Forward Deployed Engineer Intern (HR Technology)

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About the role

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. This is a 12-week internship during summer 2027. We're hiring a Forward Deployed Engineer Intern to join the HR Technology team within People Success for a 12-week summer 2027 internship. This team builds the internal applications, integrations, and AI-powered workflows that help Coinbase employees move faster. You'll own a scoped project from discovery through production, making technical decisions across the stack and shipping working software that automates manual HR processes and measurably improves the employee experience. What you'll do: Own a project end-to-end, from defining the problem and scope with HR stakeholders through designing, building, testing, and delivering production-ready software within the internship. Build custom applications, integrations, and AI-powered workflows that automate manual HR processes and improve the employee experience, taking solutions from prototype to production with appropriate quality checks and human oversight. Make technical decisions across data modeling, API integrations, application logic, and user interfaces, balancing speed, maintainability, and security. Partner directly with internal customers to understand their needs, map user journeys, and prioritize your roadmap based on expected impact. Measure results by defining success metrics, gathering user feedback, and using evidence like time saved, error reduction, and adoption rates to guide iterations and communicate outcomes. Required Skills and Experience: Currently pursuing a degree in Computer Science, Software Engineering, or a related technical field, or equivalent hands-on engineering experience. Demonstrated ability to build, test, debug, and ship software (applications, API integrations, or automation tools) through academic projects, hackathons, or prior internships, with the ability to explain the technical choices behind your work. Hands-on experience building AI-powered prototypes or workflows using tools such as large language models, including validating generated outputs, protecting sensitive information, and recognizing when human review is needed. Proven ability to take a scoped project through delivery by breaking ambiguous needs into achievable milestones, communicating trade-offs to technical and nontechnical partners, and delivering against a deadline. Utilizes generative AI responsibly, maintaining human oversight to deliver business-re...

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