Staff Machine Learning Engineer, Consumer

Stack

Responsibilities

• ▹Lead ML initiatives end-to-end from ideation through production and iteration
• ▹Architect large-scale ML systems across recommendation, search, and content/user understanding
• ▹Drive measurable impact on user engagement and content discovery
• ▹Align product and technical roadmaps with cross-functional teams
• ▹Mentor engineers and contribute to responsible AI principles

Requirements

• ▹7+ years building and operating ML systems in production
• ▹Deep understanding of classical and modern deep learning methods (Transformers, GNN)
• ▹Expert-level use of TensorFlow, PyTorch, or Hugging Face Transformers
• ▹Production-quality code in Python and Golang with testing and monitoring
• ▹Experience scaling ML systems: pipelines, feature engineering, training/serving
• ▹Track record of measurable impact through applied machine learning

Nice to have

• ▹Subject matter expertise in recommender systems, search, or content understanding (NLU/NLP/LLM)
• ▹Familiarity with distributed data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis)
• ▹Experience with real-time, low-latency production systems
• ▹Experience with LLM/GenAI techniques (evaluation, fine-tuning, RAG/agentic systems)

Soft skills

About the company

Reddit is a community of communities, built on shared interests, passion, and trust, home to some of the internet's most open and authentic conversations. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.