Perplexity
Member of Technical Staff (Machine Learning Engineer, Search)
Belgrade, US
Role snapshot
Perplexity is hiring a Member of Technical Staff (Machine Learning Engineer, Search) on a full-time basis. This is a remote role open to candidates in US. The listing highlights Search.
- Company
- Perplexity
- Location
- Belgrade, US
- Work mode
- Remote
- Job type
- Full-time
- Experience
- 5+ years
- Posted
- Oct 2, 2026
Who this role suits
Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.
How to prepare your application
- Check your résumé against the listed skills (Search) and give each one a concrete example: what you built or achieved, not just that you used it.
- Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
- Be ready to discuss trade-offs and scope, not only the tools you have used.
- Read what Perplexity publishes about its product or team, so you can say clearly why this role and this company.
- For remote roles, show that you communicate clearly in writing and can work without close supervision.
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About the role
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