Member of Technical Staff (Machine Learning Engineer, Search)

About the role

Perplexity is looking for an experienced Machine Learning Engineer to advance its next‑generation search technologies. The role focuses on improving retrieval and ranking through model development, data, and tooling.

Key responsibilities

• Relentlessly push search quality forward—through models, data, tools, or any other leverage available.
• Architect and build core components of the search platform and model stack.
• Train and evaluate retrieval, ranking and classification models, including large language models.
• Deploy models—from boosting to LLMs—in a scalable and performant way.
• Build and optimise RAG pipelines for grounding and answer generation.
• Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high‑quality delivery.

Required profile

• 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 experience working on search or recommender‑system projects.