1

Applications Developer Intern Jobs in Allston, MA

IT Intern

Cambridge, MA · On-site

$22/hr

Core applications: Autodesk Revit, AutoCAD, Adobe Creative Cloud, and Microsoft 365 The candidate ... Engineers, System Planners and Interior Designer's at two office locations. This position is an ...

IT Intern

Cambridge, MA · On-site

$22/hr

Core applications: Autodesk Revit, AutoCAD, Adobe Creative Cloud, and Microsoft 365 The candidate ... Engineers, System Planners and Interior Designer's at two office locations. This position is an ...

Core applications: Autodesk Revit, AutoCAD, Adobe Creative Cloud, and Microsoft 365 The candidate ... Engineers, System Planners and Interior Designer's at two office locations. This position is an ...

RF Design Automation Co-Op

Andover, MA · On-site

$22.50 - $42/hr

Experience developing software tools, AI-assisted workflows, or database-driven applications that ... The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 ...

New

Mechanical Designer

Boston, MA · On-site

$77K - $85K/yr

... applications * Assist team project engineers and lead design engineers * Research design options ... Engineer Intern (EI) certification * Willingness to travel for short-term assignments * Excellent ...

... applications * Assist team project engineers and lead design engineers * Research design options ... Engineer Intern (EI) certification * Willingness to travel for short-term assignments * Excellent ...

Mechanical Designer

Boston, MA · On-site

$77K - $85K/yr

... applications * Assist team project engineers and lead design engineers * Research design options ... Engineer Intern (EI) certification * Willingness to travel for short-term assignments * Excellent ...

New

Parsons is now accepting applications for a Civil Engineering Co-op/Intern Student who's ready to work on major infrastructure projects in Boston (MA) and neighboring regions. We are looking for Fall ...

Showing results 41-60

Applications Developer Intern information

See Allston, MA salary details

$12

$24

$43

How much do applications developer intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for applications developer intern in Allston, MA is $24.98, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $26.49 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an applications developer intern, and why are they important?

To thrive as an Applications Developer Intern, you need a foundational understanding of programming languages (such as Java, Python, or C#), software development principles, and current enrollment in a computer science or related degree program. Familiarity with development environments (like Visual Studio or Eclipse), version control systems (such as Git), and basic database management is typically expected. Strong problem-solving skills, attention to detail, and effective communication help interns contribute to team projects and quickly learn new concepts. These skills and qualities are crucial for efficiently building, testing, and maintaining software while collaborating within a professional development team.

What does an applications developer intern do?

An Applications Developer Intern assists in designing, coding, testing, and maintaining software applications under the supervision of experienced developers. They typically work on specific tasks within a larger project, such as debugging code, writing small modules, or helping to improve user interfaces. Interns also learn about software development processes, tools, and methodologies, gaining valuable hands-on experience. This role is ideal for students or recent graduates looking to build practical skills and prepare for a career in software development.

How does an applications developer intern typically collaborate with other team members during a project?

As an Applications Developer Intern, you'll frequently collaborate with software engineers, quality assurance testers, and project managers. You'll participate in regular team meetings, contribute code reviews, and work closely with mentors who guide you through best practices. Communication is key, as you'll need to seek feedback, clarify requirements, and integrate your work with others’ contributions. This collaborative environment not only helps you learn quickly but also ensures the team's projects meet quality and timeline expectations.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 9 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)