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Job Description

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

  • Relentlessly push search quality forward—through models, data, tools, or any other leverage available

  • Architect and build core components of our search platform and model stack

  • Train and evaluate retrieval, ranking and classification models, including LLMs

  • Deploy models - from boosting to LLMs - in a scalable and performant way

  • Build and optimize RAG pipelines for grounding and answer generation

  • Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

Qualifications

  • Deep understanding of search and retrieval systems, including quality evaluation principles and metrics

  • Proven track record with large-scale search or recommender systems

  • Self-driven, with a strong sense of ownership and execution

  • Minimum of 5 years of working on search or recsys-related projects

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Perplexity
Consumer Apps & Media · 200-500 Members · San Francisco, CA, United States

Perplexity is an AI-powered answer engine that combines large language models with real-time web retrieval to give direct, cited answers to questions.

Founded in 2022, it positions itself as a conversational alternative to traditional search.

All jobs at Perplexity

Location

Serbia Hybrid

Job Overview
Job Posted:
1 year ago
Workplace
Hybrid
Job Type
Full Time
Education
Any
Experience
8+ years

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