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Instagram Explore recommendations system", "url": "https://engineering.fb.com/2023/08/09/ml-applications/scaling-instagram-explore-recommendations-system/", "published_at": "2023-08-09T16:00:52+00:00" }, { "id": "01a0da3a-8138-71c8-bc1d-3d401956026e", "title": "Fixit 2: Meta’s Next-Generation Auto-Fixing Linter", "url": "https://engineering.fb.com/2023/08/07/developer-tools/fixit-2-linter-meta/", "published_at": "2023-08-07T12:00:00+00:00" }, { "id": "01a0c54d-106c-7302-be37-a2ae5a0c85b3", "title": "MSVP is Meta’s first video processing ASIC", "url": "https://ai.facebook.com/blog/meta-scalable-video-processor-MSVP", "published_at": "2023-05-18T18:39:38+00:00" }, { "id": "01a0c525-d410-7214-990f-b4eb0bdc324a", "title": "Meta introduces its first-generation AI inference accelerator", "url": "https://ai.facebook.com/blog/meta-training-inference-accelerator-AI-MTIA", "published_at": "2023-05-18T18:39:30+00:00" }, { "id": "01a0b849-4a7d-722f-ae9c-fbd0703b97ef", "title": "Build faster with Buck2: Our open source build system", "url": "https://engineering.fb.com/2023/04/06/open-source/buck2-open-source-large-scale-build-system/", "published_at": "2023-04-06T01:00:00+00:00" }, { "id": "01a0c555-8314-7097-ad7b-5fdd45668af5", "title": "Improving Instagram notification management with machine learning and causal inference", "url": "https://engineering.fb.com/2022/10/31/ml-applications/instagram-notification-management-machine-learning/", "published_at": "2022-10-31T16:30:38+00:00" }, { "id": "01a0c555-8314-7097-ad7b-5fdd45c7f053", "title": "Scaling data ingestion for machine learning training at Meta", "url": "https://engineering.fb.com/2022/09/19/ml-applications/data-ingestion-machine-learning-training-meta/", "published_at": "2022-09-19T16:00:23+00:00" }, { "id": "01a0c525-d410-7214-990f-b4eb0cd444ab", "title": "Applying federated learning to protect data on mobile devices", "url": "https://engineering.fb.com/2022/06/14/production-engineering/federated-learning-differential-privacy/", "published_at": "2022-06-14T16:00:24+00:00" }, { "id": "01a0c555-8314-7097-ad7b-5fdd468ac199", "title": "VESPA: Static profiling for binary optimization", "url": "https://engineering.fb.com/2022/03/15/developer-tools/vespa/", "published_at": "2022-03-15T16:00:58+00:00" }, { "id": "01a0c525-d410-7214-990f-b4eb0d8aceb6", "title": "Fully Sharded Data Parallel: faster AI training with fewer GPUs", "url": "https://engineering.fb.com/2021/07/15/open-source/fsdp/", "published_at": "2021-07-15T16:00:47+00:00" }, { "id": "01a0c555-8314-7097-ad7b-5fdd47bd21f4", "title": "Asicmon: A platform agnostic observability system for AI accelerators", "url": "https://engineering.fb.com/2021/06/28/data-center-engineering/asicmon/", "published_at": "2021-06-28T16:00:24+00:00" }, { "id": "01a0c555-8314-7097-ad7b-5fdd488c81e5", "title": "How Facebook encodes your videos", "url": "https://engineering.fb.com/2021/04/05/video-engineering/how-facebook-encodes-your-videos/", "published_at": "2021-04-05T16:00:08+00:00" }, { "id": "01a0c555-8314-7097-ad7b-5fdd49896ffc", "title": "How