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# Staff-level Machine Learning Engineer

- **Company:** reddit Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $230,000.0 - $322,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Machine Learning, Recommender Systems, Tensorflow, Pytorch, Deep Learning
- **Published:** September 25, 2026
- **Apply:** https://job-boards.greenhouse.io/reddit/jobs/8187652

## About the Role

* 7+ years of industry experience, including several years in applied ML roles
 * Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)
 * Strong background in recommendation systems, ads ranking, or similar domains
 * Experience working with large-scale datasets and complex feature pipelines
 * Strong problem-solving and experimentation skills
 * State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys)
 * Knowledge about Recsys or Ads funnel
 * Track record of delivering high-impact models in production settings
 * Comfort collaborating with infra and data teams on feature serving and training pipelines, * Experience with conversion modeling, app ads, or performance/brand ads
 * Experience in ads marketplaces at peer companies
 * Publications, patents, or industry contributions in applied ML or ranking systems

## Description

* Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking
 * Develop and optimize features including embeddings, contextual signals, and cross-session behavior
 * Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis
 * Mentor other MLEs and contribute to modeling best practices across the org
 * Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)


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