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Member of Technical Staff (Machine Learning Engineer, Search)

Perplexity
Belgrade (Hybrid)
Full-time
You apply on Perplexity's own careers site

This machine learning engineer builds search technologies focused on retrieval and ranking. The role involves training and evaluating models, deploying them at scale, and improving RAG pipelines in collaboration with Data, AI, Infrastructure, and Product teams.

Permanent
Hybrid
5+ years

Skills & Expertise

Search and retrieval systems
Ranking
Large language models
RAG pipelines
Model training and evaluation
Classification models
Recommender systems
Search quality metrics

Key Responsibilities

Train and evaluate retrieval, ranking, and classification models, including LLMs.

Build and optimize search platform components and RAG pipelines.

Deploy models at scale and improve search quality with partner teams.

Full Description

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

Applications are handled on Perplexity's site