Perplexity

Member of technical in search

In short

A machine learning engineering role at Perplexity focused on building and improving search, retrieval and ranking systems, including training and deploying LLM-based models and RAG pipelines. The position is hybrid in Belgrade, lead-level, requiring at least 5 years of hands-on experience with large-scale search or recommender systems. Collaboration spans Data, AI, Infrastructure and Product teams, with no salary or benefits disclosed.

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
Requirements:
•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
Conditions: Not specified in the posting.

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