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Perplexity is seeking experienced Applied AI & ML Engineers to build and improve the query understanding systems that power our next-generation information discovery experience. In this role, you'll focus on understanding user intent deeply and accurately, which is foundational to providing relevant, high-quality, and context-aware responses. Responsibilities include architecting and developing core machine learning models for query understanding, including intent classification, query rewriting, agentic task decomposition, and function calling. Leverage and fine-tune LLMs to capture nuanced user intent and contextual signals from user queries and behaviors. Deliver end-to-end ML solutions and own the full stack to optimize query understanding. Partner with Product manager and collaborate with other engineers to ensure fast and high quality deliverable to end users. Qualifications include strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack, experience in training DNN and Transformer architecture models, self-motivation with a willingness to take ownership of tasks, a passion for shipping quality products, and 4+ years of industry experience in related fields including search, information retrieval, recommendation system, applied machine learning, and NLP.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Software Development
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