Visiting Faculty, AI and Systems Co-design Team at Meta
$88–$257,000from the description
Jul 29, 2026
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Jul 29, 2026
What this job asks for AI summary
A visiting faculty research role embedded within Meta's AI and Systems Co-design team, focused on conducting and publishing pathfinding research spanning AI hardware, software, and algorithms. The position is intended for tenure-track or tenured academics who will bring external research perspectives into Meta, mentor teammates, and help shape the company's AI strategy — while maintaining their academic affiliation.
Senior level · Bachelor's required · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (6)
This is a 'Visiting Faculty' role — it is explicitly designed for tenure-track or tenured academics maintaining an external affiliation, not a standard full-time hire. The employment type and work arrangement may differ significantly from a typical industry position.
The compensation range is unusually structured: '$88.46/hour to $257,000/year' mixes two different periods. This appears to reflect different engagement modes (e.g., part-time/hourly vs. full-time/salaried). Both figures are reported as stated; the period is marked Unspecified because no single basis applies to the full range.
No work location is specified in the posting. Meta's headquarters is in Menlo Park, CA, but visiting faculty arrangements may vary; CBSA is left blank.
SOC classification is uncertain. The role is a research position spanning AI hardware, software, and algorithms — it does not map cleanly to a single BLS occupation. 15-2051 (Data Scientists) is used as the closest available code for an AI/ML research role; 15-1299 (Computer Occupations, All Other) is a plausible alternative given the cross-disciplinary nature.
The required publication record and tenure-track faculty status are hard gates stated under Minimum Qualifications, but they are academic credentials rather than named technologies — they are not emitted as skills per extraction rules.
ML Systems/Compiler, AI Accelerator, and Distributed Systems experience appear only under Preferred Qualifications and are marked accordingly.
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