Join Perplexity AI as a Machine Learning Engineer to advance search technologies focused on retrieval and ranking.
Posted by employer 1 year ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Machine Learning Engineer focuses on enhancing search quality through the development and deployment of advanced retrieval and ranking models. Key skills include expertise in search systems, large-scale model training, and the ability to optimize RAG pipelines. This position is ideal for a seasoned professional with at least five years of experience in search or recommendation systems, who thrives in a collaborative environment. Perplexity AI emphasizes innovation in search technology, making it a dynamic place for those passionate about pushing boundaries.
Joblaze insights
Quick facts
From the original posting
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