Posted by employer 7 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 22 hours ago
Skills & Technologies
Requirements
- Experience
- 8+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Machine Learning Systems Engineer at Reddit, the individual will spearhead the development of a robust platform for large-scale machine learning models, focusing on enhancing the model lifecycle and optimizing performance. Key skills include extensive experience with ML infrastructure, cloud technologies, and proficiency in programming languages like Python, alongside familiarity with distributed training frameworks. This position is ideal for seasoned professionals with over eight years in the field, particularly those with a strong background in MLOps and graph databases. The Machine Learning Platform team is integral to Reddit's growth, directly influencing various de
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 15, 2026. Last confirmed on Reddit's careers page October 28, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 51% of 96 comparable staff ai/ml roles in United States that list Python we track (median $226,500 across 39 companies). See Python salary trends
- Python appears in 48.8% of 281 comparable staff ai/ml roles in United States; Google Cloud Storage appears in 0.4% of 281 comparable staff ai/ml roles in United States.
Quick facts
- What's the salary range?
- Reddit lists $230,000–$322,000 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Staff Machine Learning Systems Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Apache Beam, Apache Spark, Deep Graph Library, GCP BigQuery, Google Cloud Storage, JanusGraph.
- What seniority level is this role?
- Reddit targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Machine Learning Systems Engineer role at Reddit.
From the original posting
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.
- Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
- Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
- Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
- Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
- Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges
Who You Might Be:
- 8+ years of experience in ML infrastructure, including model training and model deployments
- Hands-on experience with ML optimization, including memory and GPU profiling
- Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
- Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
- Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
- Deep experience working with distributed training frameworks, including Ray and Kubernetes
- Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
- Strong organizational & communication skills
- Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
- Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus
Pay Transparency:
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
Standard company text repeated across Reddit's postings is omitted here.