Product Research Internship - Summer 2027

ABOUT THE TEAM

The Product Research team sits at the intersection of theoretical computer science, applied mathematics, statistics, machine learning, and software engineering. The team turns research and algorithms into practical product capabilities that help organizations use data safely and effectively.

As a Product Research Intern, you’ll work with research scientists and collaborate with software engineers and other teammates. You’ll help explore how ideas developed in a controlled research setting can be tested, adapted, and applied in the messy, real-world environments where customers use Immuta. The work is research-oriented: you’ll go deep on a problem, understand how an approach works, and help move it from an idea into something practical.

YOUR INTERNSHIP

At Immuta, interns are treated like members of the team. You’ll join the team’s regular workflow, contribute to real work, and take on responsibilities that reflect your skills and the team’s priorities.

The exact projects will depend on what the team is working on next summer, but you can expect to:

• Explore a set of potential research and product projects, then spend meaningful time developing one project related to the team’s work.
• Work with research scientists to investigate approaches that could support Immuta product capabilities.
• Translate mathematical, statistical, or computational ideas into prototypes, experiments, and functional software.
• Apply research methods to practical problems involving data privacy, security, governance, machine learning, algorithms, or text analytics.
• Evaluate approaches using data, experiments, measurements, and clear reasoning.
• Collaborate with researchers, engineers, product teammates, and others to understand how research can become useful product work.
• Communicate your process and findings through documentation, reports, presentations, and conversations with teammates.

TOOLS & TECHNOLOGIES

Depending on your role, you may work with:

• Python
• TypeScript
• SQL and databases
• Algorithms, statistics, and machine learning methods
• Text analytics and classification approaches
• APIs and application development workflows
• Data analysis, experimentation, and measurement
• AI-enabled tools and workflows used by your team

You do not need to know every tool listed above. We’re looking for a strong foundation, curiosity, and the ability to learn.

WHAT WE’RE LOOKING FOR

• A strong foundation in computer science, mathematics, statistics, machine learning, or another quantitative field.
• Experience with research, a substantial independent project, or working with a professor is a plus.
• Programming experience and interest in applying technical skills to data and research problems.
• Strong communication skills and the ability to explain your work clearly.
• Curiosity, initiative, and interest in turning research into practical solutions.