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Liberty Mutual Insurance

Solaria Labs Software Development Co-op (Jan - June 2027)

Boston, MA,US, US

Liberty Mutual Insurance is hiring a Solaria Labs Software Development Co-op (Jan - June 2027) in Boston, MA,US, US. Posted September 15, 2026.

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Job at a glance

Company
Liberty Mutual Insurance
Location
Boston, MA,US, US
Workplace
On-site
Employment
Full-time
Sector
Engineering & Technology
Posted
September 15, 2026
Apply by
March 14, 2027

About the job

Design and implement software solutions as part of an agile development team, contributing to both prototypes and production-ready applications. Engage in both heads-down coding and active participation in ideation and product design within a collaborative innovation lab environment. Work directly with cross-functional partners, including business, marketing, and UX teams, to support day-to-day product decision-making. Build and iterate on software prototypes with a start-up mindset, focusing on experimentation and rapid learning cycles. Explore and contribute in areas such as custom algorithm development, data analysis, building engaging user interfaces, and experimenting with emerging technologies. Participate in innovation-focused activities such as hackathons, meetups, and technical learning opportunities. What You've Got You must be able to work full-time from January - June 2027. Working toward a degree in Computer Science, Computer Engineering, Information Systems, Informatics, MIS, IT, Mathematics, or another related technical field, with a strong academic record with a cumulative 3.0 GPA preferred. Proficient knowledge of software engineering languages such as JavaScript (React, Node.js, TypeScript), Python, Java, with the ability to develop across platforms. You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEM OPT who will require future sponsorship, are not eligible to apply. Exposure to AI/ML concepts through coursework, projects or hands-on experience is a preferred.