SECTION I · THE BRIEF
Brief #89855Updated 22 AUG 2026SAN FRANCISCO, CAYc
Employbl Company Profile

ML Engineer

Raindrop is hiring a ML Engineer in San Francisco, CA. Full brief — comp band, interview process, and hiring team — available to Employbl members.

Location
San Francisco, CA
Company size
5–10
Posted
3d ago
Via
Yc
Section II · Premium ProfileMembers only
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

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ML Engineer · Raindrop

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Job title
ML Engineer
Job location
San Francisco, CA, US
Job description
[Raindrop](http://raindrop.ai) is the monitoring platform for AI agents. Engineering teams at Fortune 100s and the fastest-growing AI companies (Vercel, Speak, Clay) use it to catch silent failures in production. When an agent misbehaves, Raindrop alerts the team, links to the trace, and surfaces the root cause so they can fix it fast. With [Raindrop 2.0 (Self-Healing Agents)](https://www.raindrop.ai/blog/introducing-raindrop-2/), the loop closes itself: your coding agent fixes it, and the fix becomes an eval to prevent regressions. ### Why It Matters AI agents fail constantly in ways both hilarious and terrifying. Regular software throws exceptions. But AI agents fail silently, leaving engineers with almost no visibility into how their agents are actually performing. The current status quo is sifting through millions of logs and trying debug flaky evals that just aren't matching real world results. Evals are like unit tests, they confirm your model got specific test cases right. But in the real world agents call thousands of tools, run for hours, and encounter millions of unpredictable actions. That’s where Raindrop comes in. It learns the unique shape of each AI agent’s issues. Starting from presets like Laziness, Forgetting, or Task Failure, to automatically tuning itself to each agent and discovering unknown unknowns. With one click of a button, AI engineers start tracking issues or topics across 100% of their production data. They can see frequency over time, how many users are affected, relevant properties and more. In order to process hundreds of millions of events, we gradually train small, custom models, private to each company, that learn to uniquely understand how their product is used. As part of the early team, you’ll play a fundamental role in shaping the company - from making strategy and product decisions, to helping scale the team, to shaping the future of AI agents. ### Our Investors We’re backed by incredible investors including Lightspeed and leading AI companies including Figma Ventures, Vercel Ventures, founders of Replit (Amjad Masad and Michele Castata), Cognition (Walden Yan), Framer (Koen Bok and Jorn van Dijk), Speak (Andrew Hsu), Notion (Akshay Kothari) and more. ### Your Focus * Build out a world-class product - servicing millions of requests a day + growing. * Architect, implement, and scale ML pipelines * Quick iteration without compromising on quality * Deeply understand the customer ### Ideal Candidate * Knows how to balance short-term and long-term speed * Proven experience scaling applications * Interest in AI products + tools (ideally experience building these or an avid user) * [Growth mindset](https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/1400062756/ref=asc_df_1400062756/?tag=hyprod-20&linkCode=df0&hvadid=693552282123&hvpos=&hvnetw=g&hvrand=4674755525298314094&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=1014226&hvtargid=pla-404766125919&psc=1&mcid=f98b4cf9fde83f4189d30cfe308d0799&gad_source=1) * Cares about building well-designed products * Willing to do whatever it takes to solve a problem * Must be in person in San Francisco (or willing to move)
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Where this role is based

San Francisco, CA

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Raindrop headquarters

Company size

510 employees

Founded

2024

Total raised

$15,000,000

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Funding rounds

  • Seed$15M