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Perplexity Verified
Artificial Intelligence, Search Engine, Software

Software Engineer - AI Platform

San Francisco, California, United StatesOnsiteFull Time$220,000–$405,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Perplexity is hiring an experienced Software Engineer to build its next-generation AI Foundation & Platform, revolutionizing online search and interaction. This role involves developing end-to-end AI data, evaluation, and personalization infrastructure powering millions of users worldwide. You will collaborate with AI Product, Applied ML, Post-Training, and Data Science teams to design and maintain scalable data pipelines and lakes, build high-performance infrastructure for personalization features, and create a multi-modal evaluation platform. The ideal candidate will have strong programming and data engineering skills, proficiency in distributed systems and cloud-based data services, and experience supporting ML/AI engineering teams.

Perplexity is seeking an experienced Software Engineer focusing on building the next-gen AI Foundation & Platform to help revolutionize the way people search and interact online. In this role, you'll help build Perplexity’s end-to-end AI data, evaluation and personalization infrastructure and flywheel which powers almost all agent products.
Tech Stack:
Spark | AWS Data Stack (S3, RDS, DynamoDB, Docker, EKS, Kinesis) | Pytorch | DynamoDB | Databricks | Snowflake | LLM APIs
Perplexity is rapidly scaling both in number of use cases and number of users. Perplexity’s data stack powers scalable, personalized and fast answers for millions of people worldwide.
Responsibilities

  • Collaborate closely with AI Product, Applied ML, Post-Training, and Data Science teams to design, build, and maintain scalable data pipelines and data lakes
  • Develop high-performance infrastructure that powers personalization features including memory, discover, and agentic products
  • Create a scalable, multi-modal evaluation platform for all Perplexity AI products, including personalization, pro search, labs, deep research, and Comet
  • Design tools and abstractions on foundational infrastructure to enhance personalization, analytics, recommendations, AI products, and post-training capabilities
  • Holistically improve engineering foundation to support rapid growth of Perplexity products and international user base.

Qualifications

  • Strong programming and data engineering skills, with proficiency in open source & distributed framework(AWS, Spark, Flink, Iceberg, DynamoDB)
  • Familiarity with cloud-based data services (e.g., AWS, RDS, DynamoDB), containerized infrastructure (e.g., EKS, Docker), and data streaming (Flink, Spark streaming, CDC)
  • Strong quantitative and engineering skills with experience in estimating performance at high scale
  • Experience supporting various ML/AI engineering teams to build scalable frameworks to accelerate R&D for frontier models and AI products
  • Experience iterating on improving LLM responses and set up proper evaluation framework or Judges to analysis performance holistically.
  • Self-motivated with a strong sense of ownership of systems and designs
  • 5+ years of industry experience in distributed systems or AI infrastructure

Compensation Range: $220K - $405K

Ready to apply?
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