Member of Technical Staff (Machine Learning Engineer, Search)
- Status
- Open
- Remote policy
- Hybrid
- Employment type
- Full-time
- Salary
- Not stated
- Categories
- Search
- Source
- perplexity
- First observed
- 2026-08-19 07:56 UTC
- Last seen
- 2026-08-19 07:56 UTC
- Source claims posted
- 2025-03-25 21:18 UTC
- Consecutive misses
- 0 of 3
What the posting says
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
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#179397 2026-08-19 07:56 UTCPublished