Engineering at Meta ✓

@Meta_Engineers · joined 25 Aug 2009

Engineering at Meta is a technical news resource for engineers interested in how we solve large-scale technical challenges at Meta.

214 574Followers

197Following

1 280Posts total

8.8MViews on collected posts

Últimas publicaciones

Engineering at Meta ✓@Meta_Engineers1 Sep

Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles. To meet this challenge at scale, we designed MetaRoCE: a clean-sheet RDMA transport protocol purpose-built for AI workloads on commodity https:/ 7.4K views · 85 likes · 9 reposts · 2 replies Open on X →

Engineering at Meta ✓@Meta_Engineers31 Aug

By now you’re already familiar with MTIA, our family of in-house training and inference accelerators. Today, we’re sharing a deep dive into MTIA 300, the first MTIA chip optimized for training ranking and recommendation models. MTIA 300’s built-in NIC chiplets allow it to meet h 11.4K views · 168 likes · 16 reposts · 4 replies Open on X →

Engineering at Meta ✓@Meta_Engineers6 Aug

The convergence of sequence modeling and recommendation systems has opened new frontiers in artificial intelligence. 🚀 Our new multi-layer sequence learning architecture demonstrates LLM-like scaling law, while delivering performance in latency-sensitive ads ranking models. http 8.2K views · 129 likes · 12 reposts · 16 replies Open on X →

Engineering at Meta ✓@Meta_Engineers4 Aug

Meta’s Generative Ads Recommendation Model (GEM), the engine behind ads on Instagram and Facebook, is now training at LLM scale across thousands of the latest-gen GPUs. Because standard LLM infrastructure doesn't natively fit recommendation workloads, we co-designed custom https 26.5K views · 250 likes · 37 reposts · 14 replies Open on X →

Engineering at Meta ✓@Meta_Engineers23 Jul

When a Linux kernel upgrade risked regressing our ads fleet, we turned to sched_ext — an open-source scheduler that ships updates in days, not months. The result: 28% lower tail latency, 3.28 MW saved, and a 1.1% increase in the number of ads ranked. Now it's upstream in Linux 14.1K views · 198 likes · 19 reposts · 8 replies Open on X →

Engineering at Meta ✓@Meta_Engineers20 Apr

@Meta_Engineers This job is via contractors and only pays $20-25/hr. Insulting. A barista earns more serving Starbucks slop. 42.3K views · 307 likes · 7 reposts · 21 replies Open on X →

Engineering at Meta ✓@Meta_Engineers20 Apr

@Meta_Engineers How I’m going to look when I show up first day and accidentally shutdown the whole East coast data center on accident https://t.co/KZTkVH6SCi 173.4K views · 3.6K likes · 77 reposts · 13 replies Open on X →

Engineering at Meta ✓@Meta_Engineers20 Apr

@Meta_Engineers "Through our contractor network" means you won't work at Meta & won't be getting Meta pay 😂 65.3K views · 599 likes · 2 reposts · 15 replies Open on X →

Engineering at Meta ✓@Meta_Engineers20 Apr

Today we're announcing LevelUp: a free, four-week training program that takes people with no prior experience and prepares them to work as fiber technicians on data center construction sites across the US. We built this program with CBRE because the fiber technician field, and h 8.4M views · 14.5K likes · 1.5K reposts · 358 replies Open on X →

Frente a cuentas del mismo tamaño

4 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega mucho más allá de su propia audiencia, y esa audiencia responde.

Visualizaciones medianas9 832esta cuenta5 983mediana de 100K–1M

Alcance, %4.58%esta cuenta1.49%mediana de 100K–1M

Interacción, %1.48%esta cuenta0.93%mediana de 100K–1M

Métrica	Esta cuenta	Mediana de 100K–1M	Proporción
Visualizaciones medianas por publicación	9 832	5 983	1.64×
Alcance (visualizaciones ÷ seguidores)	4.58%	1.49%	3.08×
Tasa de interacción	1.48%	0.93%	1.59×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

8.4M20 Apr

65.3K

173.4K

42.3K

14.1K23 Jul

26.5K4 Aug

8.2K6 Aug

11.4K31 Aug

7.4K1 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.20%20 Apr

0.94%

2.11%

0.79%

1.61%23 Jul

1.16%4 Aug

1.93%6 Aug

1.64%31 Aug

1.31%1 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes50.8%19 755 in total

Reposts4.2%1 646 in total

Replies1.2%451 in total

Quotes1.4%546 in total

Bookmarks42.4%16 482 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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