Perplexity

Internship role focused on improving search quality through retrieval, ranking, and RAG pipelines, involving model experimentation, implementation, training, and deployment support.

This role focuses on building and maintaining automated evaluation pipelines to assess the quality of answers generated by LLMs in Perplexity's search engine and other products. It involves designing evaluation sets, developing VLM-based solutions for visual rendering assessment, and adapting public benchmarks. The goal is to directly shape product changes by providing key evaluation metrics.

Engineering Site Lead for Perplexity in London, responsible for establishing and scaling the office, building and managing infrastructure and AI infrastructure teams, and driving technical excellence in AI systems. The role involves direct people management, setting technical direction, and ensuring robust systems for AI/ML workloads.

Software Engineer, Data Flywheel role focused on building systems and pipelines for accessing and utilizing eval verdicts, turning raw signals into datasets, and creating a simulator pipeline for user interactions. This role emphasizes data trust through monitoring and quality checks, operating within a high-impact team to improve Answer Quality.

Internship program focused on improving the AI inference engine and serving stack for Perplexity products, optimizing latency and throughput on large GPU clusters, and supporting new models and inference optimizations.

Infrastructure Engineer role focused on building and scaling the systems that support AI product development and deployment. The role involves designing, implementing, and maintaining tools, systems, and platforms for web, mobile, and browser engineers, ensuring reliability, security, and performance. Specific teams include Platform, DevX, and Cloud Infra, all contributing to the backbone of Perplexity's product and AI capabilities.