Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)

📋 Description

• Perplexity seeks an experienced ML Engineer to improve search quality across ranking stages.
• Own ambiguous ranking problems end to end from evaluation to deployment.
• Train/evaluate retrieval, ranking, and classification models, incl. neural/LLM approaches.
• Build and operate ranking infrastructure: feature computation, low-latency inference, cascades
• Balance quality, latency, reliability, and cost in engineering trade-offs.
• Collaborate across Data, AI, Infrastructure, and Product to own final quality outcomes.

🎯 Requirements

• Deep understanding of search or recommender systems and their evaluation.
• Ownership of large-scale production ranking system or related quality problems.
• Strong ML and software-engineering skills across data, models, serving, monitoring.
• Ability to drive ambiguous, cross-team problems.
• Exceptional depth in modern neural ranking methods or low-latency ranking systems.
• Minimum 5 years of relevant industry experience.

🎁 Benefits