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The path to a frontier AI job, according to a top Google DeepMind engineer

Google DeepMind distinguished engineer Vladimir Feinberg has some blunt advice for those seeking a job at a top AI lab — "work like a dog."

The path to a frontier AI job, according to a top Google DeepMind engineer

TL;DR

  • Vladimir Feinberg, a distinguished engineer at Google DeepMind, offers advice for securing jobs at top AI labs.
  • He emphasizes the need for "intent," "mathematical maturity," and "grit," qualities found in elite students.
  • Feinberg recommends taking difficult, proof-based classes, coding extensively, and aggressively using AI tools.
  • Aspiring researchers should dedicate significant time outside of class to develop necessary skills.
  • Demonstrating a specific, required skill for the lab is crucial for hiring.
  • Focusing on areas supporting LLMs, rather than LLM creation itself, can be a pathway.
  • Being a supportive and collaborative coworker is also important for career success.
  • Feinberg believes research skill sets will become increasingly valuable.
  • Colleagues at OpenAI and Anthropic reportedly agree with his advice.