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Perplexity

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 Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Relentlessly push search quality forward&mdash;through models, data, tools, or any other leverage available
 </li>
 <li>
 Architect and build core components of our search platform and model stack
 </li>
 <li>
 Train and evaluate retrieval, ranking and classification models, including LLMs
 </li>
 <li>
 Deploy models - from boosting to LLMs - in a scalable and performant way
 </li>
 <li>
 Build and optimize RAG pipelines for grounding and answer generation
 </li>
 <li>
 Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
 </li>
 <li>
 Proven track record with large-scale search or recommender systems
 </li>
 <li>
 Self-driven, with a strong sense of ownership and execution
 </li>
 <li>
 Minimum of 5 years of working on search or recsys-related projects
 
 
 </li>
 </ul>
</div>

Member of Technical Staff (Machine Learning Engineer, Search)

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Member of Technical Staff (Machine Learning Engineer, Search)