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Evening Computer Science Jobs in Boston, MA (NOW HIRING)

InterSystems

Support Engineer III

Boston, MA · On-site

This will require you to work occasional weekend or evening hours. This additional time would be compensated. You need to have: * BS in Computer Science, Engineering or hard Science * Enthusiasm for ...

BeiGene, Inc.

Internal Auditor

Cambridge, MA · On-site

BA/BS Degree in Accounting, Finance, Engineering, Computer Science, Business Administration or ... Availability to meet during evening hours (not regularly, but periodically/from time to time) on ...

BeiGene USA

Internal Auditor

Cambridge, MA

BA/BS Degree in Accounting, Finance, Engineering, Computer Science, Business Administration or ... Availability to meet during evening hours (not regularly, but periodically/from time to time) on ...

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Evening Computer Science information

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How much do evening computer science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for evening computer science in Boston, MA is $90,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $101,600.00 per year, depending on experience, location, and employer.
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Evening Computer Science jobs near you

Research Scientist 3

Massachusetts Institute of Technology

Cambridge, MA • On-site

Full-time

Re-posted yesterday

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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