Staff Software Engineer, ML Search

Confirmed live in the last 24 hours

Compensation

$230,000 - $322,000/year

Remote - United States

Remote

Posted March 20, 2026

Job Description

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Location:
This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like.

Team Description:
The Search & Recommendation Relevance team focuses on delivering the most relevant results when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and diverse opinions from all across Reddit on any topics - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant. To achieve this, our Search Recommendation systems need to be built for maintainability, scalability, and low latency in mind.

As a Staff Software Engineer, ML Search, you’ll build backend and pipeline systems that turn models into real search experiences for 110M+ daily users, owning data flows, ranking and retrieval services, and low-latency model-serving APIs. You’ll integrate models into production through robust interfaces and DAGs, enabling fast iteration and powering discovery across the internet’s largest community platform.

Responsibilities:

Own pipelines and DAGs that move data, features, embeddings, and models through the ML lifecycle
Design/maintain ranking and retrieval services that run models in real-time
Build scalable model-serving APIs, ensuring reliability, efficiency, and performance

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