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Helper Theoretical Computer Science Jobs (NOW HIRING)

Leidos

Cryptologic Computer Scientist

Odenton, MD · On-site

$107K - $195K/yr

... science problems. * Apply expertise in areas such as operating systems, algorithms, compiler theory ... For us, helping you grow your career is good business. We look forward to learning more about you ...

Leidos

Cryptologic Computer Scientist

Odenton, MD · On-site

$107K - $195K/yr

... science problems. * Apply expertise in areas such as operating systems, algorithms, compiler theory ... For us, helping you grow your career is good business. We look forward to learning more about you ...

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As of Aug 21, 2026, the average hourly pay for helper theoretical computer science in the United States is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.27 per hour, depending on experience, location, and employer.

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Infographic showing various Helper Theoretical Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $37,856 per year, or $18.2 per hour.

Research Scientist 3

Massachusetts Institute of Technology

Cambridge, MA • On-site

Full-time

Re-posted 18 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

45th of 620 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 provides higher education, academic research, digital learning, and technology licensing programs. 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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