Research Engineer/Scientist, Training Algorithms
Mountain View, California, US
My team is hiring a research scientist or engineer to work on methodological deep learning research! We study how to improve the deep learning "workflow" (developers.google.com/machine-lear...) with a special emphasis on training algorithms and recipes job-boards.greenhouse.io/deepmind/job...
18.07.2025 20:45 — 👍 7 🔁 3 💬 0 📌 0
YouTube video by Tübingen Machine Learning
ICLR 2025: Accelerating Neural Network Training (AlgoPerf)
The explainer video: www.youtube.com/watch?v=_yX1...
03.04.2025 11:15 — 👍 7 🔁 2 💬 0 📌 0
We're all about acceleration! 😉
Watch @priya-kasimbeg.bsky.social & @fsschneider.bsky.social speedrun an explanation of the AlgoPerf benchmark, rules, and results all within a tight 5 minutes for our #ICLR2025 paper video on "Accelerating Neural Network Training". See you in Singapore!
03.04.2025 11:15 — 👍 5 🔁 4 💬 1 📌 0
Hi there! This account will post about the AlgoPerf benchmark and leaderboard updates for faster neural network training via better training algorithms. But let's start with what AlgoPerf is, what we have done so far, and how you can train neural nets ~30% faster.
14.03.2025 20:56 — 👍 6 🔁 3 💬 1 📌 1
Making LLMs run efficiently can feel scary, but scaling isn’t magic, it’s math! We wanted to demystify the “systems view” of LLMs and wrote a little textbook called “How To Scale Your Model” which we’re releasing today. 1/n
04.02.2025 18:54 — 👍 95 🔁 28 💬 3 📌 8
Building Digital Ecosystems at Google.
https://hachyderm.io/@mekkaokereke
He/him.
Menswear writer. Editor at Put This On. Words at The New York Times, The Washington Post, The Financial Times, Esquire, and Mr. Porter.
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Probabilistic ML researcher at Google Deepmind
Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
machine learning asst prof at @cs.ubc.ca and amii
statistical testing, kernels, learning theory, graphs, active learning…
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The real jbouie. Columnist for the New York Times Opinion section. Co-host of the Unclear and Present Danger podcast. b-boy-bouiebaisse on TikTok. jbouienyt on Twitch. National program director of the CHUM Group.
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Research Scientist at Google DeepMind. Working on Gemini reasoning models.
PhD from UofT and Vector Institute
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AlgoPerf benchmark for faster neural network training via better training algorithms
The world's first fully autonomous ride-hailing service. Over 10M trips served and counting.
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Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning
Support decarbonization, zero-CO2 generation & competitive markets. Former Commissioner of PA PUC, Secretary of PA DEP, Secretary of Policy & Public Advocate for consumers of Philadelphia's municipal utilities. Law degree.
