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Senior Machine Learning Engineer - Search

Pantera Capital

Leeds

On-site

GBP 60,000 - 80,000

Full time

Today
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Job summary

A tech company in Leeds is seeking an experienced Machine Learning Engineer to build the next generation of advanced search technologies. You will push search quality forward, architect core components, and train models to optimize retrieval and ranking. Ideal candidates have a deep understanding of search systems and at least 5 years of relevant experience.

Qualifications

  • Minimum of 5 years of working on search or recommender systems.
  • Expertise in quality evaluation principles and metrics.

Responsibilities

  • Push search quality forward through models and data.
  • Architect and build core components of search platform.
  • Train and evaluate retrieval and ranking models.

Skills

Deep understanding of search and retrieval systems
Proven track record with large-scale search or recommender systems
Self-driven and strong sense of ownership
Job description
Overview

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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