machine learning powers Facebook’s News Feed ranking algorithm", "url": "https://engineering.fb.com/2021/01/26/ml-applications/news-feed-ranking/", "published_at": "2021-01-26T17:00:11+00:00" }, { "id": "01a0c55d-dc04-7067-9142-92fdff5340b3", "title": "On the value of diversified recommendations", "url": "https://engineering.fb.com/2020/12/17/ml-applications/diversified-recommendations/", "published_at": "2020-12-17T17:00:46+00:00" }, { "id": "01a0c55d-dc04-7067-9142-92fdff7f3bd8", "title": "How Facebook keeps its large-scale infrastructure hardware up and running", "url": "https://engineering.fb.com/2020/12/09/data-center-engineering/how-facebook-keeps-its-large-scale-infrastructure-hardware-up-and-running/", "published_at": "2020-12-09T17:00:28+00:00" }, { "id": "01a0c55d-dc04-7067-9142-92fe00358b0e", "title": "PPL Bench: Creating a standard for benchmarking probabilistic programming languages", "url": "https://ai.facebook.com/blog/ppl-bench-creating-a-standard-for-benchmarking-probabilistic-programming-languages/", "published_at": "2020-10-22T16:23:46+00:00" }, { "id": "01a0c55d-dc04-7067-9142-92fe0055102a", "title": "Mark Harman elected Fellow of the Royal Academy of Engineering", "url": "https://engineering.fb.com/2020/09/21/developer-tools/mark-harman-fellow/", "published_at": "2020-09-21T23:00:27+00:00" }, { "id": "01a0c55d-dc04-7067-9142-92fe01341e5c", "title": "Scalable data classification for security and privacy", "url": "https://engineering.fb.com/2020/07/21/security/data-classification-system/", "published_at": "2020-07-21T17:07:30+00:00" }, { "id": "01a0e27c-76d1-70f5-9365-ddb077a97607", "title": "Building 2Africa, a transformative subsea cable to better connect Africa", "url": "https://engineering.fb.com/connectivity/2africa/", "published_at": "2020-05-18T11:33:02+00:00" }, { "id": "01a0c55d-dc04-7067-9142-92fe01f19399", "title": "Fighting Abuse @Scale 2019 recap", "url": "https://engineering.fb.com/2019/12/13/security/fighting-abuse-scale-2019/", "published_at": "2019-12-13T16:00:27+00:00" }, { "id": "01a0c55d-dc04-7067-9142-92fe02a984f6", "title": "CCSM: Scalable statistical anomaly detection to resolve app crashes faster", "url": "https://engineering.fb.com/2019/11/26/developer-tools/ccsm/", "published_at": "2019-11-26T17:13:09+00:00" }, { "id": "01a0c55d-dc04-7067-9142-92fe031a443e", "title": "Fast dimensional analysis for root cause analysis at scale", "url": "https://engineering.fb.com/2019/11/08/developer-tools/fast-dimensional-analysis/", "published_at": "2019-11-08T19:13:45+00:00" }, { "id": "01a0c525-d410-7214-990f-b4eb0dc5f69c", "title": "2019 @Scale Conference recap", "url": "https://engineering.fb.com/2019/10/25/ai-research/2019-scale-conference/", "published_at": "2019-10-25T21:17:22+00:00" }, { "id": "01a0c525-d410-7214-990f-b4eb0dde9227", "title": "Video @Scale 2019 recap", "url": "https://engineering.fb.com/2019/10/17/video-engineering/video-scale-2019/", "published_at": "2019-10-17T13:00:33+00:00" }, { "id": "01a0c566-3ecc-72d3-8e78-e15edcf96fce", "title": "Releasing