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Computer Science Summer Jobs in Cambridge, MA (NOW HIRING)

Engineering Intern - Summer 2027

Newton, MA

$18.25 - $23.75/hr

A Day in the Life Our summer internships are full-time (40 hours/week), paid positions lasting 10 ... Science & Engineering,Computer Engineering, or a related engineering discipline withan ...

A Day in the Life Our summer internships are full-time (40 hours/week), paid positions lasting 10 ... Science & Engineering,Computer Engineering, or a related engineering discipline withan ...

A Day in the Life Our summer internships are full-time (40 hours/week), paid positions lasting 10 ... Science & Engineering,Computer Engineering, or a related engineering discipline withan ...

Engineering Intern - Summer 2027

Newton, MA

$18.25 - $23.75/hr

A Day in the Life Our summer internships are full-time (40 hours/week), paid positions lasting 10 ... Science & Engineering,Computer Engineering, or a related engineering discipline withan ...

Engineering Intern - Summer 2027

Boston, MA

$18.25 - $23.75/hr

A Day in the Life Our summer internships are full-time (40 hours/week), paid positions lasting 10 ... Science & Engineering,Computer Engineering, or a related engineering discipline withan ...

Engineering Intern - Summer 2027

Boston, MA

$18.25 - $23.75/hr

A Day in the Life Our summer internships are full-time (40 hours/week), paid positions lasting 10 ... Science & Engineering,Computer Engineering, or a related engineering discipline withan ...

Showing results 41-60

Computer Science Summer information

See Cambridge, MA salary details

$16.1K

$53.3K

$110.6K

How much do computer science summer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for computer science summer in Cambridge, MA is $53,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,126.00 and $61,716.00 per year, depending on experience, location, and employer.

What to do over the summer as a computer science summer?

A computer science summer internship or program offers opportunities to gain practical experience, develop coding skills, and work on real-world projects. Participants can also pursue certifications, learn new programming languages, or contribute to open-source projects to enhance their resumes.

What are summer jobs in computer science?

Summer computer science jobs are for students, teachers, or academics who want to work in computer-related positions or undertake internships that provide experience in fields such as IT or software development. In these short term jobs, your duties depend on the needs of your employer. A computer science instructor can work with students of various ages to teach computer skills during summer school or a computer camp. As an intern, you might work on programming, computer engineering, or database administration tasks as part of an internship program. Academic professionals can work on research projects that have a programming component during the summertime.

What kinds of projects or tasks can I expect to work on during a computer science summer internship?

During a Computer Science Summer internship, you can expect to work on a variety of hands-on projects ranging from software development and debugging to data analysis and algorithm design. Interns often collaborate with experienced engineers, participate in code reviews, and may contribute to ongoing company initiatives or build prototypes for new features. The work environment is typically team-oriented, providing opportunities to learn from peers and mentors while gaining practical experience with real-world systems and tools. This exposure helps interns develop technical skills and gain insight into potential career paths within computer science.

What are computer science summer programs?

Computer Science Summer programs are short-term educational opportunities, usually held during the summer months, that allow students to explore computer science through hands-on projects, coursework, and workshops. These programs are often designed for high school or college students who want to gain practical experience in areas like programming, robotics, artificial intelligence, or cybersecurity. Participants may collaborate on group projects, attend lectures from industry professionals, and build a foundation for future studies or careers in technology. Programs can be found at universities, online, or through specialized organizations, and they often provide networking opportunities and exposure to the latest industry trends.

Are computer science summer majors still in demand?

Computer science summer majors are in high demand as employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and data structures. These internships and programs often lead to full-time roles in software development, cybersecurity, and data analysis, reflecting the ongoing need for technical expertise in the industry.

What are the key skills and qualifications needed to thrive as a computer science summer intern, and why are they important?

To thrive as a Computer Science Summer Intern, you typically need foundational knowledge in programming, data structures, and algorithms, often gained through coursework or a related degree program. Familiarity with languages like Python or Java, version control systems such as Git, and exposure to software development tools is common. Strong problem-solving skills, willingness to learn, and effective teamwork set outstanding interns apart. These abilities enable interns to contribute meaningfully to projects, adapt quickly, and integrate well with professional teams during their short tenure.
What are the most commonly searched types of Computer Science jobs in Cambridge, MA? The most popular types of Computer Science jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Computer Science Summer jobs? Cities near Cambridge, MA with the most Computer Science Summer job openings:
Infographic showing various Computer Science Summer job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $53,250 per year, or $25.6 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA โ€ข On-site

Full-time

Re-posted 5 days ago


Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)