Architect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding
Lead projects from ideation → modeling → experimentation → production → iteration
Design and improve recommender systems and ranking models across surfaces (feed, search, notifications)
Optimize for user engagement, discovery, and long-term value
Build next-gen AI-powered search and recommendation experiences, including LLM-integrated systems
Develop pipelines that help users find high-quality answers and content across Reddit’s corpus
Build and optimize content embeddings and representation models for users, communities, and content
Leverage and advance LLMs and multimodal models for deeper understanding and personalization
Evaluate model performance, improve accuracy, and reduce bias
Partner with Product, Data Science, Infra, and UX teams to solve complex problems
Translate ambiguous business needs into scalable ML solutions
Mentor engineers and raise the bar across the organization
Establish best practices for ML development, experimentation, and responsible AI
Act as a thought leader across teams and domains
Requirements
6+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience driving measurable impact through applied machine learning.
Tech Stack
Python
PyTorch
Tensorflow
Go
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support