Forward Deployed Engineer Intern (HR Technology)Active$46K–$183K

The opportunity

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.

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.

  • Currently pursuing a degree in Computer Science, Software Engineering, or a: related technical field, or equivalent hands-on engineering experience.

What they're looking for

  • 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-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.