Search Senior Machine Learning Engineer (London, Belgrade, Berlin)
Role Overview
This senior-level role involves building advanced search technologies, focusing on retrieval and ranking. Day-to-day tasks include training and evaluating models like LLMs, deploying scalable solutions, and optimizing RAG pipelines. The engineer will collaborate with cross-functional teams to enhance search quality and drive fast, high-impact delivery.
Perks & Benefits
The job is fully remote, offering flexibility in location, with no explicit time zone restrictions mentioned. It likely includes typical tech benefits such as career growth opportunities in AI and search, and a collaborative culture with teams like Data and Infrastructure. Assumed perks may include competitive compensation and a focus on ownership and execution in a dynamic environment.
Full Job Description
Perplexity is seeking an experienced Senior 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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