Software Engineer, Reddit

Ads ML Features Platform

Salary not provided

Scala

Redshift

Spark

Snowflake

BigQuery

Mid and Senior level

Remote from UK

Online platform for thoughts, experiences & discussions

Job no longer available

Online platform for thoughts, experiences & discussions

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Job no longer available

Salary not provided

Scala

Redshift

Spark

Snowflake

BigQuery

Mid and Senior level

Remote from UK

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Company mission

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

Job

Company

Role

Who you are

3+ years in infrastructure/platform engineering or large-scale distributed systems
2+ years hands-on experience with SQL-based cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, Databricks)
Proficiency with large-scale feature computation frameworks (Spark, PySpark, or Scala)
Expertise in distributed systems (scaling, partitioning, fault tolerance, caching)
Familiarity with ML production systems, especially ML feature platforms, is a big plus
Knowledge of MLOps workflows – from feature engineering to training to online serving

What the job involves

We’re building a scalable feature platform that powers Ads ML by making high-quality features easy to build, share, and maintain. Our small but growing team works on projects like batch feature management, impression feature store, training set generation, and event-driven features—with streaming feature management on the horizon
We are looking for an engineer with deep experience in building high-scale data infrastructure and ML platforms to help evolve and scale our feature management systems
Design and build data infrastructure that supports large-scale feature computation, transformation, and storage
Develop frameworks for batch and event-driven features with a focus on reliability, scalability, and ease of use
Drive improvements in data quality and governance through validation, anomaly detection, drift monitoring, and feature lineage tracking
Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems
Contribute to training set generation pipelines and ensure reproducibility and feature versioning for model development
Help shape the future of the platform by exploring streaming feature management and other next-gen capabilities

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 130,000 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 120 million daily users and billions of monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddit 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, 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 (3.9)

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

(CEO & Founder)

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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