a new benchmark and data set for evaluating neural code search models", "url": "https://ai.facebook.com/blog/neural-code-search-evaluation-dataset/", "published_at": "2019-10-03T18:19:25+00:00" }, { "id": "01a0c525-d410-7214-990f-b4eb0e4c3589", "title": "Hydra: A framework that simplifies development of complex applications", "url": "https://engineering.fb.com/2019/10/03/open-source/hydra/", "published_at": "2019-10-03T16:05:09+00:00" }, { "id": "01a0c566-3ecc-72d3-8e78-e15ede16739a", "title": "MaRS: How Facebook keeps maps current and accurate", "url": "https://engineering.fb.com/2019/09/30/ml-applications/mars/", "published_at": "2019-09-30T12:00:41+00:00" }, { "id": "01a0c566-3ecc-72d3-8e78-e15ede6f1575", "title": "Integrating autoconversion: Facebook’s path from Zawgyi to Unicode", "url": "https://engineering.fb.com/2019/09/26/android/unicode-font-converter/", "published_at": "2019-09-27T01:30:19+00:00" }, { "id": "01a0c525-d410-7214-990f-b4eb0f39b832", "title": "Register now for @Scale 2019!", "url": "https://engineering.fb.com/2019/09/17/data-infrastructure/scale-2019/", "published_at": "2019-09-17T22:06:33+00:00" }, { "id": "01a0c531-31bb-7258-afad-3f28e4678eb2", "title": "Creating a data set and a challenge for deepfakes", "url": "https://ai.facebook.com/blog/deepfake-detection-challenge/", "published_at": "2019-09-05T19:43:33+00:00" }, { "id": "01a0c531-31bb-7258-afad-3f28e4b58fb0", "title": "New advances in natural language processing", "url": "https://ai.facebook.com/blog/new-advances-in-natural-language-processing-to-better-connect-people/", "published_at": "2019-08-14T16:00:41+00:00" }, { "id": "01a0c531-31bb-7258-afad-3f28e540785b", "title": "A new model for word embeddings that are resilient to misspellings", "url": "https://ai.facebook.com/blog/-a-new-model-for-word-embeddings-that-are-resilient-to-misspellings-/", "published_at": "2019-08-09T22:29:08+00:00" }, { "id": "01a0c531-31bb-7258-afad-3f28e59f5796", "title": "Michael F. Cohen awarded 2019 Steven A. Coons award", "url": "https://research.fb.com/blog/2019/07/qa-with-director-of-computational-photography-michael-f-cohen/", "published_at": "2019-07-30T21:58:49+00:00" }, { "id": "01a0c531-31bb-7258-afad-3f28e5b7ba46", "title": "EGG: A toolkit for multi-agent language emergence simulations", "url": "https://engineering.fb.com/2019/07/30/ai-research/egg-toolkit/", "published_at": "2019-07-30T13:49:56+00:00" }, { "id": "01a0c531-31bb-7258-afad-3f28e5d4370b", "title": "Mapping roads through deep learning and weakly supervised training", "url": "https://ai.facebook.com/blog/mapping-roads-through-deep-learning-and-weakly-supervised-training/", "published_at": "2019-07-24T19:23:15+00:00" }, { "id": "01a0c531-31bb-7258-afad-3f28e662ee1f", "title": "Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker", "url": "https://ai.facebook.com/blog/pluribus-first-ai-to-beat-pros-in-6-player-poker/", "published_at": "2019-07-11T19:59:45+00:00" } ] posts Claim your blog

