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Visiting Faculty, AI and Systems Co-design Team

Meta - Menlo Park, CA

Posted Jun 7, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 7, 2026
Salary
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401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$66,396 U.S. median for this role
Projected growth (BLS Employment Projections)
+3.5% - Average

Matched to SOC 27-1024 - Design aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Design From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Visiting Faculty, AI and Systems Co-design Team Menlo Park, CA Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving towards AI to help build the next evolution in social technology. As a researcher in AI hardware, software, and algorithms you will help shape Meta's AI strategy. Responsibilities: - Conduct research across AI hardware, software, and algorithms - Find opportunities for pathfinding research on AI hardware, software, and algorithms through working with the team, and more broadly, with Meta - Share the results within Meta and publish them externally - Bring the latest ideas to Meta, e.g., through inviting leading researchers to communicate their work at Meta, through sharing advances in the field through internal presentations and notes - Guide teammates on pathfinding Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Tenure-track/tenured faculty in CS or related fields, with a demonstrated publication record - Track record of publications reflecting expertise in theoretical and/or empirical research - Relevant research experience working on AI hardware, software, and algorithms - Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Preferred qualifications: - Proven track record of achieving significant results as demonstrated by publications

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