# Founding Machine Learning / AI Search Engineer at Hiring Cafe

> Onsite · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Ahiring-cafe%3Aa98ed711-d092-44f6-acba-e5b9fcfe009e (read 2026-11-09).

## Facts (observed)

- Company: [Hiring Cafe](https://alderhq.app/companies/hiring-cafe)
- Location text: Cupertino
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: Cupertino")
- Posted: 2026-05-20 (172 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/hiring-cafe/a98ed711-d092-44f6-acba-e5b9fcfe009e
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: $160k–$310k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 461): p25 $200k, median $250k, p75 $300k

## Description (the employer's text)

Job discovery is broken. Indeed and LinkedIn want to keep it that way. Join our team and help millions of people put food on the table by finding the perfect job.

HiringCafe.com is building a 100× better job search engine — fast, comprehensive, honest, and actually useful. We index millions of jobs, remove noise, rank what matters, and help people find real opportunities without dark patterns, ads, or pay-to-win placement.

We don’t believe in hype. We believe in shipping product and listening obsessively to users. In 12 months, we grew from 0 → 1 million+ monthly active users in 12 months. So everything you ship goes directly to real people.

### Our team

Hamed Nilforoshan - Stanford AI PhD, Data Science at Airbnb & Snapchat

Ali Mir - SWE at Meta, Rippling, DoorDash

Jure Leskovec - Stanford AI Professor, ex-Chief Scientist at Pinterest

### What we’re building

AI recommender systems that help people discover opportunities they wouldn’t have found on their own

AI browser agents that scrape every job on earth, in real-time

Scalable infrastructure that transforms fragmented web data into a clean, searchable platform

A product where engineering, data, and design decisions directly shape how people find their next chapter

### What you bring to the table

You want ownership, leverage, and responsibility from day one.

Technically strong with solid fundamentals in programming and systems design

Able to learn fast and go deep on unfamiliar problems

Obsessive about details, quality, and correctness

Relevant experience to building AI search (one or more of the following)

General machine learning background

Large-scale search and ranking systems

ML recommender systems

Retrieval infrastructure

Building LLM Agents

### Perks

Competitive pay & equity

Flexible PTO & family leave

Full medical, dental, and vision benefits

Design your own perks as a core member of the founding team

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ahiring-cafe%3Aa98ed711-d092-44f6-acba-e5b9fcfe009e and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.