Search Senior Machine Learning Engineer

This listing is synced directly from the company ATS.

Role Overview

As a Senior Machine Learning Engineer at Perplexity, you will architect and build core components of the search platform, focusing on retrieval and ranking systems. You'll train and evaluate models, including LLMs, and deploy them in scalable ways, while collaborating with cross-functional teams to drive search quality forward. This senior role involves ownership of RAG pipelines and impactful contributions to advanced search technologies.

Perks & Benefits

This is a fully remote position, offering flexibility in work location. You can expect a collaborative environment with Data, AI, Infrastructure, and Product teams, fostering career growth through high-impact projects. The role emphasizes a self-driven culture with ownership, likely supporting a healthy work-life balance typical in tech remote setups.

⚠️ This job was posted over 10 months ago and may no longer be open. We recommend checking the company's site for the latest status.

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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