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Member of Technical Staff (Software Engineer, AI Platform)

San Francisco, CA, US • Posted 1 hour ago • Updated 1 hour ago

Full Time

On-site

USD $220,000.00 - 405,000.00 per year

Fitment

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Job Details

Skills

Generative Artificial Intelligence (AI)
Amazon S3
Amazon Kinesis
PyTorch
Databricks
Snow Flake Schema
Use Cases
Collaboration
Data Science
Research
Analytics
Training
Data Engineering
Open Source
Cloud Computing
Amazon Web Services
Remote Desktop Services
Amazon RDS
Amazon DynamoDB
Docker
Apache Flink
Apache Spark
Streaming
Change Data Capture
Estimating
Machine Learning (ML)
Research and Development
Evaluation
Artificial Intelligence

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91140125
Position Id: 3f324a909d026013f781ed42ade7e90f
Posted 1 hour ago

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