like Python or MATLAB, and a background in mathematics or related fields. Applicants should review specific company requirements and application deadlines for remote opportunities.

What jobs can you get with a remote applied mathematics intern?

A remote applied mathematics intern can pursue roles such as data analyst, quantitative analyst, operations researcher, or research assistant. These positions often require skills in programming, statistical analysis, and problem-solving, and may be found in industries like finance, technology, or research organizations.

Which internship is best for applied mathematics students?

The best internship for applied mathematics students is one that offers hands-on experience in data analysis, modeling, or computational methods, often within industries like finance, technology, or research institutions. Internships that require proficiency in programming languages such as Python or MATLAB and provide mentorship or project-based work are highly valuable for skill development and career growth.

What are the most commonly searched types of Remote Applied Mathematics jobs in Boston, MA?

The most popular types of Remote Applied Mathematics jobs in Boston, MA are:

What are popular job titles related to Remote Applied Mathematics Intern jobs in Boston, MA?

For Remote Applied Mathematics Intern jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Applied Mathematics Intern jobs in Boston, MA look for?

The top searched job categories for Remote Applied Mathematics Intern jobs in Boston, MA are:

Remote Applied Mathematics Intern jobs near you
Infographic showing various Remote Applied Mathematics Intern job openings in Boston, MA as of August 2026, with employment types broken down into 48% Full Time, 27% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $38,497 per year, or $18.5 per hour.

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Re-posted 26 days ago

Job description

Help us bridge machine learning research and real-world deployment!

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.
We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new algorithms and implementing them in performant, maintainable, and scalable production systems. You'll also help build the ML infrastructure and tooling that accelerates future research, while ensuring our AI solutions are reliable enough for real-world deployment.

If you're technically curious, highly collaborative, and motivated by solving complex real-world problems, we'd love to talk.

What You'll Do

  • Partner with Data Scientists to transform research algorithms into robust, production-quality software.
  • Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
  • Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development.
  • Design and implement AI agents, agentic workflows, and LLM-powered applications.
  • Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
  • Collaborate across engineering and research teams to transition prototypes into production systems.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.'

This is NOT a fully remote position!

Required

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
  • Strong hands-on programming experience in C++ and Python.
  • 3-5 years of experience developing and deploying machine learning systems in production environments.
  • Experience building AI agents, LLM-based applications, or intelligent automation systems.
  • Strong problem-solving skills and ability to work across the full development lifecycle.
  • Excellent written and verbal communication and collaboration skills.

Someone Who Will Thrive in This Role

  • Enjoys solving difficult technical challenges that span algorithms, software, and deployment.
  • Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
  • Takes ownership and drives projects from concept through production.
  • Continuously explores new AI, ML, and agentic technologies.
  • Works effectively across multidisciplinary teams.
  • Balances research innovation with practical product delivery.
  • Builds side projects, experiments with emerging AI tools, or enjoys hands-on technical exploration.

Bonus Points

  • Experience with radar, RF sensing, sensor fusion, computer vision, robotics, or autonomous systems.
  • Experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks.
  • Experience optimizing models for edge deployment usingTensorRT, ONNX,OpenVINO, TVM, or similar tools.
  • Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration.
  • Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems.

At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world capability. This is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster.