Matching Algorithm Engineer

NewsBreak•Mountain View, CA

11d•$163,000 - $400,000

About The Position

You will build the algorithms that connect local consumers with the right businesses at the right moment — search ranking, two-sided marketplace matching, and dispatch optimization. This is the engine of a local marketplace: learning-to-rank and retrieval pipelines, matching and dispatch models, and the relevance and recommendation systems that move marketplace conversion. If you have owned ranking or matching models that improved conversion at a marketplace, this role is the heart of the product.

Requirements

4+ years as an ML Engineer / Applied Scientist on ranking, matching, dispatch, retrieval, or recommendation.
Direct work on two-sided marketplace matching or dispatch, or on search ranking with a learning-to-rank / retrieval pipeline.
Demonstrated marketplace-conversion impact (you can point to the lift and how you measured it).
Strong experimentation skills, including causal methods for marketplaces (e.g., switchback).
Production ML at scale.

Nice To Haves

Background at DoorDash, Uber, Instacart, Airbnb, Yelp, Nextdoor, Lyft, Amazon, or Faire.
Relevance / matching work that connects consumers with local businesses (Yelp, Nextdoor).
Didi / Meituan dispatch-and-matching experience, now US-based.

Responsibilities

Build search-ranking, marketplace-matching, and dispatch models for a two-sided local marketplace.
Own learning-to-rank and retrieval/recall pipelines end to end.
Improve marketplace conversion through relevance, matching, and recommendation models.
Design and analyze experiments (A/B, switchback) to prove causal impact in a marketplace setting.
Bring modern ML/LLM techniques into ranking and matching where they add real lift.