Member of Technical Staff (Machine Learning Engineer, Search)
Perplexity · Hybrid
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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
Information is read from Perplexity’s public careers board and was last checked Oct 23, 2026. Confirm details with the employer before applying. Report a problem.