Staff Machine Learning Engineer (Notifications Relevance)
full-remoteleadpermanentbackenddata Full remote 30 days ago via WTTJ
See how well this job matches your profile
Sign up to get an AI match score and generate a tailored application in seconds.
Get your match scoreTags
Machine LearningRecommendation SystemsNotifications RelevancePythonGolangPyTorchTensorFlowLLMsGenerative AIAgentic AI
About the role
Role overview
Join Reddit as a Staff Machine Learning Engineer (Notifications Relevance). You will lead the strategy, architecture, and execution of large-scale recommendation systems, improving core capabilities and deploying ML models at massive scale.
Responsibilities
- Design and implement algorithms for content discovery to support Reddit growth.
- Deeply understand the Reddit Notifications product and drive the team’s relevance vision.
- Serve as an ML expert: make architectural decisions and deploy state-of-the-art models at scale.
- Collaborate cross-functionally to find technical solutions to complex ML challenges.
- Identify high-impact opportunities, define roadmaps, and drive scalable improvements in notifications relevance.
Requirements
- 8+ years of industry experience with deep expertise in large-scale recommendation systems (notifications experience preferred).
- Strong proficiency in object-oriented programming with Python and Golang.
- Proven experience building and deploying large-scale ML models using frameworks such as PyTorch or TensorFlow.
- Experience working with LLMs in production and using generative AI to augment recommendation systems.
Nice to haves
- Experience with state-of-the-art model architectures.
- Experience building production agentic AI frameworks.
- Proven ability to operationalize model improvements into production systems.
About Reddit
Reddit is a global social media platform where communities share content and discussions. It uses large-scale personalization and recommendation systems to improve user engagement, including relevance for features like notifications.
Scraped 6/25/2026