Ai Software Engineer - Data Platform - Sf, Palo Alto Or Nyc

at Perplexity AI
📍 New York City, United States
📍 San Francisco, United States
USD 200,000-280,000 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 R @ 3 Spark @ 3 Distributed Systems @ 5 Flink @ 5 Kinesis @ 3 Spark Streaming @ 2 Data Science @ 3 AWS @ 3 Data Engineering @ 5 Databricks @ 3 Design Patterns @ 3 PyTorch @ 3 Snowflake @ 3

Details

Perplexity is seeking an experienced Software Engineer focusing on building the next-gen AI Data 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 stack and flywheel which powers all AI products, ML use cases and language models.

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.

Tech Stack: Spark | AWS Data Stack (S3, RDS, DynamoDB, Docker, EKS, Kinesis) | Pytorch | Docker | Databricks | Snowflake

Responsibilities

  • Collaborating closely with AI Product, Applied ML, Post-Training and Data Science teams to design, build, and maintain scalable data pipelines and data lakes
  • Developing, deploying, and monitoring entire data lifecycle for ingestion, transformation, streaming and storage at high scale
  • Implementing tools and abstractions on top of data infrastructure for a variety of analytics, recommendations, AI product and post-training use cases
  • Working closely with product and AI teams to develop reusable data resources and design patterns

Requirements

  • Extensive programming and data engineering skills, with proficiency in open source & distributed data processing (AWS, Spark, Flink, Iceberg)
  • 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 platforms to accelerate R&D for frontier models and AI products
  • Self-motivated with a strong sense of ownership of systems and designs
  • 5+ years of industry experience in distributed systems or AI infrastructure

Benefits

  • Equity may be part of the total compensation package
  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Includes a 401(k) plan

Salary range mentioned from $200,000 to $280,000 with final offer based on multiple factors such as experience and expertise.