Meta

Full-time and new-grad software engineering loops add a design interview (systems or product, depending on background) and a 45-minute behavioural round on top of the technical screen, per Meta's hiring-process page. For select roles Meta has formally enabled an authorized AI assistant in CoderPad during technical interviews – a published policy candidates should prepare around rather than discover live, since the role brief tells them whether their loop is AI-enabled.

Meta runs several distinct early-career tracks on its students and grads hub:

• Software engineering and product internships across the summer, with housing assistance for the duration of the program and a one-on-one mentor assigned from day one
• Rotational Product Manager (RPM) – an 18-month short-term employment program for candidates with under a year of PM experience, beginning with a product bootcamp and rotating through three product teams; based in Menlo Park, Seattle, and New York City; next-cohort applications expected to open Fall 2026
• Rotational Engineering – a 12-month program rotating through two engineering teams, with bases in Boston, Menlo Park, Seattle, New York, and London
• RAISE (Rotational AI Science & Engineering) – an 18-month rotation through FAIR and Applied AI teams for engineers pivoting into AI/ML
• PhD-track research internships, postdocs, and full-time research-scientist roles at Fundamental AI Research (FAIR), with placements in Menlo Park, Paris, and other research sites

The tracks are not interchangeable: RPM is a closed-cohort PM program with a single annual application window, while software engineering internships and FAIR research roles post and review continuously. A candidate weighing them is choosing between three different application calendars, not one, and each program's role profile is quite different.

Three things stand out from Meta's published positioning on its careers site:

• Multiple parallel rotational programs for early-career hires – Rotational Product Manager, Rotational Engineering, and RAISE – rather than a single new-grad track, each tied to a specific function and rotation length
• Direct PhD-track placements at Fundamental AI Research (FAIR), Meta's industrial AI research organisation, with named tracks for interns, postdocs, and full-time research scientists across multiple international sites
• A published policy permitting an authorized AI assistant inside CoderPad during select technical interviews, written into the hiring-process page and FAQ rather than left as informal guidance

For an applicant choosing between large-tech offers, the structural choice inside Meta is concrete: a FAIR placement weights toward publishable research, an RPM seat toward fast product-management rotation, and a Rotational Engineering year toward shipping production code across two teams.