Machine Learning Systems Engineer, Reddit
Ads ML Platform
Online platform for thoughts, experiences and discussions
Posted today
Online platform for thoughts, experiences and discussions
1001+ employees
Posted today
1001+ employees
Company mission
To empower communities, and make their knowledge accessible to all.
Role
Who you are
- 3+ years in data infrastructure/platform engineering or ML infrastructure platforms
- Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools
- Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies
- Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving
- Strong coding skills and ability to write clean, maintainable, well-tested code
- Experience building intelligent automation or agentic workflows for ML systems is a strong plus
- Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus
What the job involves
- We’re building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain.
- Our small but growing team works on projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management
- We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems
- This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive
- Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage
- Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use
- Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning
- Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems
- Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management
- Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives
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
57% employee growth in 12 months
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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