Matching Algorithm Engineer

NewsBreak•Mountain View, CA

10d•Remote

About The Position

NewsBreak is seeking a Matching Algorithm Engineer to build the algorithms that connect local consumers with the right businesses at the right moment. This role involves working on search ranking, two-sided marketplace matching, and dispatch optimization. The position is crucial for the engine of a local marketplace, focusing on learning-to-rank and retrieval pipelines, matching and dispatch models, and relevance and recommendation systems that drive marketplace conversion. The ideal candidate will have experience owning ranking or matching models that have improved conversion in a marketplace setting.

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.