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

Навыки

• Лидерство
• LLM
• Machine Learning
• Ответственность за результат

О компании и продукте

• Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
• Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
• Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
• Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.

Задачи

• Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics
• Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences
• Design the decision layer that balances competing objectives to produce the best overall experience for the user
• 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

Требования

• Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale
• Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation
• Experience integrating LLMs into ranking, retrieval, or personalization pipelines
• Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles
• For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects

Будет плюсом

• Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving)
• Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.