Staff Machine Learning Engineer, Consumer
Core
Building large-scale ML systems for recommendations, search, messaging, and foundational AI to drive user engagement and discovery at Reddit.
Role type
Staff Machine Learning Engineer (Consumer)
Builds
End-to-end ML systems including retrieval/ranking models, representation learning embeddings, and LLM/GenAI-powered capabilities for the Consumer ecosystem.
Domain
Social Media / Large-scale Applied Machine Learning
Deliverable
production ML models
Required skills
Machine learning methods (classical and deep learning), TensorFlow, PyTorch, Hugging Face Transformers, Python, Golang, data pipelines, feature engineering, model training/serving, production monitoring, technical strategy, cross-functional collaboration, ethical AI principles, mentorship, technical vision.
Preferred skills
Recommender systems, Search systems (lexical and semantic retrieval and ranking), Content understanding (NLU/NLP/LLM), distributed systems, real-time systems, LLM/GenAI techniques (evaluation, alignment, fine-tuning, RAG), experimentation rigor.
Technologies
TensorFlow, PyTorch, Hugging Face Transformers, Spark, Kafka, Ray, Airflow, BigQuery, Redis
Responsibilities
Lead end-to-end ML initiatives from ideation to production; Architect, build and deploy large-scale ML systems; Drive measurable impact on user engagement; Collaborate with cross-functional teams to align roadmaps; Stay at the forefront of AI research; Contribute to ethical AI principles; Mentor and guide senior and mid-level ML engineers; Set technical vision and drive technical discussions.
Seniority
Staff, hands-on IC with strategic leadership
