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Member of Technical Staff (Machine Learning Engineer, Search) at Perplexity

Remote · BelgradeSearchFull-timePosted 19 months ago

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About the role

As published on Perplexity's job board.

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

Before you apply

  1. Scan your resume against this posting to see which of its terms you are missing.
  2. Tailor your resume so the summary and bullets use the posting's own wording where it is true for you.
  3. Read the research scientist resume guide and the interview questions for the role.
  4. Apply on Perplexity's site. Applications never pass through OneTwo Resume.

About Perplexity

AI answer engine that responds to questions with cited sources, along with the Comet browser and agent tools.

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