Staff AI/ML Engineer, Recommendations — Quora
About the role
Build and scale the recommendation systems that surface the most relevant questions, answers, and AI responses across Quora and Poe. You'll design and ship large-scale ML models driving core product engagement for 400M+ monthly users, working across the full ML lifecycle from feature engineering and modeling to online serving at scale.
What you'll do
- Design and improve ML models powering content recommendations across Quora's Q&A platform and Poe's AI chat experiences
- Own the full ML lifecycle: feature engineering, model training, offline evaluation, and online A/B experiments
- Drive infrastructure improvements to serving latency and throughput for recommendation systems at scale
- Collaborate with product and engineering to define the recommendation roadmap and prioritize high-impact experiments
Requirements
- 5+ years of industry ML engineering experience with a focus on recommendation or ranking systems
- Strong foundation in ML fundamentals: large-scale supervised learning, embeddings, two-tower models, or similar
- Experience shipping production ML systems serving high traffic at low latency
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar)
About Quora
Quora is the world's largest Q&A platform with 400M+ monthly visitors, and creator of Poe — an AI chatbot aggregator providing access to Claude, ChatGPT, Gemini, and other leading AI models. Based in Mountain View, CA.
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