engineering.fb.comadded August 2026
Engineering at Metaby Arvind Srinivasan; Neil Spring; Omar Baldonado; Rajiv Krishnamurthy21h ago
- Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles.
Engineering at Metaby Rajiv Krishnamurthy; Wes Bland21h ago
- MTIA 300 is the first of Meta’s family of in-house training and inference accelerators optimized for training ranking and recommendation models.
Engineering at Metaby Chris Wiltz13d ago
WhatsApp is committed to helping people stay safe while protecting the privacy of their messages.
Engineering at Metaby Steven De Gryze; Parshva Doshi; Sean O'Byrne; Arnold Overwijk; Dinesh Ramasamy; Lee Xiong19d ago
Every day, Meta’s recommendation platforms handle billions of user interactions, generating rich temporal signals that capture individual preferences and intent across products, ads, and content.
Engineering at Metaby Yuhui Ouyang; Di Wang; Sreedal Menon; Jie Tian15 Jul 2026
- Hierarchical Interest Representation is a research area for Meta Ads. We’re exploring an upstream representation layer over the universe of Ads entities – users, advertisers, products, services –...
Engineering at Metaby Blaise Sanouillet; Sunyi Shao; Jeff Song; Gosh Arzumanyan; Shawn Wu; Tejun Heo; Praveen Sampath; GP Musumeci13 Jul 2026
TL; DR - At Meta’s scale, a few milliseconds of latency degradation can have a significant negative impact on ads performance.
Engineering at Metaby Sidharth Bajaj; Venkatraghavan Srinivasan1 Jul 2026
Over the past several years, model capabilities and training dataset sizes have experienced exponential growth.
Engineering at Metaby Rituraj Kirti; Vasileios Lakafosis25 Jun 2026
Privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to function.
Engineering at Metaby Pascal Hartig23 Jun 2026
Smart glasses like the Ray-Ban Meta and Oakley Meta Vanguards need to pack enough energy to power features like cameras, speakers, AI workloads, and even a display.
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