Member of Technical Staff (New Grad)

About the role

This is the general application portal for university students and recent graduates seeking full‑time Member of Technical Staff positions at Perplexity. The Early Career Talent Program emphasizes breadth — new grads work across the stack, from agent harnesses to AI inference and training systems — and depth — entrusting individuals to become world experts in the problem domains they tackle. The program provides unparalleled mentorship, a strong network of mentors, and a track record of new grads advancing to senior, prolific roles. Recognition and compensation are set well above top tech companies and startups, and each contribution directly advances Perplexity’s mission to build frontier intelligence for the world’s most discerning users. Focus schools (U.S.): Caltech, Columbia, Cornell, CMU, Duke, Georgia Tech, Harvard, MIT, Michigan, Northwestern, NYU, Penn, Princeton, Purdue, Stanford, UC Berkeley, UChicago, UCLA, UIUC, UNC Chapel Hill, UT Austin, UWashington, Yale. Focus schools (Canada): McGill, UBC, UToronto, Waterloo. Note: applicants from focus schools should use the school‑specific portal; this portal is infrequently monitored for those schools.

Requirements

• If applying from a non‑focus school: GPA ≥ 3.92 averaged across all CS and Math courses.
• Grade of A or A+ in your school’s upper‑level algorithms course.
• Additional advanced coursework in systems, AI/ML, advanced math, or other rigorous subjects is highly welcome.
• If you do not meet the above criteria, you may still apply by providing evidence of exceptional ability in the “Anything Else” question on the application form.

Benefits

• Unparalleled mentorship and a close‑knit mentor network.
• Top‑of‑market compensation that rises well above that of leading tech companies and startups.
• Opportunity to work on some of the deepest, thorniest challenges in frontier intelligence.
• Recognition and aggressive rewards for growth in role.
• Chance to contribute directly to Perplexity’s mission of building AI for discerning users.