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Engineering at Meta

engineering.fb.com

2025

Mobile GraphQL at Meta in 2025 original ↗

31 Mar 2025

Building multimodal AI for Ray-Ban Meta glasses original ↗

4 Mar 2025

A case for QLC SSDs in the data center original ↗

4 Mar 2025

How Meta is translating its Java codebase to Kotlin original ↗

25 Feb 2025

Protecting user data through source code analysis at scale original ↗

18 Feb 2025

Unlocking global AI potential with next-generation subsea infrastructure original ↗

14 Feb 2025

Looking back at our Bug Bounty program in 2024 original ↗

13 Feb 2025

Revolutionizing software testing: Introducing LLM-powered bug catchers original ↗

5 Feb 2025

Data logs: The latest evolution in Meta’s access tools original ↗

4 Feb 2025

How Precision Time Protocol handles leap seconds original ↗

3 Feb 2025

Bringing Jetpack Compose to Instagram for Android original ↗

24 Jan 2025

How Meta discovers data flows via lineage at scale original ↗

23 Jan 2025

Strobelight: A profiling service built on open source technology original ↗

21 Jan 2025

Measuring productivity impact with Diff Authoring Time original ↗

16 Jan 2025

ILA Evo: Meta’s journey to reimagine fiber optic in-line amplifier sites original ↗

10 Jan 2025

2024

Indexing code at scale with Glean original ↗

19 Dec 2024

Translating Java to Kotlin at Scale original ↗

18 Dec 2024

How we think about Threads’ iOS performance original ↗

18 Dec 2024

How to build a mixed reality headset original ↗

12 Dec 2024

Inside Facebook’s video delivery system original ↗

10 Dec 2024

Typed Python in 2024: Well adopted, yet usability challenges persist original ↗

9 Dec 2024

Powering AI innovation by acccelerating the next wave of nuclear original ↗

3 Dec 2024

Meta Andromeda: Supercharging Advantage+ automation with the next-gen personalized ads retrieval engine original ↗

2 Dec 2024

Sequence learning: A paradigm shift for personalized ads recommendations original ↗

19 Nov 2024

How Meta built large-scale cryptographic monitoring original ↗

12 Nov 2024

Diff Authoring Time: Measuring developer productivity at Meta original ↗

25 Oct 2024

IPLS: Privacy-preserving storage for your WhatsApp contacts original ↗

22 Oct 2024

OCP Summit 2024: The open future of networking hardware for AI original ↗

15 Oct 2024

Meta’s open AI hardware vision original ↗

15 Oct 2024

How open source AI can improve population estimates, sustainable energy, and the delivery of climate change interventions original ↗

3 Oct 2024

React at Meta Connect 2024 original ↗

2 Oct 2024

Inside Bento: Jupyter Notebooks at Meta original ↗

17 Sept 2024

Simulator-based reinforcement learning for data center cooling optimization original ↗

10 Sept 2024

Read Meta’s 2024 Sustainability Report original ↗

4 Sept 2024

Meta is getting ready for post-quantum cryptography original ↗

28 Aug 2024

How Meta enforces purpose limitation via Privacy Aware Infrastructure at scale original ↗

27 Aug 2024

How PyTorch powers AI training and inference original ↗

23 Aug 2024

Inside the hardware and co-design of MTIA original ↗

22 Aug 2024

Bringing Llama 3 to life original ↗

21 Aug 2024

Aparna Ramani discusses the future of AI infrastructure original ↗

20 Aug 2024

How Meta animates AI-generated images at scale original ↗

14 Aug 2024

RoCE networks for distributed AI training at scale original ↗

5 Aug 2024

Meet Caddy – Meta’s next-gen mixed reality CAD software original ↗

18 Jul 2024

AI Lab: The secrets to keeping machine learning engineers moving fast original ↗

16 Jul 2024

Taming the tail utilization of ads inference at Meta scale original ↗

10 Jul 2024

Meta’s approach to machine learning prediction robustness original ↗

10 Jul 2024

Leveraging AI for efficient incident response original ↗

24 Jun 2024

Maintaining large-scale AI capacity at Meta original ↗

12 Jun 2024

Building new custom silicon for Meta’s AI workloads original ↗

11 Apr 2024

Introducing the next-gen Meta Training and Inference Accelerator original ↗

10 Apr 2024

Optimizing RTC bandwidth estimation with machine learning original ↗

20 Mar 2024

Logarithm: A logging engine for AI training workflows and services original ↗

18 Mar 2024

Building Meta’s GenAI Infrastructure original ↗

12 Mar 2024

Improving machine learning iteration speed with faster application build and packaging original ↗

