Member of Technical Staff (ML Engineer, Recommendations & User Modeling)

📋 Description

• Own the personalization and ranking behind key product surfaces to make Perplexity more useful and
• Build user modeling that captures intent, preference, and propensity, and powers more relevant
• Design the decision layer that balances competing objectives to produce the best overall experience
• Build the data and evaluation foundations that let these systems learn and improve with usage.
• Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.

🎯 Requirements

• Deep, hands-on experience building production recommendation, ranking, or personalization systems
• Strong ML fundamentals, covering engagement modeling, model calibration, offline and online
• Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
• Taste and judgment for personalization in an LLMonative product; curiosity to reimagine it from
• For tech leadership roles, prior experience setting technical direction for recommendation/ranking

🎁 Benefits

• Craftsmanship. High quality, tasteful products for AI native and AI curious users.
• Ownership. Identify problems, design solutions, and ship.
• Entrepreneurship. Act with urgency and hustle to deliver for users.
• Scholarship. Learn and uplevel ourselves, teams, and products.
• Partnership. Amplify strengths and help colleagues deliver excellence.