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Night Shift Theoretical Computer Science Jobs (NOW HIRING)

Design, develop, deploy, and sustain solutions to complex cryptologic computer science problems. * Apply expertise in areas such as operating systems, algorithms, compiler theory, computer ...

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Night Shift Theoretical Computer Science information

What is the difference between Night Shift Theoretical Computer Science vs Night Shift Software Developer?

AspectNight Shift Theoretical Computer ScienceNight Shift Software Developer
Required CredentialsAdvanced degrees in computer science or related fields, research experienceBachelor's or master's in computer science or software engineering
Work EnvironmentResearch labs, academic institutions, or R&D departmentsTech companies, software firms, or IT departments
Industry UsageAcademic research, theoretical development, algorithm analysisApplication development, coding, system implementation
Common Search/ComparisonFocuses on theoretical aspects and research rolesPractical coding and software creation roles

Night Shift Theoretical Computer Science primarily involves research, algorithm analysis, and academic work, often requiring advanced degrees. In contrast, Night Shift Software Developer focuses on coding, application development, and practical implementation, typically with a bachelor's or master's degree. Both roles may work night shifts but serve different industry needs and skill sets.

What cities are hiring for Night Shift Theoretical Computer Science jobs? Cities with the most Night Shift Theoretical Computer Science job openings:
What states have the most Night Shift Theoretical Computer Science jobs? States with the most job openings for Night Shift Theoretical Computer Science jobs include:
Research Scientist 3

Full-time

Posted 5 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

32nd of 535 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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