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Theoretical Computer Science Jobs in Brookline, MA

... 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 ...

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

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

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

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

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... Own computational theoretical chemistry programs across therapeutic modalities, disease targets ...

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... Own computational theoretical chemistry programs across therapeutic modalities, disease targets ...

... science, and software engineering to develop drugs for previously undruggable targets. Role ... Own computational theoretical chemistry programs across therapeutic modalities, disease targets ...

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Theoretical Computer Science information

See Brookline, MA salary details

$11.9K

$137K

$185K

How much do theoretical computer science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for theoretical computer science in Brookline, MA is $136,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $165,500.00 per year, depending on experience, location, and employer.

What is theoretical computer science?

Theoretical computer science is a branch of computer science that focuses on understanding the fundamental principles and mathematical foundations of computation. It includes areas such as algorithms, computational complexity, automata theory, and formal languages, often requiring strong mathematical and analytical skills. Professionals in this field analyze the limits of what computers can solve and develop models to improve computational efficiency.

What are the key skills and qualifications needed to thrive in the Theoretical Computer Science position, and why are they important?

To thrive in Theoretical Computer Science, a strong background in mathematics, algorithms, and computational theory is essential, usually backed by an advanced degree such as a master's or PhD in computer science or a related field. Familiarity with formal verification tools, mathematical modeling software, and programming languages like Python or C++ is often required. Critical thinking, analytical reasoning, and effective written communication are standout soft skills for this role. These competencies are vital for developing rigorous proofs, articulating complex concepts, and contributing meaningful insights to the field.

What is the highest paying job in computer science?

In computer science, roles such as machine learning engineer, data scientist, and software architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in algorithms, programming, and sometimes specialized certifications or experience with large-scale systems.

What are typical responsibilities for someone working in Theoretical Computer Science?

Theoretical Computer Science professionals often spend their days conducting original research, developing new algorithms, and analyzing computational problems from a mathematical perspective. They may collaborate closely with other researchers in interdisciplinary teams, attend academic conferences, and contribute to scholarly publications. While much of the work is individual and highly focused, regular interaction with collaborators and the broader academic community is common. This role can also involve mentoring students and engaging in peer review, making it both intellectually stimulating and highly collaborative.

What jobs can you do with theoretical computer science?

Theoretical computer science graduates can pursue roles such as research scientists, algorithm engineers, cryptographers, and data scientists. These positions often require strong analytical skills, knowledge of algorithms, and programming proficiency in languages like Python or C++, with opportunities in academia, industry, and government research labs.

Is computer science dead due to AI?

Theoretical computer science remains a fundamental field that underpins AI development, algorithms, and computational theory. AI advances create new research challenges and job opportunities for computer scientists skilled in areas like algorithms, machine learning, and data structures.

What is a Theoretical Computer Science job?

A Theoretical Computer Science job focuses on studying the fundamental principles of computation, algorithms, complexity, and mathematical models of computing. Professionals in this field work on problems related to computational efficiency, cryptography, machine learning theory, and formal methods. They often conduct research in academia, develop new algorithms, or contribute to cutting-edge technology in industry. These roles typically require strong mathematical skills and expertise in logic, discrete mathematics, and algorithm design.

What job categories do people searching Theoretical Computer Science jobs in Brookline, MA look for? The top searched job categories for Theoretical Computer Science jobs in Brookline, MA are:
Infographic showing various Theoretical Computer Science job openings in Brookline, MA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $136,983 per year, or $65.9 per hour.

Full-time

Re-posted 25 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 612 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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