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It’s time to become an ML engineer

Greg Brockman · 11 Apr 2022

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Every claim below was made in this piece, quoted word for word and numbered in the order the piece makes them, so you can read it there rather than take our word for it. The sentence above each quote is our reading of the claim, not their wording. Each quote was checked against a stored copy of the page at build time; where the two differ, the quote is the fact.

  1. because the field is fundamentally about creating and studying software systems, great engineers are able to contribute at the same level as great researchers to future progress
  2. precision execution on large-scale models is a force multiplier on AI progress, and we need more people with strong software skills who can deliver these systems
  3. The most important determiner is a specific flavor of technical humility. Many dearly-held intuitions from other domains will not apply to ML.
  4. I believe that AI research is today by far the most impactful place for engineers who want to build useful systems to be working, and I expect this statement to become only more true as progress continues.

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