Staff Software Engineer, Reddit

ML Search

$230-322k

Plus restricted stock units

Kubernetes

Python

GraphQL

Kafka

Elasticsearch

Redis

Airflow

Kubeflow

Lucene

BigQuery

REST API

Golang

Senior and Expert level

Remote from US

Online platform for thoughts, experiences and discussions

Be an early applicant

Online platform for thoughts, experiences and discussions

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Be an early applicant

$230-322k

Plus restricted stock units

Kubernetes

Python

GraphQL

Kafka

Elasticsearch

Redis

Airflow

Kubeflow

Lucene

BigQuery

REST API

Golang

Senior and Expert level

Remote from US

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Company mission

To empower communities, and make their knowledge accessible to all.

Job

Company

Role

Who you are

8+ years of industry experience with a focus on search and recommendation systems
6+ years of experience in designing, building and iterating large-scale search relevance and infrastructure systems, handling end-to-end system development
Proven track record in delivering large and complex systems with big business impacts
Knowledge and experience working with search systems (e.g. Lucene, Solr, ElasticSearch, Opensearch etc.)
Demonstrated expertise at cross-functional collaboration - successfully shipped several large-scale projects with complex dependencies across teams
Proficient in object-oriented programming (Python, Golang)
Experience in API design and integration with GraphQL, REST, HTTP, Thrift or gRPC
Experience of developing applications using large-scale data stack - e.g. Kubeflow, Airflow, BigQuery, Kafka, Kubernetes, Redis etc

What the job involves

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
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
Create reusable infrastructure that other MLEs depend on to train, deploy, and iterate on models
Ensure pipelines and systems support high scale, low latency, and operational excellence
Enable modeling with better systems, features, and deployment pathways

Our take

Reddits is an online platform that hosts thousands of message board communities (known as subreddits) designed to foster authentic human connection. With more than 100,000 communities covering everything from food, entertainment, and sports to niche interests for highly specific audiences, there's virtually a space for everyone.

The platform attracts over 52M daily users and more than 50B monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddits stands out by offering easily discoverable communities where users can dive deep into virtually any topic imaginable.

Today, Reddit continues to grow its user base and expand its reach, remaining a unique hub for conversation,m connection, and shared interests. With its strong community-driven model and steady revenue streams, it's most definitely positioned to stay a central part of online culture for years to come.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

57% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 6 rounds)

Aug 2021

$410m

SERIES F

Feb 2021

$250m

SERIES E

Total funding: $1.2bn

Company benefits

Comprehensive health benefits
Flexible vacation & Reddit global days off
Family planning funds & 4+ months paid parental leave
Personal & professional development funds
Paid volunteer time off
Workspace & home office benefits

Company HQ

SoMa, San Francisco, CA

Leadership

Steve Huffman

(Co-Founder & CEO)

After co-founding Reddit in 2005, they stepped away from the company to co-found Hipmunk, where they were the CTO for 5 years. They returned to Reddit in 2015, and have been the CEO since.

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