November 11, 2025
Now hiring: fireproof unicorns
Weave (YC W25) is hiring a founding ML engineer
YC startup seeks ‘formidable’ ML hero; commenters see burnout, hype, and no salary
TLDR: Weave, a YC-backed startup, wants a founding machine-learning engineer to ship end‑to‑end ML and ‘tame fires’ with grit. Comments clash over burnout vibes, missing pay details, and whether ‘10x productivity’ is help or bossware—plus memes about bringing a fire extinguisher to interviews.
Weave, the Y Combinator startup looking for a “founding ML engineer,” dropped a post dripping with hustle vibes: be formidable, stay gritty, and let little fires burn. The crowd pounced. Some cheered the chance to work directly with the CTO and CEO, calling it rare mentorship. Others read “fire” as code for burnout and pager-duty purgatory.
Top thread drama: the line “we don’t care about your current skills” collided with “must have shipped machine‑learning to production end‑to‑end.” That contradiction sparked salary demands and equity talk—where’s the range, what level is this, and is “founding” just a fancy word for doing everything? Skeptics mocked the mathy flex “the slope is more important than the Y‑intercept” with calculus memes about derivatives of your sleep schedule.
Then came the hot potato: Weave’s promise to make engineers “10x easier.” Fans picture smart automation; critics hear “bossware” grading devs. The CEO’s sales background fueled “will sales drive product?” debates, while the “best teams” phrasing felt elitist to some. Meanwhile, the scale claim—“millions of engineers”—got an eyebrow raise and a ratio of eye-roll emojis.
Jokes flew: bring an extinguisher to interviews, print a “grit meter,” and ask if the offer includes hazard pay and flame-retardant swag.
Key Points
- •Weave is hiring a founding machine learning engineer to build production ML systems that improve software engineering productivity.
- •The role reports directly to Weave’s CTO, Andrew (formerly founding engineer at Causal), and CEO, Adam (runs sales).
- •Must-have requirements include end-to-end ML experience—dataset selection, feature engineering, model design, deployment, and iteration.
- •Nice-to-have experience includes React + TypeScript (frontend), Go (backend), and Python for ML, plus interest in engineering productivity.
- •Weave describes itself as well-funded, backed by top investors, and growing rapidly, with a mission to help engineering teams move faster.