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

San Francisco💼 Full-time🗓 2026-06-06 → 2026-07-31

Core

Design, build, and optimize recommendation systems and user modeling to personalize the Perplexity AI experience and drive core user metrics.

Role type

Senior IC ML Engineer (Recommendations & User Modeling)

Builds

Personalized recommendation and ranking systems for Perplexity's core AI product

Domain

AI / LLMs / Personalization

Deliverable

production ML models

Required skills

production recommendation systems, ranking, user modeling, LLM integration, engagement modeling, model calibration, online experimentation

Preferred skills

large-scale ranking infrastructure, feature stores, real-time serving, lifecycle modeling

Technologies

LLMs, feature stores

Responsibilities

Own personalization and ranking for key product surfaces, build user modeling for intent and preference, design decision layers balancing objectives, build data and evaluation foundations, shape technical direction for ranking and personalization

Seniority

Senior, hands-on IC

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