# Software Engineer, AI Platform

**Company**: Perplexity
**Location**: San Francisco, Palo Alto
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $220K – $405K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/perplexity/8673866c-f624-4b58-b171-752cf003630e
**Canonical**: https://yubhub.co/jobs/job_032dbd9f-e97

## Description

Perplexity is seeking an experienced Software Engineer to help build the next-gen AI Foundation & Platform. 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.

## What you'll do

- 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.

## What you need

- 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

## Skills

### Required
- Strong programming and data engineering skills
- Proficiency in open source & distributed framework
- Familiarity with cloud-based data services
- Strong quantitative and engineering skills

### Nice to have
- Experience supporting various ML/AI engineering teams
- Experience iterating on improving LLM responses