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Google DeepMind pre-training lead explains two skills with massive demand by AI frontier labs: > Kernel Development > Low Level Performance Engineering

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ℏεsam

90,503 subscribers

81,607 görüntüleme • 3 ay önce •via X (Twitter)

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Russian Bot profil fotoğrafı
Russian Bot3 ay önce

If I was running Google I would forbid any “Googler” from doing interviews until Googles position in the AI race was no longer a complete joke.

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artyst3 ay önce

interesting, let's see how it unfolds

David Song profil fotoğrafı
David Song3 ay önce

sw mentioned in the same sentence as low latency feels like a crime hft mastered latency years ago and it's not via writing more layers of sw

Eclipse 🌖 profil fotoğrafı
Eclipse 🌖3 ay önce

Makes sense—demand for kernel dev and low-level perf engineering has been climbing with every new training run. Curious how many of those roles are going to ex-FAANG systems folks vs. fresh grads.

GrillePainVert profil fotoğrafı
GrillePainVert3 ay önce

Basically they still need 10 human software developers.

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Vlad Feinberg (Vlad Feinberg) is Google DeepMind’s pre-training area lead and I asked him all about how to land a job at a frontier lab like Google DeepMind, Anthropic or OpenAI. In this episode: • Skills frontier labs need • Differences between software engineering and AI research • Domains that matter for frontier research • Concrete steps engineers can take to get closer to research • Jeff Dean spot bonus story Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 - Intro 00:33 - Skills frontier labs need 08:45 - The difference between AI research and engineering 21:41 - Domains that matter for the frontier 30:50 - Marketing yourself to frontier labs 35:13 - Concrete steps engineers can take 38:29 - Overview of pre-training areas 47:23 - Jeff Dean spot bonus story 50:14 - Favorite Gemini war story 58:59 - Advice for his younger self 01:03:07 - Outro
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Vlad Feinberg (Vlad Feinberg) is Google DeepMind’s pre-training area lead and I asked him all about how to land a job at a frontier lab like Google DeepMind, Anthropic or OpenAI. In this episode: • Skills frontier labs need • Differences between software engineering and AI research • Domains that matter for frontier research • Concrete steps engineers can take to get closer to research • Jeff Dean spot bonus story Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 - Intro 00:33 - Skills frontier labs need 08:45 - The difference between AI research and engineering 21:41 - Domains that matter for the frontier 30:50 - Marketing yourself to frontier labs 35:13 - Concrete steps engineers can take 38:29 - Overview of pre-training areas 47:23 - Jeff Dean spot bonus story 50:14 - Favorite Gemini war story 58:59 - Advice for his younger self 01:03:07 - Outro

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