29 Jan 2024

Lazy is the new fast: How Lazy Imports and Cinder accelerate machine learning at Meta original ↗

18 Jan 2024

How Meta is advancing GenAI original ↗

11 Jan 2024

2023

AI debugging at Meta with HawkEye original ↗

19 Dec 2023

Watch: Meta’s engineers on building network infrastructure for AI original ↗

15 Nov 2023

Meta Tech Podcast #57 - Writing and Linting Python at Scale original ↗

30 Oct 2023

How Meta is creating custom silicon for AI original ↗

18 Oct 2023

Using Chakra execution traces for benchmarking and network performance optimization original ↗

7 Sept 2023

Arcadia: An end-to-end AI system performance simulator original ↗

7 Sept 2023

Code Llama: Meta’s state-of-the-art LLM for coding original ↗

24 Aug 2023

Meta Connect 2023: September 27 – 28 original ↗

14 Aug 2023

Scaling the Instagram Explore recommendations system original ↗

9 Aug 2023

Fixit 2: Meta’s Next-Generation Auto-Fixing Linter original ↗

7 Aug 2023

MSVP is Meta’s first video processing ASIC original ↗

18 May 2023

Meta introduces its first-generation AI inference accelerator original ↗

18 May 2023

Build faster with Buck2: Our open source build system original ↗

6 Apr 2023

2022

Improving Instagram notification management with machine learning and causal inference original ↗

31 Oct 2022

Scaling data ingestion for machine learning training at Meta original ↗

19 Sept 2022

Applying federated learning to protect data on mobile devices original ↗

14 Jun 2022

VESPA: Static profiling for binary optimization original ↗

15 Mar 2022

2021

Fully Sharded Data Parallel: faster AI training with fewer GPUs original ↗

15 Jul 2021

Asicmon: A platform agnostic observability system for AI accelerators original ↗

28 Jun 2021

How Facebook encodes your videos original ↗

5 Apr 2021

How machine learning powers Facebook’s News Feed ranking algorithm original ↗

26 Jan 2021

2020

On the value of diversified recommendations original ↗

17 Dec 2020

How Facebook keeps its large-scale infrastructure hardware up and running original ↗

9 Dec 2020

PPL Bench: Creating a standard for benchmarking probabilistic programming languages original ↗

22 Oct 2020

Mark Harman elected Fellow of the Royal Academy of Engineering original ↗

21 Sept 2020

Scalable data classification for security and privacy original ↗

21 Jul 2020

Building 2Africa, a transformative subsea cable to better connect Africa original ↗

18 May 2020

2019

Fighting Abuse @Scale 2019 recap original ↗

13 Dec 2019

CCSM: Scalable statistical anomaly detection to resolve app crashes faster original ↗

26 Nov 2019

Fast dimensional analysis for root cause analysis at scale original ↗

8 Nov 2019

2019 @Scale Conference recap original ↗

25 Oct 2019

Video @Scale 2019 recap original ↗

17 Oct 2019

Releasing a new benchmark and data set for evaluating neural code search models original ↗

3 Oct 2019

Hydra: A framework that simplifies development of complex applications original ↗

3 Oct 2019

MaRS: How Facebook keeps maps current and accurate original ↗

30 Sept 2019

Integrating autoconversion: Facebook’s path from Zawgyi to Unicode original ↗

27 Sept 2019

Register now for @Scale 2019!original ↗

17 Sept 2019

Creating a data set and a challenge for deepfakes original ↗

5 Sept 2019

New advances in natural language processing original ↗

14 Aug 2019

A new model for word embeddings that are resilient to misspellings original ↗

9 Aug 2019

Michael F. Cohen awarded 2019 Steven A. Coons award original ↗

30 Jul 2019

EGG: A toolkit for multi-agent language emergence simulations original ↗

30 Jul 2019

Mapping roads through deep learning and weakly supervised training original ↗

24 Jul 2019

Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker original ↗

11 Jul 2019