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Theoretical Computer Science Internship Jobs in Massachusetts

MIT Human Resources

Research Scientist 3

Cambridge, MA · On-site

... theoretical computer science, machine learning, use of machine learning for enhancing mathematical discovery and formal verification; help set the project's research direction, lead several of the ...

Varsity Tutors

College Computer Science Tutor

Lynn, MA · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Lowell, MA · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Quincy, MA · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Waltham, MA · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

1910

Computational Theoretical Chemist I

Boston, MA

... science, and software engineering to develop drugs for previously undruggable targets. Role ... Relevant industry experience via internship and co-op * Publication records in computational ...

1910

Computational Theoretical Chemist I

Boston, MA · On-site

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... Relevant industry experience via internship and co-op * Publication records in computational ...

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Theoretical Computer Science Internship information

What types of projects do interns typically work on during a Theoretical Computer Science Internship?

During a Theoretical Computer Science Internship, interns often work on projects involving algorithm design, computational complexity, graph theory, or cryptography. These projects may include analyzing and improving existing algorithms, developing proofs of concept, or researching open problems under the guidance of senior researchers. Interns usually collaborate closely with other interns and full-time researchers, participate in regular group meetings, and are encouraged to present their findings. The work is generally research-oriented and may involve reading academic papers, writing reports, and sometimes contributing to publications.

What are the key skills and qualifications needed to thrive as a Theoretical Computer Science Intern, and why are they important?

To thrive as a Theoretical Computer Science Intern, you need a strong background in mathematics, algorithms, and discrete structures, often supported by coursework in computer science or mathematics. Familiarity with programming languages (such as Python or C++), LaTeX for documentation, and version control systems like Git is typically expected. Analytical thinking, problem-solving, and effective written communication are standout soft skills for this role. These skills are crucial for tackling complex theoretical problems, collaborating on research, and clearly presenting findings in both academic and professional environments.

What is a Theoretical Computer Science Internship?

A Theoretical Computer Science Internship is a temporary position, typically for students or recent graduates, focused on research and problem-solving within the foundational areas of computer science. Interns in this role explore topics such as algorithms, computational complexity, cryptography, and formal methods. They often work on mathematical proofs, theoretical models, or simulations under the guidance of experienced researchers or faculty. The internship provides valuable experience in academic research, logical reasoning, and advanced problem-solving, preparing participants for further study or research-oriented careers.

What is the difference between Theoretical Computer Science Internship vs Data Science Internship?

AspectTheoretical Computer Science InternshipData Science Internship
Required CredentialsTypically requires computer science or related degrees, strong math backgroundRequires statistics, programming, and data analysis skills
Work EnvironmentResearch labs, academic settings, tech companies focusing on algorithms and theoryBusiness, tech companies, analytics firms working on data modeling and insights
Industry UsageAcademic research, R&D departments, tech industryBusiness analytics, marketing, finance, tech industry

Theoretical Computer Science Internships focus on algorithm development, computational theory, and mathematical foundations, often in research or academic settings. Data Science Internships emphasize data analysis, machine learning, and practical application of statistical methods in business or tech environments. While both require strong programming skills, their core focus and industry applications differ significantly.

What are popular job titles related to Theoretical Computer Science Internship jobs in Massachusetts? For Theoretical Computer Science Internship jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Theoretical Computer Science Internship jobs in Massachusetts look for? The top searched job categories for Theoretical Computer Science Internship jobs in Massachusetts are:
What cities in Massachusetts are hiring for Theoretical Computer Science Internship jobs? Cities in Massachusetts with the most Theoretical Computer Science Internship job openings:
Theoretical Computer Science Internship jobs near you
Infographic showing various Theoretical Computer Science Internship job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Research Scientist 3

Massachusetts Institute of Technology

Cambridge, MA • On-site

Full-time

Re-posted 27 days ago

Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

47th of 614 rated colleges and universities

Job description

Job Summary:
Massachusetts Institute of Technology is seeking a Research Scientist 3 to lead a research program on Provable AI Safety through Self-Proving Models. The role involves advancing AI safety research by building theoretical foundations and practical implementations of AI systems, supervising PhD students, and publishing research findings.
Responsibilities:
• lead a research program on Provable AI Safety through Self-Proving Models
• advance AI safety research by building both the theoretical foundations and the practical implementation of AI systems that prove the correctness of their own outputs
• serve as a key member of a research team spanning theoretical computer science, machine learning, use of machine learning for enhancing mathematical discovery and formal verification
• help set the project's research direction
• lead several of the program's parallel research tracks
• supervise PhD students
• publish their research and work
Qualifications:
Required:
• Ph.D. in Computer Science, Mathematics, or a closely related field
• a track record of independent research contributions in theoretical computer science, machine learning, and/or formal verification, including foundational work on the Self-Proving Models framework that underlies this program
• demonstrated expertise in interactive proof systems, computational complexity, and machine learning techniques applied to language models
• excellent leadership experience and project management skills
• strong supervisory skills and experience mentoring graduate students across theoretical and applied work
• experience leading or contributing to cross-institutional research collaborations
• outstanding interpersonal and relationship management skills to relate to a wide diversity of faculty, staff, students, and external stakeholders, including funders and policy audiences
• ability to handle confidential information and sponsored research compliance matters with discretion and judgment
• proven written and verbal communication and presentation skills, including the ability to publish in top-tier venues in theoretical computer science, machine learning, and AI safety, and to present research to both technical and policy audiences
• flexibility and availability to attend occasional evening, weekend, and international meetings, including with UK and European collaborators, and to travel for conferences and collaboration visits as the program requires
Company:
Massachusetts Institute of Technology is a research university that conducts research and offers educational courses. Founded in 1861, the company is headquartered in Cambridge, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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